diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/README.md b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/README.md
new file mode 100644
index 0000000..2345007
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/README.md
@@ -0,0 +1,3 @@
+| Model               | Scenario   | Accuracy              |   Throughput | Latency (in ms)   |
+|---------------------|------------|-----------------------|--------------|-------------------|
+| stable-diffusion-xl | offline    | (15.58618, 236.08462) |        1.178 | -                 |
\ No newline at end of file
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/5024e36582b4-nvidia-gpu-TensorRT-scc24-base.json b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/5024e36582b4-nvidia-gpu-TensorRT-scc24-base.json
new file mode 100644
index 0000000..00b5fb8
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/5024e36582b4-nvidia-gpu-TensorRT-scc24-base.json
@@ -0,0 +1,7 @@
+{
+  "starting_weights_filename": "https://github.com/mlcommons/cm4mlops/blob/main/script/get-ml-model-stable-diffusion/_cm.json#L174",
+  "retraining": "no",
+  "input_data_types": "int32",
+  "weight_data_types": "int8",
+  "weight_transformations": "quantization, affine fusion"
+}
\ No newline at end of file
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/README.md b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/README.md
new file mode 100644
index 0000000..e70d016
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/README.md
@@ -0,0 +1,97 @@
+This experiment is generated using the [MLCommons Collective Mind automation framework (CM)](https://github.com/mlcommons/cm4mlops).
+
+*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.*
+
+## Host platform
+
+* OS version: Linux-6.2.0-39-generic-x86_64-with-glibc2.29
+* CPU version: x86_64
+* Python version: 3.8.10 (default, Sep 11 2024, 16:02:53) 
+[GCC 9.4.0]
+* MLCommons CM version: 3.0.2
+
+## CM Run Command
+
+See [CM installation guide](https://docs.mlcommons.org/inference/install/).
+
+```bash
+pip install -U cmind
+
+cm rm cache -f
+
+cm pull repo gateoverflow@cm4mlops --checkout=78d334367e6e6118c252c4bae33e33a2ed0fc69a
+
+cm run script \
+	--tags=app,mlperf,inference,generic,_nvidia,_sdxl,_tensorrt,_test,_r4.1-dev_default,_float16,_offline \
+	--quiet=true \
+	--env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes \
+	--env.CM_QUIET=yes \
+	--env.CM_MLPERF_IMPLEMENTATION=nvidia \
+	--env.CM_MLPERF_MODEL=sdxl \
+	--env.CM_MLPERF_RUN_STYLE=test \
+	--env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=False \
+	--env.CM_MLPERF_BACKEND=tensorrt \
+	--env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=datacenter \
+	--env.CM_MLPERF_CLEAN_ALL=True \
+	--env.CM_MLPERF_DEVICE= \
+	--env.CM_MLPERF_USE_DOCKER=True \
+	--env.CM_MLPERF_MODEL_PRECISION=float16 \
+	--env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \
+	--env.CM_MLPERF_LOADGEN_SCENARIO=Offline \
+	--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \
+	--env.CM_MLPERF_INFERENCE_VERSION=4.1-dev \
+	--env.CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r4.1-dev_default \
+	--env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=short \
+	--env.CM_MLPERF_SUT_NAME_RUN_CONFIG_SUFFIX4=scc24-base \
+	--env.CM_DOCKER_IMAGE_NAME=scc24-nvidia \
+	--env.CM_MLPERF_LOADGEN_ALL_MODES=yes \
+	--env.CM_MLPERF_LAST_RELEASE=v4.1 \
+	--env.CM_TMP_CURRENT_PATH=/home/arjun/actions-runner/_work/cm4mlops/cm4mlops \
+	--env.CM_TMP_PIP_VERSION_STRING= \
+	--env.CM_MODEL=sdxl \
+	--env.CM_MLPERF_LOADGEN_COMPLIANCE=no \
+	--env.CM_MLPERF_CLEAN_SUBMISSION_DIR=yes \
+	--env.CM_RERUN=yes \
+	--env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= \
+	--env.CM_MLPERF_LOADGEN_MODE=performance \
+	--env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline \
+	--env.CM_MLPERF_LOADGEN_MODES,=performance,accuracy \
+	--env.CM_OUTPUT_FOLDER_NAME=test_results \
+	--add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r4_1-dev \
+	--add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r4_1-dev \
+	--add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r4_1-dev \
+	--add_deps_recursive.submission-checker.tags=_short-run \
+	--add_deps_recursive.coco2014-preprocessed.tags=_size.50,_with-sample-ids \
+	--add_deps_recursive.coco2014-dataset.tags=_size.50,_with-sample-ids \
+	--add_deps_recursive.nvidia-preprocess-data.extra_cache_tags=scc24-base \
+	--v=False \
+	--print_env=False \
+	--print_deps=False \
+	--dump_version_info=True \
+	--env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \
+	--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \
+	--env.SDXL_CHECKPOINT_PATH=/home/cmuser/CM/repos/local/cache/6be1f30ecbde4c4e/stable_diffusion_fp16 \
+	--env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/e066920512fd47b7
+```
+*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf (CM scripts),
+ you should simply reload gateoverflow@cm4mlops without checkout and clean CM cache as follows:*
+
+```bash
+cm rm repo gateoverflow@cm4mlops
+cm pull repo gateoverflow@cm4mlops
+cm rm cache -f
+
+```
+
+## Results
+
+Platform: 5024e36582b4-nvidia-gpu-TensorRT-scc24-base
+
+Model Precision: int8
+
+### Accuracy Results 
+`CLIP_SCORE`: `15.58618`, Required accuracy for closed division `>= 31.68632` and `<= 31.81332`
+`FID_SCORE`: `236.08462`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008`
+
+### Performance Results 
+`Samples per second`: `1.17802`
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy_console.out b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy_console.out
new file mode 100644
index 0000000..e69de29
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/cm-version-info.json b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/cm-version-info.json
new file mode 100644
index 0000000..dc02d2a
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/cm-version-info.json
@@ -0,0 +1,2094 @@
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+        "parent": "benchmark-program-mlperf,cfff0132a8aa4018"
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+        "script_alias": "benchmark-program-mlperf",
+        "script_tags": "mlperf,benchmark-mlperf",
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+  ]
+}
\ No newline at end of file
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/cpu_info.json b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/cpu_info.json
new file mode 100644
index 0000000..409bc4c
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/cpu_info.json
@@ -0,0 +1,27 @@
+{
+  "CM_HOST_CPU_WRITE_PROTECT_SUPPORT": "yes",
+  "CM_HOST_CPU_MICROCODE": "0x2b0004d0",
+  "CM_HOST_CPU_FPU_SUPPORT": "yes",
+  "CM_HOST_CPU_FPU_EXCEPTION_SUPPORT": "yes",
+  "CM_HOST_CPU_BUGS": "spectre_v1 spectre_v2 spec_store_bypass swapgs eibrs_pbrsb",
+  "CM_HOST_CPU_TLB_SIZE": "Not Found",
+  "CM_HOST_CPU_CFLUSH_SIZE": "64",
+  "CM_HOST_CPU_ARCHITECTURE": "x86_64",
+  "CM_HOST_CPU_TOTAL_CORES": "48",
+  "CM_HOST_CPU_ON_LINE_CPUS_LIST": "0-47",
+  "CM_HOST_CPU_THREADS_PER_CORE": "2",
+  "CM_HOST_CPU_PHYSICAL_CORES_PER_SOCKET": "24",
+  "CM_HOST_CPU_SOCKETS": "1",
+  "CM_HOST_CPU_NUMA_NODES": "1",
+  "CM_HOST_CPU_VENDOR_ID": "GenuineIntel",
+  "CM_HOST_CPU_FAMILY": "6",
+  "CM_HOST_CPU_MODEL_NAME": "Intel(R) Xeon(R) w7-2495X",
+  "CM_HOST_CPU_MAX_MHZ": "4800.0000",
+  "CM_HOST_CPU_L1D_CACHE_SIZE": "1.1 MiB",
+  "CM_HOST_CPU_L1I_CACHE_SIZE": "768 KiB",
+  "CM_HOST_CPU_L2_CACHE_SIZE": "48 MiB",
+  "CM_HOST_CPU_L3_CACHE_SIZE": "45 MiB",
+  "CM_HOST_CPU_TOTAL_LOGICAL_CORES": "48",
+  "CM_HOST_MEMORY_CAPACITY": "192G",
+  "CM_HOST_DISK_CAPACITY": "7.0T"
+}
\ No newline at end of file
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/mlperf.conf b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/mlperf.conf
new file mode 100644
index 0000000..10f7ae7
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/mlperf.conf
@@ -0,0 +1,98 @@
+# The format of this config file is 'key = value'.
+# The key has the format 'model.scenario.key'. Value is mostly int64_t.
+# Model maybe '*' as wildcard. In that case the value applies to all models.
+# All times are in milli seconds
+
+# Set performance_sample_count for each model.
+# User can optionally set this to higher values in user.conf.
+resnet50.*.performance_sample_count_override = 1024
+ssd-mobilenet.*.performance_sample_count_override = 256
+retinanet.*.performance_sample_count_override = 64
+bert.*.performance_sample_count_override = 10833
+dlrm.*.performance_sample_count_override = 204800
+dlrm-v2.*.performance_sample_count_override = 204800
+rnnt.*.performance_sample_count_override = 2513
+gptj.*.performance_sample_count_override = 13368
+llama2-70b.*.performance_sample_count_override = 24576
+stable-diffusion-xl.*.performance_sample_count_override = 5000
+# set to 0 to let entire sample set to be performance sample
+3d-unet.*.performance_sample_count_override = 0
+
+# Set seeds. The seeds will be distributed two weeks before the submission.
+*.*.qsl_rng_seed = 3066443479025735752
+*.*.sample_index_rng_seed = 10688027786191513374
+*.*.schedule_rng_seed = 14962580496156340209
+# Set seeds for TEST_05. The seeds will be distributed two weeks before the submission.
+*.*.test05_qsl_rng_seed = 16799458546791641818
+*.*.test05_sample_index_rng_seed = 5453809927556429288
+*.*.test05_schedule_rng_seed = 5435552105434836064
+
+
+*.SingleStream.target_latency_percentile = 90
+*.SingleStream.min_duration = 600000
+
+*.MultiStream.target_latency_percentile = 99
+*.MultiStream.samples_per_query = 8
+*.MultiStream.min_duration = 600000
+*.MultiStream.min_query_count = 662
+retinanet.MultiStream.target_latency = 528
+
+# 3D-UNet uses equal issue mode because it has non-uniform inputs
+3d-unet.*.sample_concatenate_permutation = 1
+
+# LLM benchmarks have non-uniform inputs and outputs, and use equal issue mode for all latency scenario
+gptj.*.sample_concatenate_permutation = 1
+llama2-70b.*.sample_concatenate_permutation = 1
+mixtral-8x7b.*.sample_concatenate_permutation = 1
+
+*.Server.target_latency = 10
+*.Server.target_latency_percentile = 99
+*.Server.target_duration = 0
+*.Server.min_duration = 600000
+resnet50.Server.target_latency = 15
+retinanet.Server.target_latency = 100
+bert.Server.target_latency = 130
+dlrm.Server.target_latency = 60
+dlrm-v2.Server.target_latency = 60
+rnnt.Server.target_latency = 1000
+gptj.Server.target_latency = 20000
+stable-diffusion-xl.Server.target_latency = 20000
+# Llama2-70b benchmarks measures token latencies
+llama2-70b.*.use_token_latencies = 1
+mixtral-8x7b.*.use_token_latencies = 1
+# gptj benchmark infers token latencies
+gptj.*.infer_token_latencies = 1
+gptj.*.token_latency_scaling_factor = 69
+# Only ttft and tpot are tracked for the llama2-70b & mixtral-8x7B benchmark therefore target_latency = 0
+llama2-70b.Server.target_latency = 0
+llama2-70b.Server.ttft_latency = 2000
+llama2-70b.Server.tpot_latency = 200
+
+mixtral-8x7b.Server.target_latency = 0
+mixtral-8x7b.Server.ttft_latency = 2000
+mixtral-8x7b.Server.tpot_latency = 200
+
+*.Offline.target_latency_percentile = 90
+*.Offline.min_duration = 600000
+
+# In Offline scenario, we always have one query. But LoadGen maps this to
+# min_sample_count internally in Offline scenario. If the dataset size is larger 
+# than 24576 we limit the min_query_count to 24576 and otherwise we use 
+# the dataset size as the limit
+
+resnet50.Offline.min_query_count = 24576
+retinanet.Offline.min_query_count = 24576
+dlrm-v2.Offline.min_query_count = 24576
+bert.Offline.min_query_count = 10833
+gptj.Offline.min_query_count = 13368
+rnnt.Offline.min_query_count = 2513
+3d-unet.Offline.min_query_count = 43
+stable-diffusion-xl.Offline.min_query_count = 5000
+llama2-70b.Offline.min_query_count = 24576
+mixtral-8x7b.Offline.min_query_count = 15000
+
+# These fields should be defined and overridden by user.conf.
+*.SingleStream.target_latency = 10
+*.MultiStream.target_latency = 80
+*.Server.target_qps = 1.0
+*.Offline.target_qps = 1.0
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/os_info.json b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/os_info.json
new file mode 100644
index 0000000..83b98e7
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/os_info.json
@@ -0,0 +1,30 @@
+{
+  "CM_HOST_OS_TYPE": "linux",
+  "CM_HOST_OS_BITS": "64",
+  "CM_HOST_OS_FLAVOR": "ubuntu",
+  "CM_HOST_OS_FLAVOR_LIKE": "debian",
+  "CM_HOST_OS_VERSION": "20.04",
+  "CM_HOST_OS_KERNEL_VERSION": "6.2.0-39-generic",
+  "CM_HOST_OS_GLIBC_VERSION": "2.31",
+  "CM_HOST_OS_MACHINE": "x86_64",
+  "CM_HOST_OS_PACKAGE_MANAGER": "apt",
+  "CM_HOST_OS_PACKAGE_MANAGER_INSTALL_CMD": "DEBIAN_FRONTEND=noninteractive apt-get install -y",
+  "CM_HOST_OS_PACKAGE_MANAGER_UPDATE_CMD": "apt-get update -y",
+  "+CM_HOST_OS_DEFAULT_LIBRARY_PATH": [
+    "/usr/local/lib/x86_64-linux-gnu",
+    "/lib/x86_64-linux-gnu",
+    "/usr/lib/x86_64-linux-gnu",
+    "/usr/lib/x86_64-linux-gnu64",
+    "/usr/local/lib64",
+    "/lib64",
+    "/usr/lib64",
+    "/usr/local/lib",
+    "/lib",
+    "/usr/lib",
+    "/usr/x86_64-linux-gnu/lib64",
+    "/usr/x86_64-linux-gnu/lib"
+  ],
+  "CM_HOST_PLATFORM_FLAVOR": "x86_64",
+  "CM_HOST_PYTHON_BITS": "64",
+  "CM_HOST_SYSTEM_NAME": "5024e36582b4"
+}
\ No newline at end of file
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance_console.out b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance_console.out
new file mode 100644
index 0000000..e69de29
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/pip_freeze.json b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/pip_freeze.json
new file mode 100644
index 0000000..e4d1b2b
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/pip_freeze.json
@@ -0,0 +1,110 @@
+{
+  "pip_freeze": {
+    "absl-py": "2.1.0",
+    "accelerate": "1.0.1",
+    "aiohappyeyeballs": "2.4.3",
+    "aiohttp": "3.10.10",
+    "aiosignal": "1.3.1",
+    "appdirs": "1.4.4",
+    "astunparse": "1.6.3",
+    "async-timeout": "4.0.3",
+    "attrs": "24.2.0",
+    "boto3": "1.35.44",
+    "botocore": "1.35.44",
+    "certifi": "2024.8.30",
+    "charset-normalizer": "3.3.2",
+    "cmind": "3.0.2",
+    "colored": "1.4.4",
+    "coloredlogs": "15.0.1",
+    "cuda-python": "12.3.0",
+    "datasets": "3.0.1",
+    "diffusers": "0.30.3",
+    "dill": "0.3.8",
+    "dm-tree": "0.1.8",
+    "dmiparser": "5.1",
+    "filelock": "3.16.1",
+    "flatbuffers": "24.3.25",
+    "frozenlist": "1.4.1",
+    "fsspec": "2024.10.0",
+    "ftfy": "6.2.3",
+    "gast": "0.6.0",
+    "gitdb": "4.0.11",
+    "GitPython": "3.1.43",
+    "giturlparse": "0.12.0",
+    "graphlib-backport": "1.1.0",
+    "huggingface-hub": "0.26.0",
+    "humanfriendly": "10.0",
+    "idna": "3.10",
+    "importlib-metadata": "8.5.0",
+    "jinja2": "3.1.4",
+    "jmespath": "1.0.1",
+    "lightning-utilities": "0.11.8",
+    "Mako": "1.3.5",
+    "MarkupSafe": "2.1.5",
+    "mlperf-loadgen": "4.0",
+    "mlperf-logging": "3.0.0",
+    "mpmath": "1.3.0",
+    "multidict": "6.1.0",
+    "multiprocess": "0.70.17",
+    "networkx": "3.1",
+    "ninja": "1.11.1.1",
+    "numpy": "1.23.5",
+    "nvidia-ammo": "0.7.4",
+    "nvidia-dali-cuda120": "1.42.0",
+    "nvidia-nvimgcodec-cu12": "0.3.0.5",
+    "nvmitten": "0.1.3b0",
+    "nvtx": "0.2.10",
+    "onnx": "1.14.0",
+    "onnx-graphsurgeon": "0.5.2",
+    "onnxruntime": "1.16.3",
+    "open-clip-torch": "2.27.1",
+    "opencv-python": "4.10.0.84",
+    "optimum": "1.23.1",
+    "packaging": "24.1",
+    "pandas": "2.0.3",
+    "pillow": "10.4.0",
+    "pip": "20.0.2",
+    "platformdirs": "4.3.6",
+    "polygraphy": "0.49.9",
+    "propcache": "0.2.0",
+    "protobuf": "5.28.2",
+    "psutil": "6.1.0",
+    "pyarrow": "17.0.0",
+    "pybind11": "2.13.6",
+    "pycuda": "2022.2.2",
+    "python-dateutil": "2.9.0.post0",
+    "pytools": "2024.1.14",
+    "pytz": "2024.2",
+    "PyYAML": "6.0.2",
+    "regex": "2024.9.11",
+    "requests": "2.32.3",
+    "s3transfer": "0.10.3",
+    "safetensors": "0.4.5",
+    "scipy": "1.10.1",
+    "sentencepiece": "0.2.0",
+    "setuptools": "45.2.0",
+    "six": "1.16.0",
+    "smmap": "5.0.1",
+    "sympy": "1.13.3",
+    "tabulate": "0.9.0",
+    "tensorrt": "9.3.0.post12.dev1",
+    "tensorrt-dispatch": "9.3.0.post12.dev1",
+    "tensorrt-lean": "9.3.0.post12.dev1",
+    "timm": "1.0.11",
+    "tokenizers": "0.20.1",
+    "torch": "2.1.0a0+git32f93b1",
+    "torch-fidelity": "0.3.0",
+    "torchmetrics": "1.5.0",
+    "torchvision": "0.16.0a0+657027f",
+    "tqdm": "4.66.5",
+    "transformers": "4.45.2",
+    "typing-extensions": "4.12.2",
+    "tzdata": "2024.2",
+    "urllib3": "2.2.3",
+    "wcwidth": "0.2.13",
+    "wheel": "0.34.2",
+    "xxhash": "3.5.0",
+    "yarl": "1.15.2",
+    "zipp": "3.20.2"
+  }
+}
\ No newline at end of file
diff --git a/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/user.conf b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/user.conf
new file mode 100644
index 0000000..21df3f1
--- /dev/null
+++ b/open/MLCommons/measurements/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/user.conf
@@ -0,0 +1,5 @@
+stable-diffusion-xl.Offline.target_qps = 0.05
+stable-diffusion-xl.Offline.max_query_count = 10
+stable-diffusion-xl.Offline.min_query_count = 10
+stable-diffusion-xl.Offline.min_duration = 0
+stable-diffusion-xl.Offline.sample_concatenate_permutation = 0
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/accuracy.txt b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/accuracy.txt
new file mode 100644
index 0000000..b225e56
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/accuracy.txt
@@ -0,0 +1,2 @@
+Accuracy Results: {'FID_SCORE': 236.084624168811, 'CLIP_SCORE': 15.586181968450546}
+hash=45390d6d1f310510566c3062504b0274e2db868a794299977c5eae76ed3f5f95
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/images/captions.txt b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/images/captions.txt
new file mode 100644
index 0000000..102b05d
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/images/captions.txt
@@ -0,0 +1,10 @@
+4655  Close up of a red fire hydrant near a sidewalk.
+2569  A dark table has a large arrangement of food.
+1303  A baby boy standing inside of a wooden crib.
+109  People walking toward an airplane to board it.
+4509  a couple of horses grazing on some green grass
+3009  A horse that is standing with a cart near birds.
+2179  A man holds up a Polish sausage on a bun.
+1826  Two dogs resting comfortably on a tiled floor.
+2094  A cat hiding in a basket of some sort.
+3340  Vintage picture of a man and a horse on the farm.
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json
new file mode 100644
index 0000000..90e2fe7
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json
@@ -0,0 +1,7 @@
+[
+{ "seq_id" : 2, "qsl_idx" : 46, "data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
+
+...
+
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+]
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt
new file mode 100644
index 0000000..3cb359c
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt
@@ -0,0 +1,68 @@
+:::MLLOG {"key": "loadgen_version", "value": "4.0 @ 486a629ea4", "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loadgen_build_date_local", "value": "2024-10-22T20:26:29.123123", "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loadgen_build_date_utc", "value": "2024-10-23T03:26:29.123128", "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loadgen_git_commit_date", "value": "2024-02-15T15:46:50-05:00", "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loadgen_git_log_message", "value": "486a629ea4d5c5150f452d0b0a196bf71fd2021e Hotfix: DLRMv2 Audit Test01 fallback failure (#1626)\nf9a643c0a0e920588da1b51a1d822e1071a9dbec Add number of tokens to offline (#1623)\nf06b920eac2170df38b5502c7443f50c9afa6045 Bugfix: equal-issue mode on offline causing accuracy run to fail (3D-UNet) (#1624)\n0ed5190e82e1ca1cf95626e50e61cb6678c7f2ff Fix submission checker and TEST06 for Llama2 (#1616)\n817dd961221d3ca284b024368130bd5dc5e4b54a Turn equal issue mode off for TEST06 (#1615)\n840435a1abe8be823e0a5a18ad3173bc520aa24f Update README.md with CM commands to download stable-diffusion, gptj and dlrmv2 models (#1604)\n3190d09a148bc1d72c9d946e4cf3b54db0d0e60a Typo fix in README.md (#1588)\nb0777f0bd3b7e5cd6a51d670d8b4df656cf6fb29 Update README.md - remove unwanted lines in CM commands (#1601)\nd7dba0826ac96a0e8bcae525086961e47c409a38 Remove loadgen warnings (#1608)\nd45a66c33bb0b6548d6172b38645bf94ffe24b39 Add upper limit to tokens per sample (#1612)\n44285d9a44041c3d4f7df0acf1e72c375e9fcbd2 Set completed samples per second as llama metric (#1613)\n357ccefca4db55ff373e029d5d1e3e6246bde5d4 Enable equal issue mode for LLM benchmarks (#1610)\n104d85531af7ae2a07ded36dd6e8c7f2c7746d06 Add sample length check to test06 (#1603)\n473053fc9f1b8c5edf60e11ec74607126938fbc4 Fix loadgen token metrics latency constrains (#1596)\ncc3daae3c7f18d7eedc5ffbc271d324e5aca6233 #1598: fix token and sample logging for Llama2 when accuracy_log_sampling_target is enabled (#1599)\n3a902e598e5a17013c26fea975c0a60e6d7feae1 Add support to dump 10 compliance images during accuracy run for SDXL (#1591)", "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"05d4a62d355a90363847358e58afeee4a54ad838","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/bindings/c_api.cc":"32181da9e161c285f8fe46ddaa49e6cba2f9f918","/bindings/c_api.h":"91f58bd79b83b278f3240174a9af747fc38aff74","/bindings/python_api.cc":"1dc0865130371c6a8ddb97cd8039244d74d6fe46","/demos/py_demo_multi_stream.py":"6ccf7dcbe08f8382ed2d3618370c2b21e205ca13","/demos/py_demo_offline.py":"6c3075538e0a3df5e93edee917f4537099759e11","/demos/py_demo_server.py":"40e37ea121ac08b21ed6af41aca8eb5eda641b89","/demos/py_demo_single_stream.py":"4ee5f048fb0dffc415342a2bc2049fb155bd2894","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"126e952d00f4ea9efd12405fb209aa3ed585e4b2","/issue_query_controller.h":"923d9d5cdf598e3ec33d7a1110a31f7e11527ec7","/loadgen.cc":"6650091ba7a918f343b06eb7a5aa540eae87275f","/loadgen.h":"e00fdc6dbc85a8c9a8485dbcbfe2944f81251c4e","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"197efc96d178e5d33a750d07fa7b2966417506ea","/logging.h":"ddb961df7bcc145bcd7cce8c21f7cf075350dcbe","/pyproject.toml":"974adb632af4b76a1c72b914cc2cf9b3cbc66aa3","/query_dispatch_library.h":"13ad6d842200cb161d6927eb74a3fafd79c46c75","/query_sample.h":"e9187c8612bbdc972305b789feb6e15c26e96cfe","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"a170f991de69f8a5e45616e871b39a30ffed5598","/results.h":"d82500c326c2de83db411f1146882aa4692b419c","/setup.py":"e3e707e1191478332c00f1b6ff806f0ef98e0f65","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"aaf3803e700f3431a5ada72559eef5cce996ea64","/test_settings_internal.cc":"42aa46b17ac3fb2748cd5cde60fa8742e916f3c8","/test_settings_internal.h":"73b11c02228f3afb4c924db7a86fd8a2b5b9e483","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"4c9d98360b507d5673049ed70154fcfb2934f8a6"}, "time_ms": 0.003752, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "test_datetime", "value": "2024-10-22T20:48:00Z", "time_ms": 0.048232, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.048232, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1199, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "get_sut_name_duration_ns", "value": 375, "time_ms": 0.048232, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1200, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.048232, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1201, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.048232, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1202, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.048232, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1203, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 268, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_test_mode", "value": "AccuracyOnly", "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 269, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 306, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 312, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 313, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_min_query_count", "value": 10, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 314, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_max_query_count", "value": 10, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 315, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 322, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 327, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 329, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.053977, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 409, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_test_mode", "value": "AccuracyOnly", "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 410, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_samples_per_query", "value": 10, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 412, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 413, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 414, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 415, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 417, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 420, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_max_query_count", "value": 10, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_min_sample_count", "value": 10, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 425, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 428, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 436, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.054113, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "generic_message", "value": "Starting accuracy mode", "time_ms": 0.055475, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1090, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.072423, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 613, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.093375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "generated_samples_per_query", "value": 10, "time_ms": 0.093375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 429, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 0.093375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 430, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 36921.749597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 898, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 36921.749597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 900, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 36921.749597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 36921.749597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 36921.749597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 36921.749597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "power_begin", "value": "10-23-2024 03:48:00.932", "time_ms": 36921.751615, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 11124, "tid": 11124}}
+:::MLLOG {"key": "power_end", "value": "10-23-2024 03:48:37.833", "time_ms": 36921.751615, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 566, "pid": 11124, "tid": 11124}}
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt
new file mode 100644
index 0000000..a05d865
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt
@@ -0,0 +1,4 @@
+
+No warnings encountered during test.
+
+No errors encountered during test.
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json
new file mode 100644
index 0000000..0d4f101
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json
@@ -0,0 +1,2 @@
+[
+]
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt
new file mode 100644
index 0000000..ceacbf2
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt
@@ -0,0 +1,85 @@
+:::MLLOG {"key": "loadgen_version", "value": "4.0 @ 486a629ea4", "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loadgen_build_date_local", "value": "2024-10-22T20:26:29.123123", "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loadgen_build_date_utc", "value": "2024-10-23T03:26:29.123128", "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loadgen_git_commit_date", "value": "2024-02-15T15:46:50-05:00", "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loadgen_git_log_message", "value": "486a629ea4d5c5150f452d0b0a196bf71fd2021e Hotfix: DLRMv2 Audit Test01 fallback failure (#1626)\nf9a643c0a0e920588da1b51a1d822e1071a9dbec Add number of tokens to offline (#1623)\nf06b920eac2170df38b5502c7443f50c9afa6045 Bugfix: equal-issue mode on offline causing accuracy run to fail (3D-UNet) (#1624)\n0ed5190e82e1ca1cf95626e50e61cb6678c7f2ff Fix submission checker and TEST06 for Llama2 (#1616)\n817dd961221d3ca284b024368130bd5dc5e4b54a Turn equal issue mode off for TEST06 (#1615)\n840435a1abe8be823e0a5a18ad3173bc520aa24f Update README.md with CM commands to download stable-diffusion, gptj and dlrmv2 models (#1604)\n3190d09a148bc1d72c9d946e4cf3b54db0d0e60a Typo fix in README.md (#1588)\nb0777f0bd3b7e5cd6a51d670d8b4df656cf6fb29 Update README.md - remove unwanted lines in CM commands (#1601)\nd7dba0826ac96a0e8bcae525086961e47c409a38 Remove loadgen warnings (#1608)\nd45a66c33bb0b6548d6172b38645bf94ffe24b39 Add upper limit to tokens per sample (#1612)\n44285d9a44041c3d4f7df0acf1e72c375e9fcbd2 Set completed samples per second as llama metric (#1613)\n357ccefca4db55ff373e029d5d1e3e6246bde5d4 Enable equal issue mode for LLM benchmarks (#1610)\n104d85531af7ae2a07ded36dd6e8c7f2c7746d06 Add sample length check to test06 (#1603)\n473053fc9f1b8c5edf60e11ec74607126938fbc4 Fix loadgen token metrics latency constrains (#1596)\ncc3daae3c7f18d7eedc5ffbc271d324e5aca6233 #1598: fix token and sample logging for Llama2 when accuracy_log_sampling_target is enabled (#1599)\n3a902e598e5a17013c26fea975c0a60e6d7feae1 Add support to dump 10 compliance images during accuracy run for SDXL (#1591)", "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"05d4a62d355a90363847358e58afeee4a54ad838","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/bindings/c_api.cc":"32181da9e161c285f8fe46ddaa49e6cba2f9f918","/bindings/c_api.h":"91f58bd79b83b278f3240174a9af747fc38aff74","/bindings/python_api.cc":"1dc0865130371c6a8ddb97cd8039244d74d6fe46","/demos/py_demo_multi_stream.py":"6ccf7dcbe08f8382ed2d3618370c2b21e205ca13","/demos/py_demo_offline.py":"6c3075538e0a3df5e93edee917f4537099759e11","/demos/py_demo_server.py":"40e37ea121ac08b21ed6af41aca8eb5eda641b89","/demos/py_demo_single_stream.py":"4ee5f048fb0dffc415342a2bc2049fb155bd2894","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"126e952d00f4ea9efd12405fb209aa3ed585e4b2","/issue_query_controller.h":"923d9d5cdf598e3ec33d7a1110a31f7e11527ec7","/loadgen.cc":"6650091ba7a918f343b06eb7a5aa540eae87275f","/loadgen.h":"e00fdc6dbc85a8c9a8485dbcbfe2944f81251c4e","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"197efc96d178e5d33a750d07fa7b2966417506ea","/logging.h":"ddb961df7bcc145bcd7cce8c21f7cf075350dcbe","/pyproject.toml":"974adb632af4b76a1c72b914cc2cf9b3cbc66aa3","/query_dispatch_library.h":"13ad6d842200cb161d6927eb74a3fafd79c46c75","/query_sample.h":"e9187c8612bbdc972305b789feb6e15c26e96cfe","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"a170f991de69f8a5e45616e871b39a30ffed5598","/results.h":"d82500c326c2de83db411f1146882aa4692b419c","/setup.py":"e3e707e1191478332c00f1b6ff806f0ef98e0f65","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"aaf3803e700f3431a5ada72559eef5cce996ea64","/test_settings_internal.cc":"42aa46b17ac3fb2748cd5cde60fa8742e916f3c8","/test_settings_internal.h":"73b11c02228f3afb4c924db7a86fd8a2b5b9e483","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"4c9d98360b507d5673049ed70154fcfb2934f8a6"}, "time_ms": 0.004117, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "test_datetime", "value": "2024-10-22T20:47:16Z", "time_ms": 0.037180, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.037180, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1199, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "get_sut_name_duration_ns", "value": 572, "time_ms": 0.037180, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1200, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.037180, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1201, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.037180, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1202, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.037180, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1203, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 268, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_test_mode", "value": "PerformanceOnly", "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 269, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 306, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 312, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 313, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_min_query_count", "value": 10, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 314, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_max_query_count", "value": 10, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 315, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 322, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 327, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 329, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.042946, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 409, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 410, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_samples_per_query", "value": 10, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 412, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 413, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 414, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 415, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 417, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 420, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_max_query_count", "value": 10, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_min_sample_count", "value": 10, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 425, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 428, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 436, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.043081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.048921, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 841, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.055303, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 613, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.078465, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "generated_samples_per_query", "value": 10, "time_ms": 0.078465, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 429, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 0.078465, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 430, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 0.123851, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 8494.842972, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 898, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 8494.842972, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 900, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 8494.842972, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 8494.842972, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 8494.842972, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 8494.842972, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "power_begin", "value": "10-23-2024 03:47:16.476", "time_ms": 8494.844006, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "power_end", "value": "10-23-2024 03:47:24.965", "time_ms": 8494.844006, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 566, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 644, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 649, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 650, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 651, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "early_stopping_result", "value": "", "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 669, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_samples_per_second", "value": 1.17802, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 735, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_min_latency_ns", "value": 2831454040, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 741, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_max_latency_ns", "value": 8488806672, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 742, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_mean_latency_ns", "value": 5096385857, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 743, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 5661254590, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 745, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 8488806672, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 745, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 8488806672, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 745, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 8488806672, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 745, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 8488806672, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 745, "pid": 9532, "tid": 9532}}
+:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 8488806672, "time_ms": 8494.854081, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 745, "pid": 9532, "tid": 9532}}
diff --git a/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt
new file mode 100644
index 0000000..010b2a5
--- /dev/null
+++ b/open/MLCommons/results/5024e36582b4-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt
@@ -0,0 +1,51 @@
+================================================
+MLPerf Results Summary
+================================================
+SUT name : PySUT
+Scenario : Offline
+Mode     : PerformanceOnly
+Samples per second: 1.17802
+Result is : VALID
+  Min duration satisfied : Yes
+  Min queries satisfied : Yes
+  Early stopping satisfied: Yes
+
+================================================
+Additional Stats
+================================================
+Min latency (ns)                : 2831454040
+Max latency (ns)                : 8488806672
+Mean latency (ns)               : 5096385857
+50.00 percentile latency (ns)   : 5661254590
+90.00 percentile latency (ns)   : 8488806672
+95.00 percentile latency (ns)   : 8488806672
+97.00 percentile latency (ns)   : 8488806672
+99.00 percentile latency (ns)   : 8488806672
+99.90 percentile latency (ns)   : 8488806672
+
+================================================
+Test Parameters Used
+================================================
+samples_per_query : 10
+target_qps : 0.05
+target_latency (ns): 0
+max_async_queries : 1
+min_duration (ms): 0
+max_duration (ms): 0
+min_query_count : 1
+max_query_count : 10
+qsl_rng_seed : 3066443479025735752
+sample_index_rng_seed : 10688027786191513374
+schedule_rng_seed : 14962580496156340209
+accuracy_log_rng_seed : 0
+accuracy_log_probability : 0
+accuracy_log_sampling_target : 0
+print_timestamps : 0
+performance_issue_unique : 0
+performance_issue_same : 0
+performance_issue_same_index : 0
+performance_sample_count : 5000
+
+No warnings encountered during test.
+
+No errors encountered during test.
diff --git a/open/MLCommons/systems/5024e36582b4-nvidia-gpu-TensorRT-scc24-base.json b/open/MLCommons/systems/5024e36582b4-nvidia-gpu-TensorRT-scc24-base.json
new file mode 100644
index 0000000..142c14a
--- /dev/null
+++ b/open/MLCommons/systems/5024e36582b4-nvidia-gpu-TensorRT-scc24-base.json
@@ -0,0 +1,37 @@
+{
+  "accelerator_frequency": "2520000 MHz",
+  "accelerator_host_interconnect": "N/A",
+  "accelerator_interconnect": "N/A",
+  "accelerator_interconnect_topology": "",
+  "accelerator_memory_capacity": "23.64703369140625 GB",
+  "accelerator_memory_configuration": "N/A",
+  "accelerator_model_name": "NVIDIA GeForce RTX 4090",
+  "accelerator_on-chip_memories": "",
+  "accelerators_per_node": 2,
+  "cooling": "air",
+  "division": "open",
+  "framework": "TensorRT",
+  "host_memory_capacity": "192G",
+  "host_memory_configuration": "undefined",
+  "host_network_card_count": "1",
+  "host_networking": "Gig Ethernet",
+  "host_networking_topology": "N/A",
+  "host_processor_caches": "L1d cache: 1.1 MiB, L1i cache: 768 KiB, L2 cache: 48 MiB, L3 cache: 45 MiB",
+  "host_processor_core_count": "24",
+  "host_processor_frequency": "4800.0000",
+  "host_processor_interconnect": "",
+  "host_processor_model_name": "Intel(R) Xeon(R) w7-2495X",
+  "host_processors_per_node": "1",
+  "host_storage_capacity": "7.0T",
+  "host_storage_type": "SSD",
+  "hw_notes": "",
+  "number_of_nodes": "1",
+  "operating_system": "Ubuntu 20.04 (linux-6.2.0-39-generic-glibc2.31)",
+  "other_software_stack": "Python: 3.8.10, GCC-9.4.0",
+  "status": "available",
+  "submitter": "MLCommons",
+  "sw_notes": "Automated by MLCommons CM v3.2.6. ",
+  "system_name": "5024e36582b4",
+  "system_type": "datacenter",
+  "system_type_detail": "edge server"
+}
\ No newline at end of file