diff --git a/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/README.md b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/README.md new file mode 100644 index 0000000..84d00c4 --- /dev/null +++ b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/README.md @@ -0,0 +1,3 @@ +| Model | Scenario | Accuracy | Throughput | Latency (in ms) | +|---------------------|------------|-----------------------|--------------|-------------------| +| stable-diffusion-xl | offline | (15.56956, 232.78986) | 1.139 | - | \ No newline at end of file diff --git a/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base.json b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base.json new file mode 100644 index 0000000..00b5fb8 --- /dev/null +++ b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/05c9134fd82d-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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/README.md b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/README.md new file mode 100644 index 0000000..6edddc7 --- /dev/null +++ b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/README.md @@ -0,0 +1,96 @@ +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=13c18a4af7ad92e2c902e85396159c60102e69e3 + +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_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=v4.0 \ + --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: 05c9134fd82d-nvidia-gpu-TensorRT-scc24-base + +Model Precision: int8 + +### Accuracy Results +`CLIP_SCORE`: `15.56956`, Required accuracy for closed division `>= 31.68632` and `<= 31.81332` +`FID_SCORE`: `232.78986`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008` + +### Performance Results +`Samples per second`: `1.13939` diff --git 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b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/mlperf.conf new file mode 100644 index 0000000..10f7ae7 --- /dev/null +++ b/open/MLCommons/measurements/05c9134fd82d-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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/os_info.json b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/os_info.json new file 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b/open/MLCommons/measurements/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/user.conf new file mode 100644 index 0000000..21df3f1 --- /dev/null +++ b/open/MLCommons/measurements/05c9134fd82d-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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/accuracy.txt b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/accuracy.txt new file mode 100644 index 0000000..08634f0 --- /dev/null +++ b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/accuracy.txt @@ -0,0 +1,2 @@ +Accuracy Results: {'FID_SCORE': 232.78986158959376, 'CLIP_SCORE': 15.569556221365929} +hash=2f23e260b4c032d6f19f68f29e28196d52fa2d79a3df9e6c78998b4bd1d68fdd diff --git a/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/images/captions.txt b/open/MLCommons/results/05c9134fd82d-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/05c9134fd82d-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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json new file mode 100644 index 0000000..9bf4ca0 --- /dev/null +++ b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json @@ -0,0 +1,7 @@ +[ +{ "seq_id" : 0, "qsl_idx" : 25, "data" : 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} +] diff --git a/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt new file mode 100644 index 0000000..6f5681b --- /dev/null +++ b/open/MLCommons/results/05c9134fd82d-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": 0.003417, "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": "2024-10-14T20:27:48.059060", "time_ms": 0.003417, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", 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{"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": 0.073631, "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": 38150.859824, "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": 38150.859824, "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": 38150.859824, "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": 38150.859824, "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": 38150.859824, "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": 38150.859824, "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": "10-15-2024 03:49:30.276", "time_ms": 38150.861588, "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": "10-15-2024 03:50:08.407", "time_ms": 38150.861588, "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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt b/open/MLCommons/results/05c9134fd82d-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/05c9134fd82d-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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json b/open/MLCommons/results/05c9134fd82d-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/05c9134fd82d-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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt new file mode 100644 index 0000000..1fda098 --- /dev/null +++ b/open/MLCommons/results/05c9134fd82d-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": 0.003678, "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": "2024-10-14T20:27:48.059060", "time_ms": 0.003678, "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": "2024-10-15T03:27:48.059066", "time_ms": 0.003678, "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": 0.003678, "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": 0.003678, "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": 0.003678, "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": 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"file": "test_settings_internal.cc", "line_no": 327, "pid": 9532, "tid": 9532}} +:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.045317, "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": 0.045317, "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": 0.045317, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.045563, "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": 0.047205, "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": 0.054824, "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": 0.077262, "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": 0.077262, "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": 0.077262, "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": 0.123121, "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": 8784.813509, "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": 8784.813509, "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": 8784.813509, "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": 8784.813509, "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": 8784.813509, "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": 8784.813509, "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": "10-15-2024 03:48:44.914", "time_ms": 8784.815384, "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": "10-15-2024 03:48:53.690", "time_ms": 8784.815384, "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": 8784.846133, "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": 8784.846133, "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": 8784.846133, "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": 8784.846133, "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": 8784.846133, "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": 8784.846133, "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": 1.13939, "time_ms": 8784.846133, "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": 2930846818, "time_ms": 8784.846133, "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": 8776627139, "time_ms": 8784.846133, "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": 5271371109, "time_ms": 8784.846133, "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": 5854930423, "time_ms": 8784.846133, "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": 8776627139, "time_ms": 8784.846133, "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": 8776627139, "time_ms": 8784.846133, "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": 8776627139, "time_ms": 8784.846133, "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": 8776627139, "time_ms": 8784.846133, "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": 8776627139, "time_ms": 8784.846133, "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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt new file mode 100644 index 0000000..6266daa --- /dev/null +++ b/open/MLCommons/results/05c9134fd82d-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: 1.13939 +Result is : VALID + Min duration satisfied : Yes + Min queries satisfied : Yes + Early stopping satisfied: Yes + +================================================ +Additional Stats +================================================ +Min latency (ns) : 2930846818 +Max latency (ns) : 8776627139 +Mean latency (ns) : 5271371109 +50.00 percentile latency (ns) : 5854930423 +90.00 percentile latency (ns) : 8776627139 +95.00 percentile latency (ns) : 8776627139 +97.00 percentile latency (ns) : 8776627139 +99.00 percentile latency (ns) : 8776627139 +99.90 percentile latency (ns) : 8776627139 + +================================================ +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/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base.json b/open/MLCommons/systems/05c9134fd82d-nvidia-gpu-TensorRT-scc24-base.json new file mode 100644 index 0000000..385fb1c --- /dev/null +++ b/open/MLCommons/systems/05c9134fd82d-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 v2.3.9. ", + "system_name": "05c9134fd82d", + "system_type": "datacenter", + "system_type_detail": "edge server" +} \ No newline at end of file