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Results from self hosted Github actions - NVIDIARTX4090
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arjunsuresh committed Oct 7, 2024
1 parent 4d509a5 commit 3584fa9
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
|---------------------|------------|-----------------------|--------------|-------------------|
| stable-diffusion-xl | offline | (15.61716, 233.28574) | 1.135 | - |
| stable-diffusion-xl | offline | (15.61716, 233.28574) | 1.14 | - |
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Expand Up @@ -19,7 +19,7 @@ pip install -U cmind

cm rm cache -f

cm pull repo gateoverflow@cm4mlops --checkout=eac7598c2b35fb8e28ab00345d5d3c5cbdb8bb43
cm pull repo gateoverflow@cm4mlops --checkout=d8921eddd1cae7010f5997c7bbffd899b1b2c571

cm run script \
--tags=app,mlperf,inference,generic,_nvidia,_sdxl,_tensorrt,_test,_r4.1-dev_default,_float16,_offline \
Expand Down Expand Up @@ -93,4 +93,4 @@ Model Precision: int8
`FID_SCORE`: `233.28574`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008`

### Performance Results
`Samples per second`: `1.13521`
`Samples per second`: `1.13976`
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Accuracy Results: {'FID_SCORE': 233.28573789198563, 'CLIP_SCORE': 15.617164582014084}
hash=953202706713ef563f617835ae760b4dfd306a97ae2c69e96d2ab92de82354c3
Accuracy Results: {'FID_SCORE': 233.28573786792805, 'CLIP_SCORE': 15.617164582014084}
hash=55d0023c72535f49f4d1104777be924cc94a0a1678b4bbe295207b95a30f5688
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[
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