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Results from R50 GH action on ubuntu-latest
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‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.21.0-default_config/README.md‎

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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|----------|------------|------------|--------------|-------------------|
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| resnet50 | offline | 76 | 21.163 | - |
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| resnet50 | offline | 76 | 19.886 | - |

‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.21.0-default_config/resnet50/offline/README.md‎

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@@ -16,7 +16,7 @@ pip install -U mlcflow
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mlc rm cache -f
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mlc pull repo mlcommons@mlperf-automations --checkout=7e160d24b814142f2f93aadc16fbaaf6d21f27e6
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mlc pull repo mlcommons@mlperf-automations --checkout=b80db0891b8bab7f89adfeb0a8d0d5cef9ab36e4
2020

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```
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`acc`: `76.0`, Required accuracy for closed division `>= 75.6954`
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### Performance Results
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`Samples per second`: `21.1625`
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`Samples per second`: `19.8864`

‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.21.0-default_config/resnet50/offline/accuracy/accuracy.txt‎

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accuracy=76.000%, good=380, total=500
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hash=c9ff9d154428c151720bf44a4104125d3f85a1b41b071bb0b39d9964ebb08a67
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hash=52fbcd4d3b1a5687e7e802fe066a2dea4a72923bcb5915c0132a36ca986b16df

‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.21.0-default_config/resnet50/offline/accuracy/mlperf_log_accuracy.json‎

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