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Results from Retinanet GH action on windows-latest
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|-----------|------------|------------|--------------|-------------------|
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| retinanet | offline | 76.951 | 0.314 | - |
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| retinanet | offline | 76.951 | 0.322 | - |

open/MLCommons/measurements/gh_windows-latest-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/README.md

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cm rm cache -f
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cm pull repo anandhu-eng@cm4mlops --checkout=b351b11b5f04f0f2898c63f6543c250ed2089d0b
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cm pull repo anandhu-eng@cm4mlops --checkout=9ebb6b2c63c621dc229c047750a3c8be872e2ad0
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cm run script ^
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--tags=run,mlperf,inference,generate-run-cmds,_submission,_short ^
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`mAP`: `76.951`, Required accuracy for closed division `>= 37.1745`
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### Performance Results
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`Samples per second`: `0.314424`
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`Samples per second`: `0.321837`

open/MLCommons/measurements/gh_windows-latest-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/cm-version-info.json

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open/MLCommons/measurements/gh_windows-latest-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/os_info.json

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"CM_HOST_OS_PACKAGE_MANAGER_INSTALL_CMD": "choco install -y",
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open/MLCommons/model_mapping.json

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{
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"resnet50": "resnet50"
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"retinanet": "retinanet"
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}

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