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Results from Retinanet GH action on ubuntu-latest
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|-----------|------------|------------|--------------|-------------------|
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| retinanet | offline | 76.951 | 0.411 | - |
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| retinanet | offline | 76.951 | 0.41 | - |

open/MLCommons/measurements/gh_ubuntu-latest_x86-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=49a8d7d02249b0a3d0af57431a3fbeaae22ebf1e
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cm pull repo anandhu-eng@cm4mlops --checkout=b519cfd16178b834959e8188a984cd86db62e8a8
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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`: `0.410806`
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`Samples per second`: `0.409818`

open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/cm-version-info.json

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open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/os_info.json

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],
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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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}

open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/accuracy/accuracy.txt

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found 5 images
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found 0 images with no results
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ignored 0 dupes
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hash=50a6fadbb9fb4f2477f3d6dabbede4156330dbaa2efde400d16b7f431352e98b
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open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.1-default_config/retinanet/offline/accuracy/mlperf_log_accuracy.json

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