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‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/README.md

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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|-----------|------------|------------|--------------|-------------------|
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| retinanet | offline | 49.593 | 0.422 | - |
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| retinanet | offline | 49.593 | 0.421 | - |

‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/README.md

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## Host platform
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* OS version: Linux-6.11.0-1015-azure-x86_64-with-glibc2.39
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* OS version: Linux-6.11.0-1015-azure-x86_64-with-glibc2.34
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* CPU version: x86_64
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* Python version: 3.12.11 (main, Jun 4 2025, 04:14:08) [GCC 13.3.0]
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* Python version: 3.8.18 (default, Dec 12 2024, 19:15:30)
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[GCC 13.2.0]
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* MLC version: unknown
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## CM Run Command
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mlc rm cache -f
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mlc pull repo anandhu-eng@mlperf-automations --checkout=930ec64e28bb73a212b9fe4bb6101003c1f99205
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mlc pull repo anandhu-eng@mlperf-automations --checkout=218cfb696faa85ebe2b7cd3ecfd5382e93d8dcfe
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```
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`mAP`: `49.593`, Required accuracy for closed division `>= 37.1745`
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### Performance Results
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`Samples per second`: `0.421735`
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`Samples per second`: `0.421431`

‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/accuracy_console.out

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User Conf path: /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/6d60f4091e8b4e978e1dc652a1ed0ea2.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_fee14ec1
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_fee14ec1/annotations/openimages-mlperf.json
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User Conf path: /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/776b582b9d64472187e30e8d4ed93ee8.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_86a688a8
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_86a688a8/annotations/openimages-mlperf.json
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Scenario: Offline
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Mode: AccuracyOnly
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Batch size: 1

‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/cpu_info.json

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"MLC_HOST_CPU_L3_CACHE_SIZE": "32 MiB (1 instance)",
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"MLC_HOST_CPU_NUMA_NODES": "1",
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"MLC_HOST_CPU_START_CORES": "0",
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"MLC_HOST_CPU_TOTAL_LOGICAL_CORES": "4",
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"MLC_HOST_CPU_TOTAL_PHYSICAL_CORES": "2",
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"MLC_HOST_CPU_PHYSICAL_CORES_LIST": "0-1",

‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/mlc-deps.mmd

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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_cpu,_retinanet,_offline,_onnxruntime_) --> get,mlcommons,inference,src
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_cpu,_retinanet,_offline,_onnxruntime_) --> get,lib,onnxruntime,lang-cpp,_cpu
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_cpu,_retinanet,_offline,_onnxruntime_) --> get,dataset,preprocessed,openimages,_validation,_NCHW,_50
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> detect,os
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detect-cpu,586c8a43320142f7 --> detect,os
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> detect,cpu
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,python
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get-mlperf-inference-sut-configs,c2fbf72009e2445b --> get,cache,dir,_name.mlperf-inference-sut-configs
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,sut,configs
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,mlcommons,inference,src,_branch.master
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> generate,user-conf,mlperf,inference,_wg-inference
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,mlcommons,inference,src
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_cpu,_retinanet,_offline,_onnxruntime_) --> generate,user-conf,mlperf,inference,_wg-inference
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detect-cpu,586c8a43320142f7 --> detect,os
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compile-program,c05042ba005a4bfa --> detect,cpu
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compile-program,c05042ba005a4bfa --> get,compiler,gcc
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detect-cpu,586c8a43320142f7 --> detect,os
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get-compiler-flags,31be8b74a69742f8 --> detect,cpu
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compile-program,c05042ba005a4bfa --> get,compiler-flags
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> compile,cpp-program
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_cpu,_retinanet,_offline,_onnxruntime_) --> compile,cpp-program
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detect-cpu,586c8a43320142f7 --> detect,os
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benchmark-program,19f369ef47084895 --> detect,cpu
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benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> benchmark-mlperf
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_cpu,_retinanet,_offline,_onnxruntime_) --> benchmark-mlperf

‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/mlc-deps.png

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‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/mlc-version-info.json

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‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/os_info.json

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}

‎open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/performance_console.out

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User Conf path: /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/3e2d1b8958124240a7c855e3a3c8c6fd.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_fee14ec1
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_fee14ec1/annotations/openimages-mlperf.json
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User Conf path: /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/456edc4a02294ccabb05913f1425e153.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_86a688a8
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_86a688a8/annotations/openimages-mlperf.json
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Scenario: Offline
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Mode: PerformanceOnly
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Batch size: 1

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