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Results from R50 GH action on ubuntu-latest
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|----------|------------|------------|--------------|-------------------|
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| resnet50 | offline | 76 | 23.433 | - |
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| resnet50 | offline | 76 | 21.386 | - |

open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/README.md

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* OS version: Linux-6.17.0-1018-azure-x86_64-with-glibc2.39
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* CPU version: x86_64
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* Python version: 3.12.13 (main, Jun 16 2026, 22:05:08) [GCC 13.3.0]
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* Python version: 3.13.14 (main, Jun 11 2026, 03:02:07) [GCC 13.3.0]
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* MLC version: unknown
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## MLC Run Command
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mlc rm cache -f
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mlc pull repo mlcommons@mlperf-automations --checkout=7fc4d28c77194ccc22f3854c28e650b3bb1b2b17
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mlc pull repo mlcommons@mlperf-automations --checkout=fa0a2e0938e37d191d679b21d698aa56cd15ec05
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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`: `23.4331`
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`Samples per second`: `21.3857`

open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/accuracy/mlperf_log_detail.txt

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open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/accuracy_console.out

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User Conf path: /home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/f401151d160b43f4b3783e1d2202834d.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_0cdf1831
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User Conf path: /home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/c36ddf95b7874ad1853c5170dcea15ba.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_8b6860be
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Dataset List filepath:
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Scenario: Offline
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Mode: AccuracyOnly

open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/cpu_info.json

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"MLC_HOST_CPU_FPU_SUPPORT": "yes",
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"MLC_HOST_CPU_FPU_EXCEPTION_SUPPORT": "yes",
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"MLC_HOST_CPU_BUGS": "sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso spectre_v2_user tsa",
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"MLC_HOST_CPU_TLB_SIZE": "2560 4K pages",
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"MLC_HOST_CPU_TLB_SIZE": "3584 4K pages",
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"MLC_HOST_CPU_CFLUSH_SIZE": "64",
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"MLC_HOST_CPU_ARCHITECTURE": "x86_64",
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"MLC_HOST_CPU_TOTAL_CORES": "4",
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"MLC_HOST_CPU_ON_LINE_CPUS_LIST": "0-3",
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"MLC_HOST_CPU_VENDOR_ID": "AuthenticAMD",
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"MLC_HOST_CPU_MODEL_NAME": "AMD EPYC 7763 64-Core Processor",
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"MLC_HOST_CPU_MODEL_NAME": "AMD EPYC 9V74 80-Core Processor",
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"MLC_HOST_CPU_FAMILY": "25",
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"MLC_HOST_CPU_THREADS_PER_CORE": "2",
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"MLC_HOST_CPU_PHYSICAL_CORES_PER_SOCKET": "2",
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"MLC_HOST_CPU_SOCKETS": "1",
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"MLC_HOST_CPU_L1D_CACHE_SIZE": "64 KiB (2 instances)",
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"MLC_HOST_CPU_L1I_CACHE_SIZE": "64 KiB (2 instances)",
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"MLC_HOST_CPU_L2_CACHE_SIZE": "1 MiB (2 instances)",
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"MLC_HOST_CPU_L2_CACHE_SIZE": "2 MiB (2 instances)",
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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",

open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/performance/run_1/mlperf_log_detail.txt

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open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/performance/run_1/mlperf_log_summary.txt

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SUT name : QueueSUT
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Scenario : Offline
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Mode : PerformanceOnly
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Samples per second: 23.4331
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Samples per second: 21.3857
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Result is : VALID
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Min duration satisfied : Yes
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Min queries satisfied : Yes
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================================================
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Additional Stats
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================================================
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Min latency (ns) : 1350937986
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Max latency (ns) : 21337316010
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Mean latency (ns) : 11324444659
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50.00 percentile latency (ns) : 10902135048
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90.00 percentile latency (ns) : 19972026163
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95.00 percentile latency (ns) : 21337316010
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97.00 percentile latency (ns) : 21337316010
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99.00 percentile latency (ns) : 21337316010
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99.90 percentile latency (ns) : 21337316010
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Min latency (ns) : 1472026733
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Max latency (ns) : 23380089928
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Mean latency (ns) : 12415110538
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50.00 percentile latency (ns) : 11960379831
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90.00 percentile latency (ns) : 22434847778
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95.00 percentile latency (ns) : 22434847778
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97.00 percentile latency (ns) : 23380089928
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99.00 percentile latency (ns) : 23380089928
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99.90 percentile latency (ns) : 23380089928
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================================================
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Test Parameters Used

open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/resnet50/offline/performance_console.out

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User Conf path: /home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/1ed9e3473cb04d94b0b7397611443aa1.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_0cdf1831
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User Conf path: /home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/c0ed1b6f4c4c4fc2858b081a38129ed6.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_8b6860be
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Dataset List filepath:
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Scenario: Offline
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Mode: PerformanceOnly

open/MLCommons/systems/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config.json

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"host_network_card_count": "1",
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"host_networking": "Gig Ethernet",
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"host_networking_topology": "N/A",
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"host_processor_caches": "L1d cache: 64 KiB (2 instances), L1i cache: 64 KiB (2 instances), L2 cache: 1 MiB (2 instances), L3 cache: 32 MiB (1 instance)",
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"host_processor_caches": "L1d cache: 64 KiB (2 instances), L1i cache: 64 KiB (2 instances), L2 cache: 2 MiB (2 instances), L3 cache: 32 MiB (1 instance)",
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"host_processor_core_count": "2",
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"host_processor_frequency": "undefined",
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"host_processor_interconnect": "",
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"host_processor_model_name": "AMD EPYC 7763 64-Core Processor",
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"host_processor_model_name": "AMD EPYC 9V74 80-Core Processor",
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"host_processors_per_node": "1",
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"host_storage_capacity": "158G",
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"host_storage_type": "SSD",
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"hw_notes": "",
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"number_of_nodes": "1",
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"operating_system": "Ubuntu 24.04 (linux-6.17.0-1018-azure-glibc2.39)",
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"other_software_stack": "Python: 3.12.13, LLVM-18.1.3",
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"other_software_stack": "Python: 3.13.14, LLVM-18.1.3",
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"status": "available",
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"submitter": "MLCommons",
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"sw_notes": "",

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