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‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.26.0-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 | 21.082 | - |
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| resnet50 | offline | 76 | 21.344 | - |

‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.26.0-default_config/resnet50/offline/README.md‎

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mlc rm cache -f
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mlc pull repo YasirKhokhar@mlperf-automations --checkout=5a4591957c32a0b91b6d730a45b1737cae4a64d2
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mlc pull repo amd@mlperf-automations --checkout=7d8917cc51f2de09e9fc4309cd4dac153bb6cb90
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```
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*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf,
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you should simply reload YasirKhokhar@mlperf-automations without checkout and clean MLC cache as follows:*
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you should simply reload amd@mlperf-automations without checkout and clean MLC cache as follows:*
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```bash
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mlc rm repo YasirKhokhar@mlperf-automations
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mlc pull repo YasirKhokhar@mlperf-automations
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mlc rm repo amd@mlperf-automations
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mlc pull repo amd@mlperf-automations
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mlc rm cache -f
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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`: `21.0825`
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`Samples per second`: `21.3444`

‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.26.0-default_config/resnet50/offline/accuracy/accuracy.txt‎

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accuracy=76.000%, good=380, total=500
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hash=5ce51b5928e22c2fec06f847df07aa8edc29b9fe19fdd2702a0d1da21d20a680
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hash=009d31e7d837da4170e4d4e05ad99262ae258b260b7ae060f43297c9d59e9557

‎open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.26.0-default_config/resnet50/offline/accuracy/mlperf_log_accuracy.json‎

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