OONX Sapphire Rapids

2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302115-NE-OONXSAPPH22
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ONNX Runtime 1.14
February 11 2023
  3 Hours, 26 Minutes
ONNX Runtime 1.14 - No AMX
February 11 2023
  2 Hours, 41 Minutes
ONNX Runtime 1.14 use_dnnl
February 11 2023
  5 Hours, 22 Minutes
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  3 Hours, 50 Minutes

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OONX Sapphire RapidsOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads)Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS)Intel Device 1bce1008GB2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 960GB INTEL SSDSC2KG96ASPEEDVGA HDMI4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-TUbuntu 23.045.19.0-21-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.6GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionOONX Sapphire Rapids PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0 - Python 3.11.1- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

ONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnlResult OverviewPhoronix Test Suite100%101%103%104%ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX Runtimefcn-resnet101-11 - CPU - StandardGPT-2 - CPU - Parallelyolov4 - CPU - Standardyolov4 - CPU - Standardfcn-resnet101-11 - CPU - StandardGPT-2 - CPU - Parallel

OONX Sapphire Rapidsonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl86.668311.5378100.287110.009975.26053190.019329.8743.0325366.970514.93546.15564162.4776.50527153.59666.549015.026729.440633.966336.743327.2147106.7999.3645125.144039.769030.404632.89941.69517589.1971.46149684.1465.61969177.9255.55742179.8954.76912209.66288.928611.2662795.600210.46185.13582195.149337.9212.9592465.924315.16886.31109158.30566.688814.9954105.5319.476315.54240180.3914.76804209.70389.391511.2020101.01609.934505.15414194.522333.0983.0065465.882215.18556.06317164.8996.62309150.86066.685514.997930.676232.609236.466627.4259104.5829.5620824.995640.007031.469431.77841.69067590.7951.43703695.7775.69175175.6745.60021178.5294.72937211.423OpenBenchmarking.org

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl20406080100SE +/- 0.12, N = 3SE +/- 1.09, N = 15SE +/- 0.92, N = 1586.6788.9389.391. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl20406080100Min: 86.54 / Avg: 86.67 / Max: 86.91Min: 85.7 / Avg: 88.93 / Max: 100.82Min: 86.35 / Avg: 89.39 / Max: 98.241. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215SE +/- 0.02, N = 3SE +/- 0.13, N = 15SE +/- 0.11, N = 1511.5411.2711.201. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215Min: 11.51 / Avg: 11.54 / Max: 11.56Min: 9.92 / Avg: 11.27 / Max: 11.67Min: 10.18 / Avg: 11.2 / Max: 11.581. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl20406080100SE +/- 1.75, N = 15SE +/- 0.93, N = 3SE +/- 1.67, N = 15100.2995.60101.021. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl20406080100Min: 95.63 / Avg: 100.29 / Max: 115.38Min: 93.88 / Avg: 95.6 / Max: 97.07Min: 94.77 / Avg: 101.02 / Max: 118.161. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215SE +/- 0.15984, N = 15SE +/- 0.10214, N = 3SE +/- 0.15346, N = 1510.0099710.461809.934501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215Min: 8.67 / Avg: 10.01 / Max: 10.46Min: 10.3 / Avg: 10.46 / Max: 10.65Min: 8.46 / Avg: 9.93 / Max: 10.551. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1.18362.36723.55084.73445.918SE +/- 0.00587, N = 3SE +/- 0.06843, N = 14SE +/- 0.07549, N = 135.260535.135825.154141. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl246810Min: 5.25 / Avg: 5.26 / Max: 5.27Min: 4.26 / Avg: 5.14 / Max: 5.26Min: 4.27 / Avg: 5.15 / Max: 5.281. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl4080120160200SE +/- 0.21, N = 3SE +/- 3.06, N = 14SE +/- 3.35, N = 13190.02195.15194.521. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl4080120160200Min: 189.73 / Avg: 190.02 / Max: 190.43Min: 190.1 / Avg: 195.15 / Max: 234.52Min: 189.2 / Avg: 194.52 / Max: 234.231. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl70140210280350SE +/- 4.47, N = 3SE +/- 0.32, N = 3SE +/- 3.47, N = 15329.87337.92333.101. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl60120180240300Min: 324.93 / Avg: 329.87 / Max: 338.79Min: 337.39 / Avg: 337.92 / Max: 338.48Min: 317.37 / Avg: 333.1 / Max: 361.621. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl0.68231.36462.04692.72923.4115SE +/- 0.04052, N = 3SE +/- 0.00278, N = 3SE +/- 0.03052, N = 153.032532.959243.006541. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl246810Min: 2.95 / Avg: 3.03 / Max: 3.08Min: 2.95 / Avg: 2.96 / Max: 2.96Min: 2.77 / Avg: 3.01 / Max: 3.151. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1530456075SE +/- 0.75, N = 3SE +/- 0.16, N = 3SE +/- 0.49, N = 966.9765.9265.881. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1326395265Min: 65.79 / Avg: 66.97 / Max: 68.37Min: 65.72 / Avg: 65.92 / Max: 66.24Min: 62.06 / Avg: 65.88 / Max: 66.791. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl48121620SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 914.9415.1715.191. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl48121620Min: 14.63 / Avg: 14.94 / Max: 15.2Min: 15.1 / Avg: 15.17 / Max: 15.22Min: 14.97 / Avg: 15.19 / Max: 16.111. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl246810SE +/- 0.06169, N = 5SE +/- 0.04559, N = 36.155646.063171. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl246810Min: 6 / Avg: 6.16 / Max: 6.37Min: 5.99 / Avg: 6.06 / Max: 6.151. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl4080120160200SE +/- 1.61, N = 5SE +/- 1.24, N = 3162.48164.901. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl306090120150Min: 156.89 / Avg: 162.48 / Max: 166.69Min: 162.57 / Avg: 164.9 / Max: 166.771. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl246810SE +/- 0.05508, N = 3SE +/- 0.04118, N = 3SE +/- 0.05441, N = 36.505276.311096.623091. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215Min: 6.41 / Avg: 6.51 / Max: 6.6Min: 6.24 / Avg: 6.31 / Max: 6.38Min: 6.52 / Avg: 6.62 / Max: 6.711. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl306090120150SE +/- 1.30, N = 3SE +/- 1.03, N = 3SE +/- 1.24, N = 3153.60158.31150.861. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl306090120150Min: 151.26 / Avg: 153.6 / Max: 155.75Min: 156.58 / Avg: 158.31 / Max: 160.15Min: 148.98 / Avg: 150.86 / Max: 153.211. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1530456075SE +/- 0.34, N = 3SE +/- 0.38, N = 3SE +/- 0.65, N = 366.5566.6966.691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1326395265Min: 65.98 / Avg: 66.55 / Max: 67.14Min: 66.01 / Avg: 66.69 / Max: 67.34Min: 65.94 / Avg: 66.69 / Max: 67.981. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl48121620SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 315.0315.0015.001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl48121620Min: 14.89 / Avg: 15.03 / Max: 15.15Min: 14.85 / Avg: 15 / Max: 15.15Min: 14.71 / Avg: 15 / Max: 15.161. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl714212835SE +/- 0.19, N = 3SE +/- 0.44, N = 329.4430.681. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl714212835Min: 29.13 / Avg: 29.44 / Max: 29.78Min: 30.2 / Avg: 30.68 / Max: 31.551. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl816243240SE +/- 0.22, N = 3SE +/- 0.46, N = 333.9732.611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl714212835Min: 33.57 / Avg: 33.97 / Max: 34.32Min: 31.69 / Avg: 32.61 / Max: 33.111. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl816243240SE +/- 0.08, N = 3SE +/- 0.35, N = 336.7436.471. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl816243240Min: 36.63 / Avg: 36.74 / Max: 36.9Min: 36 / Avg: 36.47 / Max: 37.151. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl612182430SE +/- 0.06, N = 3SE +/- 0.26, N = 327.2127.431. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl612182430Min: 27.1 / Avg: 27.21 / Max: 27.3Min: 26.91 / Avg: 27.43 / Max: 27.781. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl20406080100SE +/- 0.95, N = 3SE +/- 0.70, N = 3SE +/- 0.59, N = 3106.80105.53104.581. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl20406080100Min: 104.91 / Avg: 106.8 / Max: 107.93Min: 104.7 / Avg: 105.53 / Max: 106.92Min: 103.54 / Avg: 104.58 / Max: 105.581. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215SE +/- 0.08393, N = 3SE +/- 0.06211, N = 3SE +/- 0.05377, N = 39.364519.476319.562081. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl3691215Min: 9.27 / Avg: 9.36 / Max: 9.53Min: 9.35 / Avg: 9.48 / Max: 9.55Min: 9.47 / Avg: 9.56 / Max: 9.661. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl612182430SE +/- 0.08, N = 3SE +/- 0.15, N = 325.1425.001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl612182430Min: 25.04 / Avg: 25.14 / Max: 25.3Min: 24.8 / Avg: 25 / Max: 25.31. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl918273645SE +/- 0.12, N = 3SE +/- 0.24, N = 339.7740.011. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl816243240Min: 39.53 / Avg: 39.77 / Max: 39.94Min: 39.52 / Avg: 40.01 / Max: 40.311. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl714212835SE +/- 0.42, N = 3SE +/- 0.26, N = 330.4031.471. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl714212835Min: 29.58 / Avg: 30.4 / Max: 30.95Min: 30.96 / Avg: 31.47 / Max: 31.811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl816243240SE +/- 0.46, N = 3SE +/- 0.27, N = 332.9031.781. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl714212835Min: 32.31 / Avg: 32.9 / Max: 33.8Min: 31.44 / Avg: 31.78 / Max: 32.31. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl0.38140.76281.14421.52561.907SE +/- 0.00918, N = 3SE +/- 0.01190, N = 31.695171.690671. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl246810Min: 1.68 / Avg: 1.7 / Max: 1.71Min: 1.67 / Avg: 1.69 / Max: 1.711. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl130260390520650SE +/- 3.23, N = 3SE +/- 4.15, N = 3589.20590.801. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl100200300400500Min: 584.53 / Avg: 589.2 / Max: 595.39Min: 583.38 / Avg: 590.8 / Max: 597.741. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl0.32880.65760.98641.31521.644SE +/- 0.02000, N = 3SE +/- 0.02005, N = 31.461491.437031. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl246810Min: 1.43 / Avg: 1.46 / Max: 1.5Min: 1.4 / Avg: 1.44 / Max: 1.471. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl150300450600750SE +/- 9.35, N = 3SE +/- 9.80, N = 3684.15695.781. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl120240360480600Min: 667.75 / Avg: 684.15 / Max: 700.13Min: 681.95 / Avg: 695.78 / Max: 714.731. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl1.28062.56123.84185.12246.403SE +/- 0.01809, N = 3SE +/- 0.01821, N = 35.619695.691751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl246810Min: 5.59 / Avg: 5.62 / Max: 5.65Min: 5.66 / Avg: 5.69 / Max: 5.721. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl4080120160200SE +/- 0.57, N = 3SE +/- 0.56, N = 3177.93175.671. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl306090120150Min: 176.94 / Avg: 177.93 / Max: 178.92Min: 174.96 / Avg: 175.67 / Max: 176.781. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1.262.523.785.046.3SE +/- 0.00850, N = 3SE +/- 0.03108, N = 3SE +/- 0.02952, N = 35.557425.542405.600211. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl246810Min: 5.54 / Avg: 5.56 / Max: 5.57Min: 5.49 / Avg: 5.54 / Max: 5.6Min: 5.55 / Avg: 5.6 / Max: 5.651. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl4080120160200SE +/- 0.28, N = 3SE +/- 1.01, N = 3SE +/- 0.94, N = 3179.90180.39178.531. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl306090120150Min: 179.59 / Avg: 179.9 / Max: 180.44Min: 178.67 / Avg: 180.39 / Max: 182.17Min: 176.81 / Avg: 178.53 / Max: 180.061. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1.07312.14623.21934.29245.3655SE +/- 0.01656, N = 3SE +/- 0.00962, N = 3SE +/- 0.01348, N = 34.769124.768044.729371. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl246810Min: 4.74 / Avg: 4.77 / Max: 4.79Min: 4.75 / Avg: 4.77 / Max: 4.79Min: 4.71 / Avg: 4.73 / Max: 4.761. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl50100150200250SE +/- 0.73, N = 3SE +/- 0.42, N = 3SE +/- 0.60, N = 3209.66209.70211.421. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt