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.

HTML result view exported from: https://openbenchmarking.org/result/2302115-NE-OONXSAPPH22&rdt&grr.

OONX Sapphire RapidsProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl2 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 12.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0Python Details- Python 3.11.1Security Details- 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

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

Model: yolov4 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Parallel

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

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

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

CPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl1122334455Min: 28 / Avg: 47.63 / Max: 55Min: 32 / Avg: 48.36 / Max: 55

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl120240360480600Min: 122.34 / Avg: 577.11 / Max: 709.46Min: 104.64 / Avg: 571.11 / Max: 709.06

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringONNX Runtime 1.14ONNX Runtime 1.14 use_dnnl6001200180024003000Min: 1900 / Avg: 3026.38 / Max: 3666Min: 1900 / Avg: 3073.43 / Max: 3677

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1437.045.148.0ONNX Runtime 1.14 use_dnnl40.046.051.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14236.5561.9589.2ONNX Runtime 1.14 use_dnnl267.7561.7588.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor160320480640800

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190030703525ONNX Runtime 1.14 use_dnnl190030343508OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1437.046.348.0ONNX Runtime 1.14 use_dnnl40.047.950.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1428425670

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14239.7582.2599.4ONNX Runtime 1.14 use_dnnl257.9583.0603.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor160320480640800

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029823510ONNX Runtime 1.14 use_dnnl190029973509OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1440.046.949.0ONNX Runtime 1.14 use_dnnl40.048.151.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14278615633ONNX Runtime 1.14 use_dnnl272617637OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029083500ONNX Runtime 1.14 use_dnnl190029033501OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1440.048.851.0ONNX Runtime 1.14 use_dnnl40.049.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14289602623ONNX Runtime 1.14 use_dnnl283607628OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029083400ONNX Runtime 1.14 use_dnnl190029143501OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1438.050.753.0ONNX Runtime 1.14 use_dnnl40.048.951.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14290633659ONNX Runtime 1.14 use_dnnl289638660OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190028903666ONNX Runtime 1.14 use_dnnl190028893507OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1436.050.152.0ONNX Runtime 1.14 use_dnnl36.050.753.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14202616637ONNX Runtime 1.14 use_dnnl208617639OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029043506ONNX Runtime 1.14 use_dnnl190029053503OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1437.047.950.0ONNX Runtime 1.14 use_dnnl37.048.451.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14207623650ONNX Runtime 1.14 use_dnnl201625651OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029113514ONNX Runtime 1.14 use_dnnl190029293510OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1433.048.452.0ONNX Runtime 1.14 use_dnnl32.048.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14202622649ONNX Runtime 1.14 use_dnnl199621652OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14290029353514ONNX Runtime 1.14 use_dnnl190029323512OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1434.037.442.0ONNX Runtime 1.14 - No AMX34.037.540.0ONNX Runtime 1.14 use_dnnl34.038.142.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1224364860

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14202.4438.8455.7ONNX Runtime 1.14 - No AMX201.2439.1454.6ONNX Runtime 1.14 use_dnnl203.6438.6458.8OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor120240360480600

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190034943516ONNX Runtime 1.14 - No AMX190034753510ONNX Runtime 1.14 use_dnnl190034783511OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1435.048.150.0ONNX Runtime 1.14 - No AMX36.048.951.0ONNX Runtime 1.14 use_dnnl35.049.352.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14194.3434.5450.1ONNX Runtime 1.14 - No AMX193.3435.5452.2ONNX Runtime 1.14 use_dnnl104.6436.2453.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor120240360480600

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190034823515ONNX Runtime 1.14 - No AMX190034863524ONNX Runtime 1.14 use_dnnl190034943520OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1436.045.347.0ONNX Runtime 1.14 - No AMX36.045.148.0ONNX Runtime 1.14 use_dnnl37.045.849.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1428425670

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14202.7562.2591.1ONNX Runtime 1.14 - No AMX194.9560.2590.7ONNX Runtime 1.14 use_dnnl212.9563.2593.5OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor160320480640800

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190031793512ONNX Runtime 1.14 - No AMX190031813510ONNX Runtime 1.14 use_dnnl190031793515OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1432.047.650.0ONNX Runtime 1.14 - No AMX33.047.951.0ONNX Runtime 1.14 use_dnnl32.049.251.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14201.2561.6584.0ONNX Runtime 1.14 - No AMX195.6564.4586.3ONNX Runtime 1.14 use_dnnl199.2565.5588.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor160320480640800

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190034603512ONNX Runtime 1.14 - No AMX190034703512ONNX Runtime 1.14 use_dnnl190034663516OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1434.037.540.0ONNX Runtime 1.14 - No AMX35.040.945.0ONNX Runtime 1.14 use_dnnl35.039.145.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1224364860

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14191.9446.6462.1ONNX Runtime 1.14 - No AMX197.3445.5460.4ONNX Runtime 1.14 use_dnnl204.6446.4461.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor120240360480600

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190034953515ONNX Runtime 1.14 - No AMX190034783517ONNX Runtime 1.14 use_dnnl190034893514OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1437.053.055.0ONNX Runtime 1.14 - No AMX37.053.255.0ONNX Runtime 1.14 use_dnnl36.053.255.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14209.4437.4451.4ONNX Runtime 1.14 - No AMX198.6438.8453.5ONNX Runtime 1.14 use_dnnl198.9440.5454.7OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor120240360480600

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190034573530ONNX Runtime 1.14 - No AMX190034503516ONNX Runtime 1.14 use_dnnl190034573517OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1439.048.250.0ONNX Runtime 1.14 - No AMX39.048.550.0ONNX Runtime 1.14 use_dnnl38.048.551.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14195611638ONNX Runtime 1.14 - No AMX210611638ONNX Runtime 1.14 use_dnnl199613641OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029223551ONNX Runtime 1.14 - No AMX190029053508ONNX Runtime 1.14 use_dnnl190029163677OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature MonitorONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl1122334455Min: 36 / Avg: 51.5 / Max: 54Min: 36 / Avg: 50.98 / Max: 54Min: 36 / Avg: 51.5 / Max: 54

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption MonitorONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl120240360480600Min: 122.34 / Avg: 668.72 / Max: 709.46Min: 202.65 / Avg: 673.64 / Max: 706.82Min: 195.07 / Avg: 668.74 / Max: 709.06

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) MonitorONNX Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl6001200180024003000Min: 1900 / Avg: 2752.96 / Max: 3514Min: 1900 / Avg: 2751.37 / Max: 3515Min: 1900 / Avg: 2770.59 / Max: 3511

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1436.047.250.0ONNX Runtime 1.14 - No AMX37.047.750.0ONNX Runtime 1.14 use_dnnl36.047.550.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1428425670

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14198611637ONNX Runtime 1.14 - No AMX210612639ONNX Runtime 1.14 use_dnnl203612638OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029043509ONNX Runtime 1.14 - No AMX190029173506ONNX Runtime 1.14 use_dnnl190029213515OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxONNX Runtime 1.1428.046.250.0ONNX Runtime 1.14 - No AMX29.048.251.0ONNX Runtime 1.14 use_dnnl33.048.451.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxONNX Runtime 1.14203611638ONNX Runtime 1.14 - No AMX201614639ONNX Runtime 1.14 use_dnnl197613639OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxONNX Runtime 1.14190029193512ONNX Runtime 1.14 - No AMX190029053511ONNX Runtime 1.14 use_dnnl190029113514OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000


Phoronix Test Suite v10.8.4