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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ONNX Runtime 1.14

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0
Python Notes: Python 3.11.1
Security Notes: 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 1.14 - No AMX

ONNX Runtime 1.14 use_dnnl

Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 960GB INTEL SSDSC2KG96, Graphics: ASPEED, Monitor: VGA HDMI, Network: 4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-T

OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080

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: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - 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 Runtime 1.14ONNX Runtime 1.14 - No AMXONNX Runtime 1.14 use_dnnl11.537886.66839.36451106.79910.00997100.28713.03253329.874209.6624.76912179.8955.5574214.935466.970515.026766.5490190.0195.26053153.5966.5052733.966329.440627.214736.7433177.9255.61969162.4776.15564684.1461.46149589.1971.6951739.769025.144032.899430.404611.2662788.92869.47631105.53110.461895.60022.95924337.921209.7034.76804180.3915.5424015.168865.924314.995466.6888195.1495.13582158.3056.3110911.202089.39159.56208104.5829.93450101.01603.00654333.098211.4234.72937178.5295.6002115.185565.882214.997966.6855194.5225.15414150.8606.6230932.609230.676227.425936.4666175.6745.69175164.8996.06317695.7771.43703590.7951.6906740.007024.995631.778431.4694OpenBenchmarking.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.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.143691215SE +/- 0.11, N = 15SE +/- 0.13, N = 15SE +/- 0.02, N = 311.2011.2711.541. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1420406080100SE +/- 0.92, N = 15SE +/- 1.09, N = 15SE +/- 0.12, N = 389.3988.9386.671. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.146001200180024003000Min: 1900 / Avg: 2910.83 / Max: 3514Min: 1900 / Avg: 2905.29 / Max: 3511Min: 1900 / Avg: 2919.08 / Max: 3512
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.14110220330440550Min: 196.94 / Avg: 613.29 / Max: 638.63Min: 201.41 / Avg: 613.94 / Max: 639.3Min: 202.94 / Avg: 610.95 / Max: 637.61. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 57935 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 57997 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 58040 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141020304050Min: 33 / Avg: 48.39 / Max: 51Min: 29 / Avg: 48.24 / Max: 51Min: 28 / Avg: 46.25 / Max: 50

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.143691215SE +/- 0.05377, N = 3SE +/- 0.06211, N = 3SE +/- 0.08393, N = 39.562089.476319.364511. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1420406080100SE +/- 0.59, N = 3SE +/- 0.70, N = 3SE +/- 0.95, N = 3104.58105.53106.801. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029213515ONNX Runtime 1.14 - No AMX190029173506ONNX Runtime 1.14190029043509OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl203612638ONNX Runtime 1.14 - No AMX210612639ONNX Runtime 1.14198611637OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 57714 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 57714 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 57856 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl36.047.550.0ONNX Runtime 1.14 - No AMX37.047.750.0ONNX Runtime 1.1436.047.250.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1428425670

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.143691215SE +/- 0.15346, N = 15SE +/- 0.10214, N = 3SE +/- 0.15984, N = 159.9345010.4618010.009971. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1420406080100SE +/- 1.67, N = 15SE +/- 0.93, N = 3SE +/- 1.75, N = 15101.0295.60100.291. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.146001200180024003000Min: 1900 / Avg: 2770.59 / Max: 3511Min: 1900 / Avg: 2751.37 / Max: 3515Min: 1900 / Avg: 2752.96 / Max: 3514
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.14120240360480600Min: 195.07 / Avg: 668.74 / Max: 709.06Min: 202.65 / Avg: 673.64 / Max: 706.82Min: 122.34 / Avg: 668.72 / Max: 709.461. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 63040 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 63547 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 62949 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141122334455Min: 36 / Avg: 51.5 / Max: 54Min: 36 / Avg: 50.98 / Max: 54Min: 36 / Avg: 51.5 / Max: 54

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.140.68231.36462.04692.72923.4115SE +/- 0.03052, N = 15SE +/- 0.00278, N = 3SE +/- 0.04052, N = 33.006542.959243.032531. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1470140210280350SE +/- 3.47, N = 15SE +/- 0.32, N = 3SE +/- 4.47, N = 3333.10337.92329.871. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.146001200180024003000Min: 1900 / Avg: 2916.07 / Max: 3677Min: 1900 / Avg: 2905.18 / Max: 3508Min: 1900 / Avg: 2921.95 / Max: 3551
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.14110220330440550Min: 198.53 / Avg: 612.94 / Max: 641.31Min: 209.54 / Avg: 611.05 / Max: 638.4Min: 194.95 / Avg: 611.31 / Max: 637.91. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 58025 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 58050 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 58074 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141020304050Min: 38 / Avg: 48.5 / Max: 51Min: 39 / Avg: 48.53 / Max: 50Min: 39 / Avg: 48.15 / Max: 50

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1450100150200250SE +/- 0.60, N = 3SE +/- 0.42, N = 3SE +/- 0.73, N = 3211.42209.70209.661. (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: super-resolution-10 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141.07312.14623.21934.29245.3655SE +/- 0.01348, N = 3SE +/- 0.00962, N = 3SE +/- 0.01656, N = 34.729374.768044.769121. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190034573517ONNX Runtime 1.14 - No AMX190034503516ONNX Runtime 1.14190034573530OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl198.9440.5454.7ONNX Runtime 1.14 - No AMX198.6438.8453.5ONNX Runtime 1.14209.4437.4451.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1202403604806001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 41406 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 40957 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 40826 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl36.053.255.0ONNX Runtime 1.14 - No AMX37.053.255.0ONNX Runtime 1.1437.053.055.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.144080120160200SE +/- 0.94, N = 3SE +/- 1.01, N = 3SE +/- 0.28, N = 3178.53180.39179.901. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141.262.523.785.046.3SE +/- 0.02952, N = 3SE +/- 0.03108, N = 3SE +/- 0.00850, N = 35.600215.542405.557421. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190034893514ONNX Runtime 1.14 - No AMX190034783517ONNX Runtime 1.14190034953515OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl204.6446.4461.0ONNX Runtime 1.14 - No AMX197.3445.5460.4ONNX Runtime 1.14191.9446.6462.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1202403604806001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 41814 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 41732 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 42130 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl35.039.145.0ONNX Runtime 1.14 - No AMX35.040.945.0ONNX Runtime 1.1434.037.540.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1224364860

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1448121620SE +/- 0.12, N = 9SE +/- 0.04, N = 3SE +/- 0.17, N = 315.1915.1714.941. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141530456075SE +/- 0.49, N = 9SE +/- 0.16, N = 3SE +/- 0.75, N = 365.8865.9266.971. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190034663516ONNX Runtime 1.14 - No AMX190034703512ONNX Runtime 1.14190034603512OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl199.2565.5588.4ONNX Runtime 1.14 - No AMX195.6564.4586.3ONNX Runtime 1.14201.2561.6584.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1603204806408001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 53664 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 53616 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 53543 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl32.049.251.0ONNX Runtime 1.14 - No AMX33.047.951.0ONNX Runtime 1.1432.047.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1448121620SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 315.0015.0015.031. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141530456075SE +/- 0.65, N = 3SE +/- 0.38, N = 3SE +/- 0.34, N = 366.6966.6966.551. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190031793515ONNX Runtime 1.14 - No AMX190031813510ONNX Runtime 1.14190031793512OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl212.9563.2593.5ONNX Runtime 1.14 - No AMX194.9560.2590.7ONNX Runtime 1.14202.7562.2591.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1603204806408001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 53316 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 53409 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 53038 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl37.045.849.0ONNX Runtime 1.14 - No AMX36.045.148.0ONNX Runtime 1.1436.045.347.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1428425670

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.144080120160200SE +/- 3.35, N = 13SE +/- 3.06, N = 14SE +/- 0.21, N = 3194.52195.15190.021. (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: GPT-2 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141.18362.36723.55084.73445.918SE +/- 0.07549, N = 13SE +/- 0.06843, N = 14SE +/- 0.00587, N = 35.154145.135825.260531. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.146001200180024003000Min: 1900 / Avg: 3493.87 / Max: 3520Min: 1900 / Avg: 3486.47 / Max: 3524Min: 1900 / Avg: 3481.53 / Max: 3515
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.1480160240320400Min: 104.64 / Avg: 436.21 / Max: 453.4Min: 193.29 / Avg: 435.51 / Max: 452.19Min: 194.32 / Avg: 434.53 / Max: 450.051. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 41440 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 41374 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 41425 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature MonitorONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.141020304050Min: 35 / Avg: 49.32 / Max: 52Min: 36 / Avg: 48.93 / Max: 51Min: 35 / Avg: 48.1 / Max: 50

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.14306090120150SE +/- 1.24, N = 3SE +/- 1.03, N = 3SE +/- 1.30, N = 3150.86158.31153.601. (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 1.14 use_dnnlONNX Runtime 1.14 - No AMXONNX Runtime 1.14246810SE +/- 0.05441, N = 3SE +/- 0.04118, N = 3SE +/- 0.05508, N = 36.623096.311096.505271. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190034783511ONNX Runtime 1.14 - No AMX190034753510ONNX Runtime 1.14190034943516OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl203.6438.6458.8ONNX Runtime 1.14 - No AMX201.2439.1454.6ONNX Runtime 1.14202.4438.8455.7OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1202403604806001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 41816 Joules per run.2. ONNX Runtime 1.14 - No AMX: Approximate power consumption of 41858 Joules per run.3. ONNX Runtime 1.14: Approximate power consumption of 41835 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl34.038.142.0ONNX Runtime 1.14 - No AMX34.037.540.0ONNX Runtime 1.1434.037.442.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1224364860

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14816243240SE +/- 0.46, N = 3SE +/- 0.22, N = 332.6133.971. (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 1.14 use_dnnlONNX Runtime 1.14714212835SE +/- 0.44, N = 3SE +/- 0.19, N = 330.6829.441. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029323512ONNX Runtime 1.14290029353514OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl199621652ONNX Runtime 1.14202622649OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 58996 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 58901 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl32.048.952.0ONNX Runtime 1.1433.048.452.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14612182430SE +/- 0.26, N = 3SE +/- 0.06, N = 327.4327.211. (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: ArcFace ResNet-100 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14816243240SE +/- 0.35, N = 3SE +/- 0.08, N = 336.4736.741. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029293510ONNX Runtime 1.14190029113514OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl201625651ONNX Runtime 1.14207623650OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 58750 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 58605 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl37.048.451.0ONNX Runtime 1.1437.047.950.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.144080120160200SE +/- 0.56, N = 3SE +/- 0.57, N = 3175.67177.931. (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 1.14 use_dnnlONNX Runtime 1.141.28062.56123.84185.12246.403SE +/- 0.01821, N = 3SE +/- 0.01809, N = 35.691755.619691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029053503ONNX Runtime 1.14190029043506OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl208617639ONNX Runtime 1.14202616637OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 57960 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 57893 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl36.050.753.0ONNX Runtime 1.1436.050.152.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.144080120160200SE +/- 1.24, N = 3SE +/- 1.61, N = 5164.90162.481. (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 1.14 use_dnnlONNX Runtime 1.14246810SE +/- 0.04559, N = 3SE +/- 0.06169, N = 56.063176.155641. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190028893507ONNX Runtime 1.14190028903666OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl289638660ONNX Runtime 1.14290633659OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 59968 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 59206 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl40.048.951.0ONNX Runtime 1.1438.050.753.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14150300450600750SE +/- 9.80, N = 3SE +/- 9.35, N = 3695.78684.151. (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: CaffeNet 12-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.140.32880.65760.98641.31521.644SE +/- 0.02005, N = 3SE +/- 0.02000, N = 31.437031.461491. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029143501ONNX Runtime 1.14190029083400OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl283607628ONNX Runtime 1.14289602623OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 56671 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 56586 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl40.049.751.0ONNX Runtime 1.1440.048.851.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14130260390520650SE +/- 4.15, N = 3SE +/- 3.23, N = 3590.80589.201. (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 1.14 use_dnnlONNX Runtime 1.140.38140.76281.14421.52561.907SE +/- 0.01190, N = 3SE +/- 0.00918, N = 31.690671.695171. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029033501ONNX Runtime 1.14190029083500OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl272617637ONNX Runtime 1.14278615633OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor20040060080010001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 58193 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 58013 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl40.048.151.0ONNX Runtime 1.1440.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14918273645SE +/- 0.24, N = 3SE +/- 0.12, N = 340.0139.771. (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: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardONNX Runtime 1.14 use_dnnlONNX Runtime 1.14612182430SE +/- 0.15, N = 3SE +/- 0.08, N = 325.0025.141. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190029973509ONNX Runtime 1.14190029823510OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl257.9583.0603.0ONNX Runtime 1.14239.7582.2599.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1603204806408001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 54997 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 54534 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl40.047.950.0ONNX Runtime 1.1437.046.348.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1428425670

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelONNX Runtime 1.14 use_dnnlONNX Runtime 1.14816243240SE +/- 0.27, N = 3SE +/- 0.46, N = 331.7832.901. (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 1.14 use_dnnlONNX Runtime 1.14714212835SE +/- 0.26, N = 3SE +/- 0.42, N = 331.4730.401. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
MinAvgMaxONNX Runtime 1.14 use_dnnl190030343508ONNX Runtime 1.14190030703525OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.14CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxONNX Runtime 1.14 use_dnnl267.7561.7588.0ONNX Runtime 1.14236.5561.9589.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption Monitor1603204806408001. ONNX Runtime 1.14 use_dnnl: Approximate power consumption of 52613 Joules per run.2. ONNX Runtime 1.14: Approximate power consumption of 53003 Joules per run.
MinAvgMaxONNX Runtime 1.14 use_dnnl40.046.051.0ONNX Runtime 1.1437.045.148.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.14CPU Temperature Monitor1530456075

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringONNX Runtime 1.14 use_dnnlONNX Runtime 1.146001200180024003000Min: 1900 / Avg: 3073.43 / Max: 3677Min: 1900 / Avg: 3026.38 / Max: 3666

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringONNX Runtime 1.14 use_dnnlONNX Runtime 1.14120240360480600Min: 104.64 / Avg: 571.11 / Max: 709.06Min: 122.34 / Avg: 577.11 / Max: 709.46

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringONNX Runtime 1.14 use_dnnlONNX Runtime 1.141122334455Min: 32 / Avg: 48.36 / Max: 55Min: 28 / Avg: 47.63 / Max: 55

ONNX Runtime 1.14

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 11 February 2023 12:20 by user phoronix.

ONNX Runtime 1.14 - No AMX

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 11 February 2023 14:29 by user phoronix.

ONNX Runtime 1.14 use_dnnl

Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 960GB INTEL SSDSC2KG96, Graphics: ASPEED, Monitor: VGA HDMI, Network: 4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-T

OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 11 February 2023 17:03 by user phoronix.