onnx new

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Pop 22.04 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 2402035-NE-ONNXNEW6040
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February 03
  41 Minutes
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February 03
  2 Hours, 9 Minutes
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February 03
  2 Hours, 40 Minutes
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February 03
  2 Hours, 16 Minutes
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onnx newOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS)AMD Starship/Matisse4 x 32GB DDR4-3000MT/s CMK64GX4M2D3000C16Samsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Pop 22.046.6.6-76060606-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.44.6 Mesa 23.3.2-1pop0~1704238321~22.04~36f1d0e (LLVM 15.0.7 DRM 3.54)1.3.267GCC 11.4.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionOnnx New BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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-build-config=bootstrap-lto-lean --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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%109%119%128%138%ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeT5 Encoder - CPU - StandardT5 Encoder - CPU - ParallelGPT-2 - CPU - ParallelGPT-2 - CPU - StandardCaffeNet 12-int8 - CPU - Standardyolov4 - CPU - ParallelF.R.C.R.5.F.i - CPU - StandardArcFace ResNet-100 - CPU - Parallelbertsquad-12 - CPU - Parallelyolov4 - CPU - Standardfcn-resnet101-11 - CPU - StandardF.R.C.R.5.F.i - CPU - Parallelbertsquad-12 - CPU - StandardCaffeNet 12-int8 - CPU - ParallelR.v.1.i - CPU - StandardR.v.1.i - CPU - Parallelfcn-resnet101-11 - CPU - Parallelsuper-resolution-10 - CPU - StandardArcFace ResNet-100 - CPU - Standardsuper-resolution-10 - CPU - ParallelF.R.C.R.5.F.i - CPU - StandardF.R.C.R.5.F.i - CPU - Parallelsuper-resolution-10 - CPU - Standardsuper-resolution-10 - CPU - ParallelR.v.1.i - CPU - StandardR.v.1.i - CPU - ParallelArcFace ResNet-100 - CPU - StandardArcFace ResNet-100 - CPU - Parallelfcn-resnet101-11 - CPU - Standardfcn-resnet101-11 - CPU - ParallelCaffeNet 12-int8 - CPU - StandardCaffeNet 12-int8 - CPU - Parallelbertsquad-12 - CPU - Standardbertsquad-12 - CPU - ParallelT5 Encoder - CPU - StandardT5 Encoder - CPU - Parallelyolov4 - CPU - Standardyolov4 - CPU - ParallelGPT-2 - CPU - StandardGPT-2 - CPU - Parallel

onnx newonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelabcd101.553158.943106.62684.988262.0653.4180524.7967.47454.566345.988992.9813521.38528.69295199.462119.15248.22630.78944589.593115.547984.325440.324146.755911.159911.85598.3885520.729164.313133.782335.4131266.73.812355.0096115.028218.9889.843826.2888166.968292.55511.75899.3687886.5898132.11491.038374.7827231.6543.3041925.57287.318594.425565.870052.9171821.01248.63703195.479118.03747.71980.79815088.736415.441584.268639.097947.586011.269211.86418.4692820.951564.7543136.658342.7981253.224.314445.11408115.771225.95611.54487.56668170.353302.64513.365410.973976.0924119.84781.497065.1860223.9933.3026725.86777.211434.395225.829042.9158120.86848.58440197.531117.04847.59110.78871389.002915.412883.796138.655247.914711.234111.93108.5404721.007564.8772138.664342.9531267.894.460685.06250116.484227.63613.13898.34118171.549302.82415.335812.260273.8745115.97179.628463.7474226.2803.2538625.44267.167654.408925.811212.9036420.85348.48632198.965117.50448.12040.79527988.927315.426384.051339.320847.950211.243711.89468.5074720.776564.8208139.512344.3901257.914.415935.02241117.851226.82013.53368.62179172.083307.33915.678312.5484OpenBenchmarking.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 1.17Model: T5 Encoder - Device: CPU - Executor: Standardabcd20406080100SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.39, N = 3101.5586.5976.0973.871. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: Parallelabcd4080120160200SE +/- 0.84, N = 3SE +/- 0.08, N = 3SE +/- 1.26, N = 3158.94132.11119.85115.971. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: Parallelabcd20406080100SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3106.6391.0481.5079.631. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: Standardabcd20406080100SE +/- 0.62, N = 3SE +/- 0.72, N = 3SE +/- 0.21, N = 384.9974.7865.1963.751. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: Standardabcd60120180240300SE +/- 2.43, N = 4SE +/- 0.47, N = 3SE +/- 0.82, N = 3262.07231.65223.99226.281. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: Parallelabcd0.76911.53822.30733.07643.8455SE +/- 0.01341, N = 3SE +/- 0.02977, N = 3SE +/- 0.01952, N = 33.418053.304193.302673.253861. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standardabcd612182430SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 924.8025.5725.8725.441. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallelabcd246810SE +/- 0.07142, N = 3SE +/- 0.01975, N = 3SE +/- 0.02570, N = 37.474507.318597.211437.167651. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: Parallelabcd1.02742.05483.08224.10965.137SE +/- 0.01003, N = 3SE +/- 0.03613, N = 9SE +/- 0.02513, N = 34.566344.425564.395224.408921. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: Standardabcd1.34752.6954.04255.396.7375SE +/- 0.01409, N = 3SE +/- 0.00419, N = 3SE +/- 0.02691, N = 35.988995.870055.829045.811211. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: Standardabcd0.67081.34162.01242.68323.354SE +/- 0.00899, N = 3SE +/- 0.00183, N = 3SE +/- 0.00422, N = 32.981352.917182.915812.903641. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallelabcd510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 321.3921.0120.8720.851. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: Standardabcd246810SE +/- 0.01301, N = 3SE +/- 0.01460, N = 3SE +/- 0.07957, N = 38.692958.637038.584408.486321. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallelabcd4080120160200SE +/- 2.06, N = 5SE +/- 1.45, N = 15SE +/- 0.56, N = 3199.46195.48197.53198.971. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standardabcd306090120150SE +/- 0.78, N = 3SE +/- 0.34, N = 3SE +/- 0.50, N = 3119.15118.04117.05117.501. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallelabcd1122334455SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 0.10, N = 348.2347.7247.5948.121. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: Parallelabcd0.17960.35920.53880.71840.898SE +/- 0.009251, N = 3SE +/- 0.001362, N = 3SE +/- 0.011220, N = 30.7894450.7981500.7887130.7952791. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: Standardabcd20406080100SE +/- 0.77, N = 3SE +/- 0.28, N = 3SE +/- 0.31, N = 389.5988.7489.0088.931. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: Standardabcd48121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 315.5515.4415.4115.431. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: Parallelabcd20406080100SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 384.3384.2783.8084.051. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt