ssss

Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 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 2408222-PTS-SSSS158023
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a
August 21
  4 Hours, 41 Minutes
b
August 21
  1 Hour, 18 Minutes
c
August 21
  1 Hour, 18 Minutes
d
August 22
  1 Hour, 18 Minutes
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August 22
  1 Hour, 19 Minutes
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ssssOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (1662 BIOS)Intel Raptor Lake-S PCH2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36Western Digital WD_BLACK SN850X 2000GBXFX AMD Radeon RX 7900 XTX 24GBRealtek ALC897ASUS VP28UUbuntu 24.046.10.0-061000rc6daily20240706-generic (x86_64)GNOME Shell 46.0X Server 1.21.1.11 + Wayland4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionSsss 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-backtrace --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-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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 powersave (EPP: balance_performance) - CPU Microcode: 0x129 - Thermald 2.5.6- Python 3.12.3- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: 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 / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected

abcdeResult OverviewPhoronix Test Suite100%104%109%113%ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeSVT-AV1SVT-AV1ONNX RuntimeONNX RuntimeSVT-AV1SVT-AV1SVT-AV1SVT-AV1ONNX RuntimeONNX RuntimeSVT-AV1SVT-AV1ONNX RuntimeONNX RuntimeSVT-AV1ONNX RuntimeSVT-AV1SVT-AV1ONNX RuntimeONNX RuntimeSVT-AV1ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX Runtimeyolov4 - CPU - Parallelbertsquad-12 - CPU - ParallelGPT-2 - CPU - ParallelArcFace ResNet-100 - CPU - ParallelT5 Encoder - CPU - ParallelResNet101_DUC_HDC-12 - CPU - ParallelR.v.1.i - CPU - Parallelfcn-resnet101-11 - CPU - ParallelF.R.C.R.5.F.i - CPU - Parallelyolov4 - CPU - Standardsuper-resolution-10 - CPU - ParallelF.R.C.R.5.F.i - CPU - StandardPreset 8 - Beauty 4K 10-bitPreset 8 - Bosphorus 4Kbertsquad-12 - CPU - StandardCaffeNet 12-int8 - CPU - ParallelPreset 5 - Beauty 4K 10-bitPreset 5 - Bosphorus 1080pPreset 13 - Bosphorus 1080pPreset 8 - Bosphorus 1080pR.v.1.i - CPU - StandardCaffeNet 12-int8 - CPU - StandardPreset 5 - Bosphorus 4KPreset 3 - Beauty 4K 10-bitsuper-resolution-10 - CPU - StandardResNet101_DUC_HDC-12 - CPU - StandardPreset 3 - Bosphorus 1080pfcn-resnet101-11 - CPU - StandardPreset 13 - Bosphorus 4KPreset 3 - Bosphorus 4KT5 Encoder - CPU - StandardGPT-2 - CPU - StandardPreset 13 - Beauty 4K 10-bitArcFace ResNet-100 - CPU - StandardArcFace ResNet-100 - CPU - ParallelT5 Encoder - CPU - ParallelResNet101_DUC_HDC-12 - CPU - Parallelyolov4 - CPU - ParallelR.v.1.i - CPU - ParallelResNet101_DUC_HDC-12 - CPU - Standardfcn-resnet101-11 - CPU - ParallelGPT-2 - CPU - Parallelfcn-resnet101-11 - CPU - StandardGPT-2 - CPU - Standardbertsquad-12 - CPU - ParallelArcFace ResNet-100 - CPU - Standardbertsquad-12 - CPU - StandardT5 Encoder - CPU - Standardyolov4 - CPU - StandardF.R.C.R.5.F.i - CPU - StandardF.R.C.R.5.F.i - CPU - ParallelCaffeNet 12-int8 - CPU - ParallelCaffeNet 12-int8 - CPU - StandardR.v.1.i - CPU - Standardsuper-resolution-10 - CPU - Parallelsuper-resolution-10 - CPU - Standard

sssssvt-av1: Preset 3 - Beauty 4K 10-bitsvt-av1: Preset 3 - Bosphorus 4Ksvt-av1: Preset 5 - Beauty 4K 10-bitonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelsvt-av1: Preset 3 - Bosphorus 1080psvt-av1: Preset 8 - Beauty 4K 10-bitonnx: T5 Encoder - CPU - Parallelonnx: T5 Encoder - CPU - Parallelsvt-av1: Preset 5 - Bosphorus 4Konnx: ResNet101_DUC_HDC-12 - CPU - Parallelonnx: ResNet101_DUC_HDC-12 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelsvt-av1: Preset 13 - Beauty 4K 10-bitonnx: ResNet101_DUC_HDC-12 - CPU - Standardonnx: ResNet101_DUC_HDC-12 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Standardonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: 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 - Standardsvt-av1: Preset 5 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 1080ponnx: ZFNet-512 - CPU - Standardabcde1.3307.4515.937104.50149.6317523.6908.3596.90233144.92427.269993.3271.00715571.366514.01745.15165194.15217.995894.3281.11819492.3832.031578.44437118.382356.4772.805245.66499176.39857.628817.3545105.3509.4920645.965821.75744.78134209.09358.015317.237716.794259.541121.441946.63573.19209313.1911.02774972.3973.17050315.35210.396896.188011.494686.997682.46058.880187.970227.364688.0641.3247.4785.88110.4289.0555423.7418.5017.06699141.47127.5921021.660.97879566.976614.93014.9909200.32918.022889.8751.12367502.7531.989047.96304125.514355.7472.810975.65885176.60956.466117.7094105.519.4776545.67521.8934.78224209.04856.685817.640616.659360.019922.091745.26223.22287310.1721.03469965.8373.18971313.46610.459195.604411.545886.608283.75459.44188.994228.324693.2311.3357.4425.919108.7279.1972123.8098.4857.33799136.2527.388960.2021.0414563.29615.79814.97989200.77118.015886.3251.12825495.0952.01988.70901114.763357.8642.794355.65828176.60961.119816.361105.3049.496245.423922.01424.78108209.11258.357917.135217.061858.605321.403646.71773.19755312.6191.02726972.9113.16663315.73910.543694.839911.490487.025882.45459.241190.825227.363696.7381.337.4745.991112.6218.8792423.7028.5146.8187146.62727.5841000.530.99946666.310315.085.08514196.61217.982888.3891.12563494.7382.021268.28234120.672355.912.809685.67701176.04157.278517.458105.3669.4906545.292522.07794.76332209.8957.448617.406416.900559.165121.936145.58343.18653313.6961.0355965.1163.15625316.77410.589694.428211.461987.242783.75460.083187.625226.982697.1581.327.4465.906103.6639.6465223.6398.5687.20087138.8427.3071033.240.9678374.097313.49555.18875192.68618.03889.341.12443482.9612.070558.23308121.398357.3632.798265.66489176.42455.076118.156105.3019.4964746.2521.62074.7765209.30657.523517.383816.60960.202521.688246.10473.24962307.6191.04055960.3413.19967312.48610.688593.554611.437587.428882.21858.834190.467227.699700.094OpenBenchmarking.org

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Beauty 4K 10-bitebadc0.30040.60080.90121.20161.502SE +/- 0.004, N = 31.3201.3241.3301.3301.3351. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 4Kceadb246810SE +/- 0.014, N = 37.4427.4467.4517.4747.4781. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Beauty 4K 10-bitbecad1.3482.6964.0445.3926.74SE +/- 0.023, N = 35.8805.9065.9195.9375.9911. (CXX) g++ options: -march=native -mno-avx

ONNX Runtime

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: ArcFace ResNet-100 - Device: CPU - Executor: Paralleldbcae306090120150SE +/- 2.15, N = 15112.62110.43108.73104.50103.661. (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 1.19Model: ArcFace ResNet-100 - Device: CPU - Executor: Paralleldbcae3691215SE +/- 0.21792, N = 158.879249.055549.197219.631759.646521. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 1080peadbc612182430SE +/- 0.04, N = 323.6423.6923.7023.7423.811. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Beauty 4K 10-bitacbde246810SE +/- 0.048, N = 38.3598.4858.5018.5148.5681. (CXX) g++ options: -march=native -mno-avx

ONNX Runtime

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: T5 Encoder - Device: CPU - Executor: Parallelcebad246810SE +/- 0.05998, N = 87.337997.200877.066996.902336.818701. (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 1.19Model: T5 Encoder - Device: CPU - Executor: Parallelcebad306090120150SE +/- 1.25, N = 8136.25138.84141.47144.92146.631. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 4Kaecdb612182430SE +/- 0.03, N = 327.2727.3127.3927.5827.591. (CXX) g++ options: -march=native -mno-avx

ONNX Runtime

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallelebdac2004006008001000SE +/- 10.36, N = 51033.241021.661000.53993.33960.201. (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 1.19Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallelebdac0.23430.46860.70290.93721.1715SE +/- 0.010507, N = 50.9678300.9787950.9994661.0071551.0414501. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: yolov4 - Device: CPU - Executor: Paralleleabdc1632486480SE +/- 0.73, N = 574.1071.3766.9866.3163.301. (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 1.19Model: yolov4 - Device: CPU - Executor: Paralleleabdc48121620SE +/- 0.14, N = 513.5014.0214.9315.0815.801. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Paralleleadbc1.16752.3353.50254.675.8375SE +/- 0.05176, N = 55.188755.151655.085144.990904.979891. (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 1.19Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Paralleleadbc4080120160200SE +/- 1.93, N = 5192.69194.15196.61200.33200.771. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Beauty 4K 10-bitdacbe48121620SE +/- 0.03, N = 317.9818.0018.0218.0218.031. (CXX) g++ options: -march=native -mno-avx

ONNX Runtime

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standardabedc2004006008001000SE +/- 3.76, N = 3894.33889.88889.34888.39886.331. (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 1.19Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standardabedc0.25390.50780.76171.01561.2695SE +/- 0.00471, N = 31.118191.123671.124431.125631.128251. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: fcn-resnet101-11 - Device: CPU - Executor: Parallelbcdae110220330440550SE +/- 6.17, N = 3502.75495.10494.74492.38482.961. (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 1.19Model: fcn-resnet101-11 - Device: CPU - Executor: Parallelbcdae0.46590.93181.39771.86362.3295SE +/- 0.02543, N = 31.989042.019802.021262.031572.070551. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: GPT-2 - Device: CPU - Executor: Parallelcadeb246810SE +/- 0.08654, N = 38.709018.444378.282348.233087.963041. (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 1.19Model: GPT-2 - Device: CPU - Executor: Parallelcadeb306090120150SE +/- 1.21, N = 3114.76118.38120.67121.40125.511. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: fcn-resnet101-11 - Device: CPU - Executor: Standardceadb80160240320400SE +/- 0.76, N = 3357.86357.36356.48355.91355.751. (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 1.19Model: fcn-resnet101-11 - Device: CPU - Executor: Standardceadb0.63251.2651.89752.533.1625SE +/- 0.00600, N = 32.794352.798262.805242.809682.810971. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: GPT-2 - Device: CPU - Executor: Standarddaebc1.27732.55463.83195.10926.3865SE +/- 0.01074, N = 35.677015.664995.664895.658855.658281. (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 1.19Model: GPT-2 - Device: CPU - Executor: Standarddaebc4080120160200SE +/- 0.34, N = 3176.04176.40176.42176.61176.611. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: bertsquad-12 - Device: CPU - Executor: Parallelcadbe1428425670SE +/- 0.49, N = 361.1257.6357.2856.4755.081. (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 1.19Model: bertsquad-12 - Device: CPU - Executor: Parallelcadbe48121620SE +/- 0.15, N = 316.3617.3517.4617.7118.161. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: ArcFace ResNet-100 - Device: CPU - Executor: Standardbdace20406080100SE +/- 0.04, N = 3105.51105.37105.35105.30105.301. (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 1.19Model: ArcFace ResNet-100 - Device: CPU - Executor: Standardbdace3691215SE +/- 0.00338, N = 39.477659.490659.492069.496209.496471. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: bertsquad-12 - Device: CPU - Executor: Standardeabcd1020304050SE +/- 0.37, N = 346.2545.9745.6845.4245.291. (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 1.19Model: bertsquad-12 - Device: CPU - Executor: Standardeabcd510152025SE +/- 0.18, N = 321.6221.7621.8922.0122.081. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: T5 Encoder - Device: CPU - Executor: Standardbaced1.0762.1523.2284.3045.38SE +/- 0.00534, N = 34.782244.781344.781084.776504.763321. (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 1.19Model: T5 Encoder - Device: CPU - Executor: Standardbaced50100150200250SE +/- 0.23, N = 3209.05209.09209.11209.31209.891. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: yolov4 - Device: CPU - Executor: Standardcaedb1326395265SE +/- 0.36, N = 358.3658.0257.5257.4556.691. (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 1.19Model: yolov4 - Device: CPU - Executor: Standardcaedb48121620SE +/- 0.11, N = 317.1417.2417.3817.4117.641. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standardcdabe48121620SE +/- 0.08, N = 317.0616.9016.7916.6616.611. (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 1.19Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standardcdabe1326395265SE +/- 0.28, N = 358.6159.1759.5460.0260.201. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallelbdeac510152025SE +/- 0.08, N = 322.0921.9421.6921.4421.401. (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 1.19Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallelbdeac1122334455SE +/- 0.18, N = 345.2645.5846.1046.6446.721. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallelebcad0.73121.46242.19362.92483.656SE +/- 0.02636, N = 33.249623.222873.197553.192093.186531. (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 1.19Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallelebcad70140210280350SE +/- 2.57, N = 3307.62310.17312.62313.19313.701. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: CaffeNet 12-int8 - Device: CPU - Executor: Standardedbac0.23410.46820.70230.93641.1705SE +/- 0.00581, N = 31.040551.035501.034691.027741.027261. (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 1.19Model: CaffeNet 12-int8 - Device: CPU - Executor: Standardedbac2004006008001000SE +/- 5.46, N = 3960.34965.12965.84972.40972.911. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standardebacd0.71991.43982.15972.87963.5995SE +/- 0.00266, N = 33.199673.189713.170503.166633.156251. (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 1.19Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standardebacd70140210280350SE +/- 0.27, N = 3312.49313.47315.35315.74316.771. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: super-resolution-10 - Device: CPU - Executor: Paralleledcba3691215SE +/- 0.08, N = 310.6910.5910.5410.4610.401. (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 1.19Model: super-resolution-10 - Device: CPU - Executor: Paralleledcba20406080100SE +/- 0.71, N = 393.5594.4394.8495.6096.191. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.19Model: super-resolution-10 - Device: CPU - Executor: Standardbacde3691215SE +/- 0.05, N = 311.5511.4911.4911.4611.441. (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 1.19Model: super-resolution-10 - Device: CPU - Executor: Standardbacde20406080100SE +/- 0.39, N = 386.6187.0087.0387.2487.431. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 1080pecabd20406080100SE +/- 0.23, N = 382.2282.4582.4683.7583.751. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 4Keacbd1326395265SE +/- 0.23, N = 358.8358.8859.2459.4460.081. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pdabec4080120160200SE +/- 1.66, N = 3187.63187.97188.99190.47190.831. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4Kdcaeb50100150200250SE +/- 0.72, N = 3226.98227.36227.36227.70228.321. (CXX) g++ options: -march=native -mno-avx

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 1080pabcde150300450600750SE +/- 5.44, N = 3688.06693.23696.74697.16700.091. (CXX) g++ options: -march=native -mno-avx

ONNX Runtime

Model: ZFNet-512 - Device: CPU - Executor: Parallel

a: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

b: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

c: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

d: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

e: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

Model: ZFNet-512 - Device: CPU - Executor: Standard

a: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

b: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

c: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

d: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

e: The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:55 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) Failed to load model from "zfnet512-12/zfnet512-12.onnx" because protobuf parsing failed.

56 Results Shown

SVT-AV1:
  Preset 3 - Beauty 4K 10-bit
  Preset 3 - Bosphorus 4K
  Preset 5 - Beauty 4K 10-bit
ONNX Runtime:
  ArcFace ResNet-100 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
SVT-AV1:
  Preset 3 - Bosphorus 1080p
  Preset 8 - Beauty 4K 10-bit
ONNX Runtime:
  T5 Encoder - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
SVT-AV1
ONNX Runtime:
  ResNet101_DUC_HDC-12 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  yolov4 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  ResNet50 v1-12-int8 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
SVT-AV1
ONNX Runtime:
  ResNet101_DUC_HDC-12 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  fcn-resnet101-11 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  GPT-2 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  fcn-resnet101-11 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  GPT-2 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  bertsquad-12 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  ArcFace ResNet-100 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  bertsquad-12 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  T5 Encoder - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  yolov4 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  Faster R-CNN R-50-FPN-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  Faster R-CNN R-50-FPN-int8 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  CaffeNet 12-int8 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  CaffeNet 12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  ResNet50 v1-12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  super-resolution-10 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  super-resolution-10 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
SVT-AV1:
  Preset 5 - Bosphorus 1080p
  Preset 8 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
  Preset 13 - Bosphorus 4K
  Preset 13 - Bosphorus 1080p