onnx 119

AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon Pro W7900 on Ubuntu 24.10 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 2408227-PTS-ONNX119192
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August 21
  5 Hours, 1 Minute
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August 21
  6 Hours, 11 Minutes
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August 22
  1 Hour, 12 Minutes
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August 22
  1 Hour, 12 Minutes
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August 22
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onnx 119OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 7980X 64-Cores @ 7.79GHz (64 Cores / 128 Threads)System76 Thelio Major (FA Z5 BIOS)AMD Device 14a44 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA21000GB CT1000T700SSD5AMD Radeon Pro W7900AMD Device 14ccDELL P2415QAquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6EUbuntu 24.106.8.0-31-generic (x86_64)GNOME ShellX Server + Wayland4.6 Mesa 24.0.9-0ubuntu2 (LLVM 17.0.6 DRM 3.57)GCC 14.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionOnnx 119 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,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-F5tscv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-F5tscv/gcc-14-14.2.0/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-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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa108105- Python 3.12.5- 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: Not affected + retbleed: Not affected + 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 Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdeResult OverviewPhoronix Test Suite100%105%110%115%ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeSVT-AV1ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeSVT-AV1SVT-AV1ONNX RuntimeSVT-AV1ONNX RuntimeSVT-AV1ONNX RuntimeSVT-AV1ONNX RuntimeSVT-AV1ONNX RuntimeSVT-AV1SVT-AV1SVT-AV1SVT-AV1SVT-AV1ONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeCaffeNet 12-int8 - CPU - Parallelfcn-resnet101-11 - CPU - StandardCaffeNet 12-int8 - CPU - StandardZFNet-512 - CPU - ParallelArcFace ResNet-100 - CPU - Standardyolov4 - CPU - ParallelPreset 13 - Bosphorus 1080psuper-resolution-10 - CPU - StandardZFNet-512 - CPU - Standardbertsquad-12 - CPU - ParallelR.v.1.i - CPU - Standardfcn-resnet101-11 - CPU - ParallelF.R.C.R.5.F.i - CPU - Parallelyolov4 - CPU - Standardbertsquad-12 - CPU - StandardArcFace ResNet-100 - CPU - ParallelT5 Encoder - CPU - StandardF.R.C.R.5.F.i - CPU - StandardGPT-2 - CPU - StandardResNet101_DUC_HDC-12 - CPU - ParallelPreset 8 - Bosphorus 1080pPreset 13 - Bosphorus 4KR.v.1.i - CPU - ParallelPreset 3 - Bosphorus 4Ksuper-resolution-10 - CPU - ParallelPreset 8 - Beauty 4K 10-bitResNet101_DUC_HDC-12 - CPU - StandardPreset 5 - Bosphorus 4KT5 Encoder - CPU - ParallelPreset 8 - Bosphorus 4KGPT-2 - CPU - ParallelPreset 5 - Bosphorus 1080pPreset 3 - Beauty 4K 10-bitPreset 3 - Bosphorus 1080pPreset 13 - Beauty 4K 10-bitPreset 5 - Beauty 4K 10-bitGPT-2 - CPU - ParallelGPT-2 - CPU - Standardyolov4 - CPU - Parallelyolov4 - CPU - StandardZFNet-512 - CPU - ParallelZFNet-512 - CPU - StandardT5 Encoder - CPU - ParallelT5 Encoder - CPU - Standardbertsquad-12 - CPU - Parallelbertsquad-12 - CPU - StandardCaffeNet 12-int8 - CPU - ParallelCaffeNet 12-int8 - CPU - Standardfcn-resnet101-11 - CPU - Parallelfcn-resnet101-11 - CPU - StandardArcFace ResNet-100 - CPU - ParallelArcFace ResNet-100 - CPU - StandardR.v.1.i - CPU - ParallelR.v.1.i - CPU - Standardsuper-resolution-10 - CPU - Parallelsuper-resolution-10 - CPU - StandardResNet101_DUC_HDC-12 - CPU - ParallelResNet101_DUC_HDC-12 - CPU - StandardF.R.C.R.5.F.i - CPU - ParallelF.R.C.R.5.F.i - CPU - Standard

onnx 119onnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: ZFNet-512 - CPU - Parallelonnx: ZFNet-512 - CPU - Standardonnx: T5 Encoder - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: ResNet101_DUC_HDC-12 - CPU - Parallelonnx: ResNet101_DUC_HDC-12 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardsvt-av1: Preset 3 - Bosphorus 4Ksvt-av1: Preset 5 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 3 - Bosphorus 1080psvt-av1: Preset 5 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 3 - Beauty 4K 10-bitsvt-av1: Preset 5 - Beauty 4K 10-bitsvt-av1: Preset 8 - Beauty 4K 10-bitsvt-av1: Preset 13 - Beauty 4K 10-bitonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: ZFNet-512 - CPU - Parallelonnx: ZFNet-512 - CPU - Standardonnx: T5 Encoder - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: ResNet101_DUC_HDC-12 - CPU - Parallelonnx: ResNet101_DUC_HDC-12 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardabcde160.706105.0395.272468.7600753.406881.7752335.503140.9586.7685412.6730204.479454.7231.103583.9268612.603938.347674.2061201.103131.313100.59271.609872.6824828.725944.560013.39845.61496.210231.11136.605119.221271.676740.0011.8647.77510.84419.5206.216289.51832189.677114.15218.729712.22682.979387.09442147.81478.92094.889252.19841908.296257.99079.340026.080313.47484.971877.614179.94497621.226372.78934.828822.4415161.407105.7915.127898.7125154.577981.4158338.928142.1146.8626212.7377200.840460.0161.098254.0040412.475636.965874.3624201.424130.489100.68301.599992.7014528.876644.456613.35045.34396.423233.24836.553119.229269.879740.7901.8577.80110.82719.4176.189119.45128195.128114.82718.326612.29392.949367.03694145.78478.57214.994902.17339913.539252.33580.159427.058213.44824.964377.662429.93654625.060370.17734.645022.4918162.175105.595.304869.0561950.742182.4953339.175141.2316.917413.1796178.126442.1171.094693.4311512.390838.781673.1208194.343130.766100.8761.619162.6910527.652644.041913.5345.66296.06232.39636.664119.768266.006764.0031.8677.81110.85219.3966.159899.46853188.5110.41819.705412.11862.94697.08004144.55975.87165.612362.26126913.494291.44480.702125.783613.67465.144897.64599.91284617.6371.59936.160522.7032161.862105.1465.007178.7927954.30481.6673335.859138.1647.1059312.9971212.81419.4211.144863.4706912.611239.210173.4749203.835132.221105.0211.585262.6696627.613945.288313.38145.16597.046228.83436.707118.798269.428783.1221.8747.80910.87319.4426.171859.50891199.707113.72618.412812.24262.976087.23734140.72476.93654.697422.38355873.467288.12479.291625.501213.60884.905037.56189.52165630.805374.57736.211122.0783162.245107.7235.118429.0878854.415578.1552338.703138.6057.0212112.7428210.622440.3541.124563.6110812.84536.6874.3302202.692131.26999.40831.61012.6941327.757244.109913.41345.4196.775228.9736.456119.923268.76749.2571.8677.76510.96519.4416.157569.28112195.366110.03318.375112.79232.951247.21415142.42278.47174.746272.27019889.231276.92377.848327.260413.45224.932857.6165910.0592621.076371.17536.024222.668OpenBenchmarking.org

ONNX Runtime

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.19Model: GPT-2 - Device: CPU - Executor: Paralleledcba4080120160200SE +/- 0.37, N = 3SE +/- 0.25, N = 3162.25161.86162.18161.41160.711. (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: Standardedcba20406080100SE +/- 0.58, N = 3SE +/- 0.21, N = 3107.72105.15105.59105.79105.041. (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: Paralleledcba1.19362.38723.58084.77445.968SE +/- 0.03454, N = 15SE +/- 0.03706, N = 35.118425.007175.304865.127895.272461. (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: Standardedcba3691215SE +/- 0.10839, N = 4SE +/- 0.01899, N = 39.087888.792799.056198.712518.760071. (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: ZFNet-512 - Device: CPU - Executor: Paralleledcba1224364860SE +/- 0.73, N = 3SE +/- 0.75, N = 354.4254.3050.7454.5853.411. (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: ZFNet-512 - Device: CPU - Executor: Standardedcba20406080100SE +/- 0.72, N = 15SE +/- 0.40, N = 378.1681.6782.5081.4281.781. (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: Paralleledcba70140210280350SE +/- 1.56, N = 3SE +/- 0.69, N = 3338.70335.86339.18338.93335.501. (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 1.19Model: T5 Encoder - Device: CPU - Executor: Standardedcba306090120150SE +/- 1.08, N = 3SE +/- 0.88, N = 3138.61138.16141.23142.11140.961. (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: bertsquad-12 - Device: CPU - Executor: Paralleledcba246810SE +/- 0.07644, N = 5SE +/- 0.05485, N = 97.021217.105936.917406.862626.768541. (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: Standardedcba3691215SE +/- 0.10, N = 15SE +/- 0.13, N = 312.7413.0013.1812.7412.671. (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: Paralleledcba50100150200250SE +/- 3.47, N = 12SE +/- 1.28, N = 3210.62212.81178.13200.84204.481. (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: Standardedcba100200300400500SE +/- 3.83, N = 3SE +/- 1.43, N = 3440.35419.42442.12460.02454.721. (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: Paralleledcba0.25760.51520.77281.03041.288SE +/- 0.01709, N = 15SE +/- 0.01462, N = 151.124561.144861.094691.098251.103581. (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: Standardedcba0.90091.80182.70273.60364.5045SE +/- 0.10773, N = 15SE +/- 0.12199, N = 153.611083.470693.431154.004043.926861. (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: Paralleledcba3691215SE +/- 0.08, N = 3SE +/- 0.05, N = 312.8512.6112.3912.4812.601. (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: Standardedcba918273645SE +/- 0.45, N = 3SE +/- 0.40, N = 336.6839.2138.7836.9738.351. (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: Paralleledcba20406080100SE +/- 0.72, N = 3SE +/- 0.25, N = 374.3373.4773.1274.3674.211. (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: Standardedcba4080120160200SE +/- 1.52, N = 3SE +/- 1.01, N = 3202.69203.84194.34201.42201.101. (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: Paralleledcba306090120150SE +/- 0.45, N = 3SE +/- 0.20, N = 3131.27132.22130.77130.49131.311. (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: Standardedcba20406080100SE +/- 1.11, N = 5SE +/- 0.94, N = 699.41105.02100.88100.68100.591. (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: Paralleledcba0.36430.72861.09291.45721.8215SE +/- 0.01116, N = 3SE +/- 0.01149, N = 31.610101.585261.619161.599991.609871. (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: Standardedcba0.60781.21561.82342.43123.039SE +/- 0.00886, N = 3SE +/- 0.00331, N = 32.694132.669662.691052.701452.682481. (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: Paralleledcba714212835SE +/- 0.32, N = 5SE +/- 0.21, N = 1127.7627.6127.6528.8828.731. (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: Standardedcba1020304050SE +/- 0.14, N = 3SE +/- 0.33, N = 344.1145.2944.0444.4644.561. (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 4Kedcba3691215SE +/- 0.04, N = 3SE +/- 0.02, N = 313.4113.3813.5313.3513.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 4Kedcba1020304050SE +/- 0.22, N = 3SE +/- 0.18, N = 345.4145.1745.6645.3445.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 4Kedcba20406080100SE +/- 0.79, N = 3SE +/- 0.26, N = 396.7897.0596.0696.4296.211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4Kedcba50100150200250SE +/- 2.31, N = 3SE +/- 1.99, N = 8228.97228.83232.40233.25231.111. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 1080pedcba816243240SE +/- 0.01, N = 3SE +/- 0.03, N = 336.4636.7136.6636.5536.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 1080pedcba306090120150SE +/- 0.35, N = 3SE +/- 0.52, N = 3119.92118.80119.77119.23119.221. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pedcba60120180240300SE +/- 0.65, N = 3SE +/- 0.46, N = 3268.76269.43266.01269.88271.681. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 1080pedcba2004006008001000SE +/- 8.40, N = 4SE +/- 7.99, N = 4749.26783.12764.00740.79740.001. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Beauty 4K 10-bitedcba0.42170.84341.26511.68682.1085SE +/- 0.004, N = 3SE +/- 0.002, N = 31.8671.8741.8671.8571.8641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Beauty 4K 10-bitedcba246810SE +/- 0.008, N = 3SE +/- 0.029, N = 37.7657.8097.8117.8017.7751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Beauty 4K 10-bitedcba3691215SE +/- 0.05, N = 3SE +/- 0.04, N = 310.9710.8710.8510.8310.841. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Beauty 4K 10-bitedcba510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 319.4419.4419.4019.4219.521. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq