onednn onnx threadripper

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS) and AMD Radeon RX 5700 8GB on Pop 21.10 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 2203314-PTS-ONEDNNON39
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March 31 2022
  2 Hours, 35 Minutes
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March 31 2022
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March 31 2022
  1 Hour, 55 Minutes
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onednn onnx threadripper - Phoronix Test Suite

onednn onnx threadripper

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS) and AMD Radeon RX 5700 8GB on Pop 21.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2203314-PTS-ONEDNNON39&grs&sro.

onednn onnx threadripperProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCDAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Pop 21.105.17.0-rc1-sched-core-phx (x86_64)GNOME Shell 40.5X Server4.6 Mesa 21.2.2 (LLVM 12.0.1)1.2.182GCC 11.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301039Python Details- Python 3.9.7Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

onednn onnx threadripperonnx: bertsquad-12 - CPU - Standardonednn: IP Shapes 3D - f32 - CPUonnx: GPT-2 - CPU - Standardonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonnx: ArcFace ResNet-100 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonednn: Recurrent Neural Network Training - f32 - CPUonnx: yolov4 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonnx: ArcFace ResNet-100 - CPU - Parallelonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonnx: yolov4 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUABCD5315.5438742190.9412661260.206.680055028.061.13774995153424824959.96293381534611236.754954.3410880.9791356.394302.10617361732311.60371208.5237.591651.526192.184332.009536476.2707247100.9100561251.246.821664997.821.117741010156425805003.99293378035121246.075034.8310720.9927136.433302.11025362640111.34491242.446.930131.498712.351611.964206466.2866348230.9041101221.126.850395011.491.119271017153432814964.59295378435291238.605003.3810790.9870206.446892.11212362756011.90351250.997.579411.560002.374031.993836426.4080644410.9284041211.446.906074884.901.10705991157421814882.28300373134951223.534950.9710790.9848196.443302.11146361737511.752151254.397.049811.455112.421761.91681OpenBenchmarking.org

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardABCD140280420560700SE +/- 3.69, N = 3SE +/- 0.67, N = 3SE +/- 2.02, N = 3SE +/- 1.32, N = 35316476466421. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUABCD246810SE +/- 0.01655, N = 3SE +/- 0.00710, N = 3SE +/- 0.06711, N = 3SE +/- 0.07364, N = 35.543876.270726.286636.40806MIN: 5.3MIN: 6.08MIN: 6.01MIN: 6.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardABCD10002000300040005000SE +/- 60.06, N = 12SE +/- 30.47, N = 3SE +/- 17.68, N = 3SE +/- 44.12, N = 1242194710482344411. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUABCD0.21180.42360.63540.84721.059SE +/- 0.010786, N = 3SE +/- 0.010535, N = 15SE +/- 0.009118, N = 3SE +/- 0.009748, N = 150.9412660.9100560.9041100.928404MIN: 0.86MIN: 0.8MIN: 0.84MIN: 0.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUABCD30060090012001500SE +/- 1.48, N = 3SE +/- 15.69, N = 3SE +/- 2.45, N = 3SE +/- 9.49, N = 31260.201251.241221.121211.44MIN: 1234.63MIN: 1199.03MIN: 1196.31MIN: 1174.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUABCD246810SE +/- 0.04611, N = 3SE +/- 0.03741, N = 3SE +/- 0.03051, N = 3SE +/- 0.03878, N = 36.680056.821666.850396.90607MIN: 5.95MIN: 6.16MIN: 6.18MIN: 6.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUABCD11002200330044005500SE +/- 3.11, N = 3SE +/- 9.21, N = 3SE +/- 10.61, N = 3SE +/- 80.48, N = 135028.064997.825011.494884.90MIN: 4972.23MIN: 4933.96MIN: 4942.23MIN: 4023.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUABCD0.2560.5120.7681.0241.28SE +/- 0.00225, N = 3SE +/- 0.00878, N = 9SE +/- 0.00210, N = 3SE +/- 0.01354, N = 31.137741.117741.119271.10705MIN: 1.04MIN: 1MIN: 1.04MIN: 1.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardABCD2004006008001000SE +/- 5.53, N = 3SE +/- 5.18, N = 3SE +/- 3.28, N = 3SE +/- 7.44, N = 3995101010179911. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardABCD306090120150SE +/- 0.33, N = 3SE +/- 0.44, N = 3SE +/- 0.73, N = 3SE +/- 0.44, N = 31531561531571. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelABCD90180270360450SE +/- 2.93, N = 3SE +/- 1.44, N = 3SE +/- 1.80, N = 3SE +/- 0.93, N = 34244254324211. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelABCD20406080100SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3828081811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUABCD11002200330044005500SE +/- 28.21, N = 3SE +/- 8.67, N = 3SE +/- 48.98, N = 3SE +/- 59.27, N = 154959.965003.994964.594882.28MIN: 4866.16MIN: 4937.34MIN: 4820.84MIN: 4219.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardABCD70140210280350SE +/- 3.18, N = 4SE +/- 1.42, N = 3SE +/- 1.64, N = 3SE +/- 1.04, N = 32932932953001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelABCD8001600240032004000SE +/- 34.71, N = 3SE +/- 19.55, N = 3SE +/- 26.17, N = 3SE +/- 42.45, N = 438153780378437311. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelABCD8001600240032004000SE +/- 7.49, N = 3SE +/- 0.44, N = 3SE +/- 6.29, N = 3SE +/- 4.21, N = 334613512352934951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUABCD30060090012001500SE +/- 9.32, N = 3SE +/- 10.61, N = 15SE +/- 2.90, N = 3SE +/- 5.02, N = 31236.751246.071238.601223.53MIN: 1201.87MIN: 1122.63MIN: 1199.98MIN: 1198.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUABCD11002200330044005500SE +/- 40.36, N = 9SE +/- 24.43, N = 3SE +/- 9.55, N = 3SE +/- 19.43, N = 34954.345034.835003.384950.97MIN: 4613.84MIN: 4959.6MIN: 4934.99MIN: 4866.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelABCD2004006008001000SE +/- 5.11, N = 3SE +/- 4.36, N = 3SE +/- 7.42, N = 3SE +/- 2.33, N = 310881072107910791. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUABCD0.22340.44680.67020.89361.117SE +/- 0.001712, N = 3SE +/- 0.001082, N = 3SE +/- 0.004648, N = 3SE +/- 0.000768, N = 30.9791350.9927130.9870200.984819MIN: 0.93MIN: 0.93MIN: 0.91MIN: 0.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUABCD246810SE +/- 0.01609, N = 3SE +/- 0.02160, N = 3SE +/- 0.00816, N = 3SE +/- 0.01318, N = 36.394306.433306.446896.44330MIN: 6.31MIN: 6.33MIN: 6.34MIN: 6.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUABCD0.47520.95041.42561.90082.376SE +/- 0.00321, N = 3SE +/- 0.00652, N = 3SE +/- 0.00512, N = 3SE +/- 0.00569, N = 32.106172.110252.112122.11146MIN: 2.05MIN: 2.05MIN: 2.06MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelABCD80160240320400SE +/- 0.50, N = 3SE +/- 0.29, N = 3SE +/- 0.33, N = 3SE +/- 0.17, N = 33613623623611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardABCD16003200480064008000SE +/- 58.03, N = 3SE +/- 409.51, N = 12SE +/- 47.29, N = 3SE +/- 46.97, N = 373236401756073751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUABCD3691215SE +/- 0.23, N = 15SE +/- 0.07, N = 3SE +/- 0.32, N = 15SE +/- 0.39, N = 1211.6011.3411.9011.75MIN: 9.98MIN: 10.78MIN: 8.22MIN: 8.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUABCD30060090012001500SE +/- 37.60, N = 12SE +/- 8.78, N = 3SE +/- 14.38, N = 3SE +/- 10.63, N = 31208.521242.441250.991254.39MIN: 796.32MIN: 1204.89MIN: 1202.91MIN: 1209.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUABCD246810SE +/- 0.31854, N = 15SE +/- 0.38999, N = 15SE +/- 0.41090, N = 15SE +/- 0.36772, N = 127.591656.930137.579417.04981MIN: 5.06MIN: 4.81MIN: 4.43MIN: 4.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUABCD0.3510.7021.0531.4041.755SE +/- 0.00789, N = 3SE +/- 0.04182, N = 12SE +/- 0.00131, N = 3SE +/- 0.02072, N = 31.526191.498711.560001.45511MIN: 1.38MIN: 0.93MIN: 1.41MIN: 1.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUABCD0.54491.08981.63472.17962.7245SE +/- 0.09135, N = 12SE +/- 0.08755, N = 15SE +/- 0.10516, N = 12SE +/- 0.08567, N = 152.184332.351612.374032.42176MIN: 1.28MIN: 1.4MIN: 1.6MIN: 1.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUABCD0.45210.90421.35631.80842.2605SE +/- 0.02176, N = 15SE +/- 0.06425, N = 12SE +/- 0.05487, N = 15SE +/- 0.06721, N = 152.009531.964201.993831.91681MIN: 1.59MIN: 1.46MIN: 1.39MIN: 1.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Phoronix Test Suite v10.8.4