onednn onnx alderlake

Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1003 BIOS) and Gigabyte AMD Radeon RX 6800 XT 16GB on Ubuntu 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 2203319-NE-ONEDNNONN20
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March 31 2022
  1 Hour, 52 Minutes
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March 31 2022
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March 31 2022
  1 Hour, 47 Minutes
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onednn onnx alderlake - Phoronix Test Suite

onednn onnx alderlake

Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1003 BIOS) and Gigabyte AMD Radeon RX 6800 XT 16GB on Ubuntu 21.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2203319-NE-ONEDNNONN20&grr.

onednn onnx alderlakeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCDIntel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1003 BIOS)Intel Device 7aa732GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBGigabyte AMD Radeon RX 6800 XT 16GB (2575/1000MHz)Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 21.105.17.0-phx (x86_64)GNOME Shell 40.5X Server 1.20.13 + Wayland4.6 Mesa 22.1.0-devel (git-ae710f3 2022-03-26 impish-oibaf-ppa) (LLVM 13.0.1 DRM 3.46)1.3.207GCC 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: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x18 - Thermald 2.4.6Python 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

onednn onnx alderlakeonnx: bertsquad-12 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUABCD925111963637989110356281908931670451853328.276802881.962884.942883.121617.551615.081614.541.0336541.082791.245671.353762.637243.912130.8820825.908656.054365.245362.21737937111953648110110776321913916664450453498.384112885.962881.542875.931612.801630.531611.800.8263391.055781.255101.353322.651353.818870.8516275.903206.046155.246012.22008933111953628046110796311896918666444453288.214152882.622879.532881.761611.271618.781612.970.8429981.057541.284321.340612.631803.884870.8817995.905786.056625.246482.22075964111953648095111236331893926669450653848.050842880.352882.222879.921614.271616.111614.781.0111411.059231.310811.342962.632873.887170.8850575.909306.047985.248262.21930OpenBenchmarking.org

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelABCD2004006008001000SE +/- 8.08, N = 3SE +/- 10.12, N = 5SE +/- 12.55, N = 3SE +/- 6.62, N = 39259379339641. (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 +/- 0.60, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 31111111111111. (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: StandardABCD20406080100SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3969595951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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: ParallelABCD80160240320400SE +/- 0.17, N = 3SE +/- 0.50, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 33633643623641. (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: ParallelABCD2K4K6K8K10KSE +/- 58.12, N = 3SE +/- 47.85, N = 3SE +/- 40.10, N = 3SE +/- 24.57, N = 379898110804680951. (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: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardABCD2K4K6K8K10KSE +/- 13.90, N = 3SE +/- 11.10, N = 3SE +/- 13.33, N = 3SE +/- 41.07, N = 3110351107711079111231. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelABCD140280420560700SE +/- 2.75, N = 3SE +/- 2.03, N = 3SE +/- 2.05, N = 3SE +/- 1.17, N = 36286326316331. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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: StandardABCD400800120016002000SE +/- 5.36, N = 3SE +/- 2.93, N = 3SE +/- 11.79, N = 3SE +/- 4.07, N = 319081913189618931. (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: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardABCD2004006008001000SE +/- 5.01, N = 3SE +/- 3.92, N = 3SE +/- 9.18, N = 3SE +/- 2.60, N = 39319169189261. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardABCD140280420560700SE +/- 2.33, N = 3SE +/- 4.18, N = 3SE +/- 2.74, N = 3SE +/- 3.53, N = 36706646666691. (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: ParallelABCD10002000300040005000SE +/- 53.96, N = 3SE +/- 63.24, N = 3SE +/- 28.86, N = 3SE +/- 57.47, N = 345184504444445061. (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: StandardABCD12002400360048006000SE +/- 20.95, N = 3SE +/- 31.64, N = 3SE +/- 28.50, N = 3SE +/- 52.89, N = 353325349532853841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 +/- 0.10247, N = 15SE +/- 0.11946, N = 14SE +/- 0.09831, N = 15SE +/- 0.05693, N = 38.276808.384118.214158.05084MIN: 4.02MIN: 3.99MIN: 4.09MIN: 4.241. (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: CPUABCD6001200180024003000SE +/- 6.09, N = 3SE +/- 2.20, N = 3SE +/- 1.28, N = 3SE +/- 2.59, N = 32881.962885.962882.622880.35MIN: 2865.7MIN: 2873.23MIN: 2872.99MIN: 2869.741. (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: CPUABCD6001200180024003000SE +/- 4.56, N = 3SE +/- 4.30, N = 3SE +/- 2.50, N = 3SE +/- 0.97, N = 32884.942881.542879.532882.22MIN: 2874.53MIN: 2866.57MIN: 2866.7MIN: 2871.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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: CPUABCD6001200180024003000SE +/- 3.43, N = 3SE +/- 3.97, N = 3SE +/- 2.26, N = 3SE +/- 3.46, N = 32883.122875.932881.762879.92MIN: 2869.72MIN: 2865.18MIN: 2866.35MIN: 2866.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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 +/- 5.04, N = 3SE +/- 1.77, N = 3SE +/- 1.60, N = 3SE +/- 0.67, N = 31617.551612.801611.271614.27MIN: 1606.77MIN: 1604.84MIN: 1602.83MIN: 1608.321. (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: CPUABCD400800120016002000SE +/- 3.13, N = 3SE +/- 22.13, N = 3SE +/- 3.52, N = 3SE +/- 2.17, N = 31615.081630.531618.781616.11MIN: 1605.12MIN: 1601.77MIN: 1609.4MIN: 1608.71. (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 +/- 2.06, N = 3SE +/- 2.11, N = 3SE +/- 0.75, N = 3SE +/- 1.49, N = 31614.541611.801612.971614.78MIN: 1608.19MIN: 1603.03MIN: 1606.37MIN: 1607.961. (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: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUABCD0.23260.46520.69780.93041.163SE +/- 0.086658, N = 12SE +/- 0.001870, N = 3SE +/- 0.006474, N = 3SE +/- 0.091776, N = 121.0336540.8263390.8429981.011141MIN: 0.71MIN: 0.71MIN: 0.72MIN: 0.71. (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: CPUABCD0.24360.48720.73080.97441.218SE +/- 0.01605, N = 15SE +/- 0.00867, N = 3SE +/- 0.00884, N = 3SE +/- 0.00217, N = 31.082791.055781.057541.05923MIN: 1.01MIN: 1.01MIN: 1.01MIN: 1.021. (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: CPUABCD0.29490.58980.88471.17961.4745SE +/- 0.01358, N = 3SE +/- 0.01551, N = 3SE +/- 0.01243, N = 3SE +/- 0.02113, N = 151.245671.255101.284321.31081MIN: 1.17MIN: 1.17MIN: 1.19MIN: 1.171. (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: CPUABCD0.30460.60920.91381.21841.523SE +/- 0.01690, N = 3SE +/- 0.01445, N = 3SE +/- 0.00457, N = 3SE +/- 0.00783, N = 31.353761.353321.340611.34296MIN: 1.28MIN: 1.28MIN: 1.28MIN: 1.281. (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: CPUABCD0.59661.19321.78982.38642.983SE +/- 0.00542, N = 3SE +/- 0.01495, N = 3SE +/- 0.00440, N = 3SE +/- 0.00281, N = 32.637242.651352.631802.63287MIN: 2.5MIN: 2.51MIN: 2.49MIN: 2.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUABCD0.88021.76042.64063.52084.401SE +/- 0.00073, N = 3SE +/- 0.00339, N = 3SE +/- 0.00218, N = 3SE +/- 0.00582, N = 33.912133.818873.884873.88717MIN: 3.89MIN: 3.78MIN: 3.86MIN: 3.851. (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: CPUABCD0.19910.39820.59730.79640.9955SE +/- 0.000523, N = 3SE +/- 0.003743, N = 3SE +/- 0.002403, N = 3SE +/- 0.006655, N = 30.8820820.8516270.8817990.885057MIN: 0.87MIN: 0.83MIN: 0.86MIN: 0.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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: CPUABCD1.32962.65923.98885.31846.648SE +/- 0.00465, N = 3SE +/- 0.00395, N = 3SE +/- 0.00383, N = 3SE +/- 0.00197, N = 35.908655.903205.905785.90930MIN: 5.79MIN: 5.83MIN: 5.82MIN: 5.751. (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 +/- 0.00353, N = 3SE +/- 0.00195, N = 3SE +/- 0.00242, N = 3SE +/- 0.00248, N = 36.054366.046156.056626.04798MIN: 5.99MIN: 5.97MIN: 5.9MIN: 5.951. (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: CPUABCD1.18092.36183.54274.72365.9045SE +/- 0.00223, N = 3SE +/- 0.00260, N = 3SE +/- 0.00169, N = 3SE +/- 0.00317, N = 35.245365.246015.246485.24826MIN: 5.18MIN: 5.17MIN: 5.19MIN: 5.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

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: CPUABCD0.49970.99941.49911.99882.4985SE +/- 0.00202, N = 3SE +/- 0.00095, N = 3SE +/- 0.00145, N = 3SE +/- 0.00390, N = 32.217372.220082.220752.21930MIN: 2.2MIN: 2.19MIN: 2.2MIN: 2.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Phoronix Test Suite v10.8.4