sysbench oneDNN Ryzen 9 5950X

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3204 BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2103140-PTS-SYSBENCH79&sro.

sysbench oneDNN Ryzen 9 5950XProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution12345AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3204 BIOS)AMD Starship/Matisse32GB2000GB Corsair Force MP600 + 2000GBllvmpipeAMD Device ab28Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.105.10.23-051023-generic (x86_64)GNOME Shell 3.38.2X Server 1.20.94.5 Mesa 21.1.0-devel (git-684f97d 2021-03-12 groovy-oibaf-ppa) (LLVM 11.0.1 256 bits)1.0.168GCC 10.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

sysbench oneDNN Ryzen 9 5950Xonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUsysbench: RAM / Memorysysbench: CPU123453.958468.682560.8348990.46177017.03634.946623.5767418.56951.068521.677742713.471755.702725.571746.000.6396422708.581740.781.4182414807.7890905.953.950238.611220.8318550.45650717.04475.140193.5673518.64721.062781.674652692.661722.242705.251727.540.6387072700.711715.761.4102514841.9791133.123.934898.612850.8337770.45450717.18834.814433.5689218.53441.058531.676382676.921727.292695.281739.580.6339262706.441713.751.4072414820.9491295.963.943318.811450.8304060.45838417.09674.586983.5621118.72031.056881.679592729.231721.032695.621736.050.6360192702.761716.201.4065414845.3091225.863.92958.896360.8326450.45964617.09554.703123.5715418.79881.057751.669732691.731714.952708.381733.880.6368442699.181736.711.4141514868.1691042.94OpenBenchmarking.org

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123450.89071.78142.67213.56284.4535SE +/- 0.01694, N = 3SE +/- 0.00752, N = 3SE +/- 0.01623, N = 3SE +/- 0.01060, N = 3SE +/- 0.03409, N = 33.958463.950233.934893.943313.92950MIN: 3.72MIN: 3.76MIN: 3.72MIN: 3.74MIN: 3.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12345246810SE +/- 0.02162, N = 3SE +/- 0.03495, N = 3SE +/- 0.05813, N = 3SE +/- 0.05920, N = 3SE +/- 0.03275, N = 38.682568.611228.612858.811458.89636MIN: 8.14MIN: 8.21MIN: 8.13MIN: 8.33MIN: 8.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123450.18790.37580.56370.75160.9395SE +/- 0.001499, N = 3SE +/- 0.002629, N = 3SE +/- 0.003750, N = 3SE +/- 0.001726, N = 3SE +/- 0.002188, N = 30.8348990.8318550.8337770.8304060.832645MIN: 0.75MIN: 0.75MIN: 0.76MIN: 0.75MIN: 0.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123450.10390.20780.31170.41560.5195SE +/- 0.004852, N = 3SE +/- 0.002258, N = 3SE +/- 0.002018, N = 3SE +/- 0.002373, N = 3SE +/- 0.001381, N = 30.4617700.4565070.4545070.4583840.459646MIN: 0.42MIN: 0.42MIN: 0.41MIN: 0.43MIN: 0.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1234548121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 317.0417.0417.1917.1017.10MIN: 16.37MIN: 16.63MIN: 16.53MIN: 16.53MIN: 16.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123451.15652.3133.46954.6265.7825SE +/- 0.26241, N = 15SE +/- 0.32359, N = 12SE +/- 0.25214, N = 12SE +/- 0.27001, N = 15SE +/- 0.23987, N = 154.946625.140194.814434.586984.70312MIN: 2.89MIN: 2.91MIN: 2.87MIN: 2.9MIN: 2.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123450.80481.60962.41443.21924.024SE +/- 0.00466, N = 3SE +/- 0.00034, N = 3SE +/- 0.00441, N = 3SE +/- 0.00236, N = 3SE +/- 0.00116, N = 33.576743.567353.568923.562113.57154MIN: 3.43MIN: 3.43MIN: 3.42MIN: 3.41MIN: 3.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12345510152025SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 318.5718.6518.5318.7218.80MIN: 18.16MIN: 18.1MIN: 18.14MIN: 18.33MIN: 18.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123450.24040.48080.72120.96161.202SE +/- 0.00181, N = 3SE +/- 0.00465, N = 3SE +/- 0.00161, N = 3SE +/- 0.00105, N = 3SE +/- 0.00119, N = 31.068521.062781.058531.056881.05775MIN: 0.97MIN: 0.98MIN: 0.97MIN: 0.97MIN: 0.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123450.37790.75581.13371.51161.8895SE +/- 0.00014, N = 3SE +/- 0.00176, N = 3SE +/- 0.00123, N = 3SE +/- 0.00545, N = 3SE +/- 0.00358, N = 31.677741.674651.676381.679591.66973MIN: 1.62MIN: 1.6MIN: 1.59MIN: 1.59MIN: 1.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU123456001200180024003000SE +/- 4.23, N = 3SE +/- 1.98, N = 3SE +/- 12.00, N = 3SE +/- 9.17, N = 3SE +/- 9.51, N = 32713.472692.662676.922729.232691.73MIN: 2695.46MIN: 2678.17MIN: 2645.36MIN: 2694.95MIN: 2662.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12345400800120016002000SE +/- 11.93, N = 3SE +/- 7.22, N = 3SE +/- 13.99, N = 3SE +/- 5.23, N = 3SE +/- 4.01, N = 31755.701722.241727.291721.031714.95MIN: 1720.03MIN: 1693.61MIN: 1698.14MIN: 1705.22MIN: 1698.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU123456001200180024003000SE +/- 10.35, N = 3SE +/- 8.00, N = 3SE +/- 10.44, N = 3SE +/- 11.59, N = 3SE +/- 10.27, N = 32725.572705.252695.282695.622708.38MIN: 2696.49MIN: 2682.75MIN: 2671.19MIN: 2673.04MIN: 2680.821. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12345400800120016002000SE +/- 12.65, N = 3SE +/- 0.49, N = 3SE +/- 12.37, N = 3SE +/- 9.45, N = 3SE +/- 6.52, N = 31746.001727.541739.581736.051733.88MIN: 1710.33MIN: 1714.36MIN: 1717.31MIN: 1713.46MIN: 1708.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123450.14390.28780.43170.57560.7195SE +/- 0.000949, N = 3SE +/- 0.000454, N = 3SE +/- 0.000478, N = 3SE +/- 0.000994, N = 3SE +/- 0.000627, N = 30.6396420.6387070.6339260.6360190.636844MIN: 0.61MIN: 0.61MIN: 0.6MIN: 0.61MIN: 0.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU123456001200180024003000SE +/- 4.11, N = 3SE +/- 5.61, N = 3SE +/- 11.04, N = 3SE +/- 7.92, N = 3SE +/- 4.86, N = 32708.582700.712706.442702.762699.18MIN: 2692.02MIN: 2685.06MIN: 2680.57MIN: 2678.89MIN: 2678.941. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12345400800120016002000SE +/- 8.56, N = 3SE +/- 0.54, N = 3SE +/- 2.22, N = 3SE +/- 2.84, N = 3SE +/- 9.03, N = 31740.781715.761713.751716.201736.71MIN: 1706.77MIN: 1703.59MIN: 1692.03MIN: 1701.07MIN: 1699.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123450.31910.63820.95731.27641.5955SE +/- 0.00092, N = 3SE +/- 0.00138, N = 3SE +/- 0.00206, N = 3SE +/- 0.00102, N = 3SE +/- 0.00141, N = 31.418241.410251.407241.406541.41415MIN: 1.31MIN: 1.31MIN: 1.3MIN: 1.3MIN: 1.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Sysbench

Test: RAM / Memory

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory123453K6K9K12K15KSE +/- 13.87, N = 3SE +/- 20.27, N = 3SE +/- 31.43, N = 3SE +/- 17.12, N = 3SE +/- 0.96, N = 314807.7814841.9714820.9414845.3014868.161. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1234520K40K60K80K100KSE +/- 88.94, N = 3SE +/- 77.39, N = 3SE +/- 84.52, N = 3SE +/- 87.78, N = 3SE +/- 86.89, N = 390905.9591133.1291295.9691225.8691042.941. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Phoronix Test Suite v10.8.5