Ryzen 9 5950X oneDNN 2.0 AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS) and AMD SIENNA_CICHLID 16GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012095-HA-RYZEN959559&grr&rdt .
Ryzen 9 5950X oneDNN 2.0 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Ryzen 9 5950X 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS) AMD Starship/Matisse 16GB 2000GB Corsair Force MP600 + 2000GB AMD SIENNA_CICHLID 16GB (2475/1000MHz) AMD Device ab28 ASUS MG28U Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 20.04 5.10.0-051000rc6daily20201205-generic (x86_64) 20201204 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 21.0.0-devel (git-ab0d6c9 2020-12-08 focal-oibaf-ppa) (LLVM 11.0.0) 1.2.145 GCC 9.3.0 ext4 2560x1440 OpenBenchmarking.org Compiler 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 performance (Boost: Enabled) - CPU Microcode: 0xa201009 Security 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
Ryzen 9 5950X oneDNN 2.0 onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 3452.89 3470.03 3430.66 2301.02 2311.85 2278.07 3.25019 2.76049 4.88635 0.923413 0.749824 1.39888 0.590576 10.7981 19.5530 17.2358 1.71043 3.73727 2837.83 2719.30 2725.67 1796.69 1792.44 1783.44 3.24561 2.74784 4.94604 0.921791 0.633434 1.25288 0.590725 10.6396 19.1957 17.3880 1.70081 3.76784 2738.61 2722.05 2722.51 1794.41 1789.88 1792.81 2.87312 2.47316 3.99001 0.819649 0.639379 1.25478 0.466624 9.07806 17.5362 15.2630 1.52908 3.56623 OpenBenchmarking.org
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 700 1400 2100 2800 3500 SE +/- 24.21, N = 3 SE +/- 61.69, N = 15 SE +/- 8.59, N = 3 3452.89 2837.83 2738.61 MIN: 3269.28 MIN: 2694.16 MIN: 2703.64 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 700 1400 2100 2800 3500 SE +/- 34.90, N = 3 SE +/- 10.75, N = 3 SE +/- 1.91, N = 3 3470.03 2719.30 2722.05 MIN: 3247.9 MIN: 2684.87 MIN: 2706.03 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 700 1400 2100 2800 3500 SE +/- 23.57, N = 3 SE +/- 14.90, N = 3 SE +/- 7.34, N = 3 3430.66 2725.67 2722.51 MIN: 3266.99 MIN: 2697.95 MIN: 2697.53 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 500 1000 1500 2000 2500 SE +/- 16.79, N = 3 SE +/- 6.01, N = 3 SE +/- 14.93, N = 3 2301.02 1796.69 1794.41 MIN: 2170.9 MIN: 1769.4 MIN: 1752.05 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 500 1000 1500 2000 2500 SE +/- 15.75, N = 3 SE +/- 16.52, N = 3 SE +/- 14.95, N = 3 2311.85 1792.44 1789.88 MIN: 2201.85 MIN: 1756.29 MIN: 1759.62 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 500 1000 1500 2000 2500 SE +/- 19.83, N = 3 SE +/- 17.36, N = 3 SE +/- 16.22, N = 3 2278.07 1783.44 1792.81 MIN: 2142.14 MIN: 1744.5 MIN: 1758.27 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.7313 1.4626 2.1939 2.9252 3.6565 SE +/- 0.01109, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.00979, N = 3 3.25019 3.24561 2.87312 MIN: 2.71 MIN: 2.69 MIN: 2.69 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.6211 1.2422 1.8633 2.4844 3.1055 SE +/- 0.00796, N = 3 SE +/- 0.00454, N = 3 SE +/- 0.00285, N = 3 2.76049 2.74784 2.47316 MIN: 2.33 MIN: 2.32 MIN: 2.35 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 1.1129 2.2258 3.3387 4.4516 5.5645 SE +/- 0.01184, N = 3 SE +/- 0.00835, N = 3 SE +/- 0.01234, N = 3 4.88635 4.94604 3.99001 MIN: 3.77 MIN: 3.84 MIN: 3.74 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.2078 0.4156 0.6234 0.8312 1.039 SE +/- 0.004129, N = 3 SE +/- 0.004155, N = 3 SE +/- 0.003079, N = 3 0.923413 0.921791 0.819649 MIN: 0.73 MIN: 0.73 MIN: 0.74 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.1687 0.3374 0.5061 0.6748 0.8435 SE +/- 0.002893, N = 3 SE +/- 0.000694, N = 3 SE +/- 0.001565, N = 3 0.749824 0.633434 0.639379 MIN: 0.59 MIN: 0.6 MIN: 0.6 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.3147 0.6294 0.9441 1.2588 1.5735 SE +/- 0.00261, N = 3 SE +/- 0.00040, N = 3 SE +/- 0.00029, N = 3 1.39888 1.25288 1.25478 MIN: 1.15 MIN: 1.16 MIN: 1.16 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.1329 0.2658 0.3987 0.5316 0.6645 SE +/- 0.008135, N = 4 SE +/- 0.007956, N = 3 SE +/- 0.004577, N = 3 0.590576 0.590725 0.466624 MIN: 0.43 MIN: 0.43 MIN: 0.42 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.06286, N = 3 SE +/- 0.02284, N = 3 SE +/- 0.02957, N = 3 10.79810 10.63960 9.07806 MIN: 9.36 MIN: 9.21 MIN: 8.88 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 19.55 19.20 17.54 MIN: 17.64 MIN: 17.49 MIN: 17.34 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 17.24 17.39 15.26 MIN: 15.64 MIN: 15.24 MIN: 14.96 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.3848 0.7696 1.1544 1.5392 1.924 SE +/- 0.02353, N = 4 SE +/- 0.02055, N = 3 SE +/- 0.00305, N = 3 1.71043 1.70081 1.52908 MIN: 1.38 MIN: 1.39 MIN: 1.42 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU Ryzen 9 5950X 5950X AMD Ryzen 9 5950X 0.8478 1.6956 2.5434 3.3912 4.239 SE +/- 0.02064, N = 3 SE +/- 0.00362, N = 3 SE +/- 0.01129, N = 3 3.73727 3.76784 3.56623 MIN: 3.45 MIN: 3.44 MIN: 3.43 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Phoronix Test Suite v10.8.4