5600x s AMD Ryzen 5 5600X 6-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1216 BIOS) and XFX AMD Radeon R9 285/380 2GB on Ubuntu 21.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2103295-IB-5600XS92352&grr&rdt .
5600x s Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution 1 2 3 AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads) ASUS TUF GAMING B550M-PLUS (WI-FI) (1216 BIOS) AMD Starship/Matisse 16GB 1000GB Western Digital WD_BLACK SN850 1TB XFX AMD Radeon R9 285/380 2GB (918/1375MHz) AMD Tonga HDMI Audio LG Ultra HD Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200 Ubuntu 21.04 5.10.0-14-generic (x86_64) GNOME Shell 3.38.3 X Server 1.20.9 + Wayland 4.6 Mesa 20.3.4 (LLVM 11.0.1) GCC 10.2.1 20210306 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Environment Details - DEBUGINFOD_URLS= Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-Gd1agl/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-Gd1agl/gcc-10-10.2.1/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-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: 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
5600x s onednn: Deconvolution Batch shapes_1d - f32 - CPU sysbench: CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU sysbench: RAM / Memory onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU 1 2 3 6.54830 35668.15 3852.59 3853.33 3845.26 2199.43 2202.60 2198.80 2.34701 4.21332 1.79837 16.9850 2.50845 3.09227 10.3621 1.76426 21.0331 22058.62 7.43471 3.86561 6.68868 35670.71 3849.16 3850.92 3847.97 2198.47 2197.83 2197.21 2.34952 4.19463 1.79867 16.9944 2.49156 3.09458 10.3024 1.75512 20.9934 21958.50 7.44044 3.88981 7.23395 35672.42 3855.04 3847.38 3843.00 2202.12 2200.55 2199.59 2.34982 4.19329 1.79549 16.9593 2.47878 3.09158 10.3047 1.75632 20.9591 22037.31 7.43837 3.87551 OpenBenchmarking.org
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.14848, N = 15 SE +/- 0.12559, N = 15 SE +/- 0.31077, N = 12 6.54830 6.68868 7.23395 MIN: 5.31 MIN: 5.3 MIN: 5.33 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Sysbench Test: CPU OpenBenchmarking.org Events Per Second, More Is Better Sysbench 1.0.20 Test: CPU 1 2 3 8K 16K 24K 32K 40K SE +/- 1.25, N = 3 SE +/- 0.52, N = 3 SE +/- 1.94, N = 3 35668.15 35670.71 35672.42 1. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 1 2 3 800 1600 2400 3200 4000 SE +/- 3.32, N = 3 SE +/- 1.46, N = 3 SE +/- 2.25, N = 3 3852.59 3849.16 3855.04 MIN: 3836.73 MIN: 3834.01 MIN: 3843.44 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 800 1600 2400 3200 4000 SE +/- 1.28, N = 3 SE +/- 1.80, N = 3 SE +/- 1.40, N = 3 3853.33 3850.92 3847.38 MIN: 3843.66 MIN: 3841.15 MIN: 3832.5 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 1 2 3 800 1600 2400 3200 4000 SE +/- 0.83, N = 3 SE +/- 1.69, N = 3 SE +/- 3.44, N = 3 3845.26 3847.97 3843.00 MIN: 3834.69 MIN: 3832.17 MIN: 3830.07 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 1 2 3 500 1000 1500 2000 2500 SE +/- 3.48, N = 3 SE +/- 3.46, N = 3 SE +/- 1.81, N = 3 2199.43 2198.47 2202.12 MIN: 2186.56 MIN: 2188.64 MIN: 2188.91 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 1 2 3 500 1000 1500 2000 2500 SE +/- 0.76, N = 3 SE +/- 3.37, N = 3 SE +/- 1.93, N = 3 2202.60 2197.83 2200.55 MIN: 2195.91 MIN: 2188.28 MIN: 2191.04 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 500 1000 1500 2000 2500 SE +/- 1.00, N = 3 SE +/- 1.58, N = 3 SE +/- 1.09, N = 3 2198.80 2197.21 2199.59 MIN: 2191.61 MIN: 2188.31 MIN: 2192.65 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.5287 1.0574 1.5861 2.1148 2.6435 SE +/- 0.00198, N = 3 SE +/- 0.00265, N = 3 SE +/- 0.00389, N = 3 2.34701 2.34952 2.34982 MIN: 2.27 MIN: 2.25 MIN: 2.25 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 1 2 3 0.948 1.896 2.844 3.792 4.74 SE +/- 0.00872, N = 3 SE +/- 0.00276, N = 3 SE +/- 0.00469, N = 3 4.21332 4.19463 4.19329 MIN: 3.86 MIN: 3.9 MIN: 3.89 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.4047 0.8094 1.2141 1.6188 2.0235 SE +/- 0.00273, N = 3 SE +/- 0.00435, N = 3 SE +/- 0.00339, N = 3 1.79837 1.79867 1.79549 MIN: 1.72 MIN: 1.72 MIN: 1.72 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 15 16.99 16.99 16.96 MIN: 15.84 MIN: 15.66 MIN: 15.46 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 1 2 3 0.5644 1.1288 1.6932 2.2576 2.822 SE +/- 0.00313, N = 3 SE +/- 0.00013, N = 3 SE +/- 0.00392, N = 3 2.50845 2.49156 2.47878 MIN: 2.45 MIN: 2.44 MIN: 2.43 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.6963 1.3926 2.0889 2.7852 3.4815 SE +/- 0.00181, N = 3 SE +/- 0.00482, N = 3 SE +/- 0.00201, N = 3 3.09227 3.09458 3.09158 MIN: 2.97 MIN: 2.98 MIN: 2.98 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 1 2 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 10.36 10.30 10.30 MIN: 10.18 MIN: 10.16 MIN: 10.12 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.397 0.794 1.191 1.588 1.985 SE +/- 0.01303, N = 3 SE +/- 0.00162, N = 3 SE +/- 0.00854, N = 3 1.76426 1.75512 1.75632 MIN: 1.62 MIN: 1.59 MIN: 1.6 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 1 2 3 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 21.03 20.99 20.96 MIN: 19.52 MIN: 19.53 MIN: 19.52 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Sysbench Test: RAM / Memory OpenBenchmarking.org MiB/sec, More Is Better Sysbench 1.0.20 Test: RAM / Memory 1 2 3 5K 10K 15K 20K 25K SE +/- 3.35, N = 3 SE +/- 49.01, N = 3 SE +/- 22.76, N = 3 22058.62 21958.50 22037.31 1. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.00220, N = 3 SE +/- 0.00275, N = 3 SE +/- 0.00747, N = 3 7.43471 7.44044 7.43837 MIN: 7.22 MIN: 7.21 MIN: 7.24 1. (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.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.8752 1.7504 2.6256 3.5008 4.376 SE +/- 0.01510, N = 3 SE +/- 0.01672, N = 3 SE +/- 0.01281, N = 3 3.86561 3.88981 3.87551 MIN: 3.61 MIN: 3.64 MIN: 3.66 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Phoronix Test Suite v10.8.5