3300X oneDNN SVT Stuff AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2103158-HA-3300XONED31&grs&rdt .
3300X oneDNN SVT Stuff 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 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads) MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) AMD Starship/Matisse 8GB 256GB INTEL SSDPEKKW256G7 AMD FirePro V3800 512MB AMD Redwood HDMI Audio DELL S2409W Realtek RTL8111/8168/8411 Ubuntu 20.04 5.9.0-rc5-14sep-patch (x86_64) 20200914 GNOME Shell 3.36.4 X Server 1.20.9 3.3 Mesa 20.0.8 (LLVM 10.0.0) GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise 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 ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
3300X oneDNN SVT Stuff onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU svt-vp9: VMAF Optimized - Bosphorus 1080p sysbench: RAM / Memory onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU svt-vp9: Visual Quality Optimized - Bosphorus 1080p onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU svt-hevc: 1 - Bosphorus 1080p onednn: Recurrent Neural Network Training - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU svt-hevc: 7 - Bosphorus 1080p svt-hevc: 10 - Bosphorus 1080p sysbench: CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU 1 2 3 10.4017 2.73839 108.00 16393.95 4.91753 21.7320 110.67 22.6564 6.78051 11.3315 87.76 6032.29 6.79725 3101.94 3113.93 6.09889 5.02827 6030.31 3109.22 4.03 5993.82 9.15795 62.02 133.19 8918.82 11.04320 10.4706 2.71709 109.62 16345.46 4.90848 21.8783 110.57 22.5345 6.75096 11.3471 88.03 6025.13 6.78850 3107.96 3110.22 6.11621 5.03340 6010.23 3118.20 4.04 5983.99 9.17290 61.91 133.04 8918.55 13.0095 10.2441 2.68835 109.10 16159.08 4.88115 21.7457 111.25 22.6150 6.78600 11.2956 87.67 6008.78 6.77109 3113.52 3102.45 6.12141 5.01653 6015.97 3119.40 4.04 5981.79 9.15620 61.92 133.20 8921.34 13.0919 OpenBenchmarking.org
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 +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 10.40 10.47 10.24 MIN: 10.22 MIN: 10.32 MIN: 10.04 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 0.6161 1.2322 1.8483 2.4644 3.0805 SE +/- 0.02085, N = 3 SE +/- 0.01683, N = 3 SE +/- 0.02173, N = 3 2.73839 2.71709 2.68835 MIN: 2.39 MIN: 2.39 MIN: 2.34 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-VP9 Tuning: VMAF Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p 1 2 3 20 40 60 80 100 SE +/- 1.12, N = 3 SE +/- 0.39, N = 3 SE +/- 0.22, N = 3 108.00 109.62 109.10 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Sysbench Test: RAM / Memory OpenBenchmarking.org MiB/sec, More Is Better Sysbench 1.0.20 Test: RAM / Memory 1 2 3 4K 8K 12K 16K 20K SE +/- 34.72, N = 3 SE +/- 36.56, N = 3 SE +/- 257.28, N = 3 16393.95 16345.46 16159.08 1. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
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 1.1064 2.2128 3.3192 4.4256 5.532 SE +/- 0.02875, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.00783, N = 3 4.91753 4.90848 4.88115 MIN: 4.74 MIN: 4.73 MIN: 4.74 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 +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 21.73 21.88 21.75 MIN: 21.32 MIN: 21.34 MIN: 21.34 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-VP9 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p 1 2 3 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 110.67 110.57 111.25 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
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 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 22.66 22.53 22.62 MIN: 21.83 MIN: 21.82 MIN: 21.87 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 2 4 6 8 10 SE +/- 0.00993, N = 3 SE +/- 0.00381, N = 3 SE +/- 0.03383, N = 3 6.78051 6.75096 6.78600 MIN: 6.54 MIN: 6.52 MIN: 6.48 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: 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 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 11.33 11.35 11.30 MIN: 11.07 MIN: 11.05 MIN: 11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-VP9 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p 1 2 3 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 87.76 88.03 87.67 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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 1300 2600 3900 5200 6500 SE +/- 9.85, N = 3 SE +/- 1.80, N = 3 SE +/- 9.07, N = 3 6032.29 6025.13 6008.78 MIN: 5963.68 MIN: 5961.24 MIN: 5954.04 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 2 4 6 8 10 SE +/- 0.01459, N = 3 SE +/- 0.02051, N = 3 SE +/- 0.01342, N = 3 6.79725 6.78850 6.77109 MIN: 6.54 MIN: 6.55 MIN: 6.54 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 3 700 1400 2100 2800 3500 SE +/- 11.59, N = 3 SE +/- 2.08, N = 3 SE +/- 9.34, N = 3 3101.94 3107.96 3113.52 MIN: 3058.41 MIN: 3073 MIN: 3078.02 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 3 700 1400 2100 2800 3500 SE +/- 4.61, N = 3 SE +/- 2.85, N = 3 SE +/- 6.91, N = 3 3113.93 3110.22 3102.45 MIN: 3078.41 MIN: 3064.84 MIN: 3067.54 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 2 4 6 8 10 SE +/- 0.02165, N = 3 SE +/- 0.02430, N = 3 SE +/- 0.02421, N = 3 6.09889 6.11621 6.12141 MIN: 5.9 MIN: 5.92 MIN: 5.92 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 1.1325 2.265 3.3975 4.53 5.6625 SE +/- 0.01117, N = 3 SE +/- 0.01604, N = 3 SE +/- 0.00923, N = 3 5.02827 5.03340 5.01653 MIN: 4.89 MIN: 4.9 MIN: 4.88 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 1300 2600 3900 5200 6500 SE +/- 2.70, N = 3 SE +/- 7.25, N = 3 SE +/- 17.06, N = 3 6030.31 6010.23 6015.97 MIN: 5964.79 MIN: 5940.42 MIN: 5932.88 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 3 700 1400 2100 2800 3500 SE +/- 5.50, N = 3 SE +/- 6.83, N = 3 SE +/- 4.28, N = 3 3109.22 3118.20 3119.40 MIN: 3068.21 MIN: 3081.35 MIN: 3075.08 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-HEVC Tuning: 1 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p 1 2 3 0.909 1.818 2.727 3.636 4.545 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 4.03 4.04 4.04 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
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 1300 2600 3900 5200 6500 SE +/- 24.14, N = 3 SE +/- 10.53, N = 3 SE +/- 15.20, N = 3 5993.82 5983.99 5981.79 MIN: 5896.31 MIN: 5903.92 MIN: 5900.15 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 3 6 9 12 15 SE +/- 0.04201, N = 3 SE +/- 0.02925, N = 3 SE +/- 0.05208, N = 3 9.15795 9.17290 9.15620 MIN: 8.8 MIN: 8.82 MIN: 8.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-HEVC Tuning: 7 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p 1 2 3 14 28 42 56 70 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 62.02 61.91 61.92 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-HEVC Tuning: 10 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p 1 2 3 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.44, N = 3 SE +/- 0.09, N = 3 133.19 133.04 133.20 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Sysbench Test: CPU OpenBenchmarking.org Events Per Second, More Is Better Sysbench 1.0.20 Test: CPU 1 2 3 2K 4K 6K 8K 10K SE +/- 2.49, N = 3 SE +/- 2.00, N = 3 SE +/- 0.88, N = 3 8918.82 8918.55 8921.34 1. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
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 3 6 9 12 15 SE +/- 0.48, N = 15 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 11.04 13.01 13.09 MIN: 8.76 MIN: 8.85 MIN: 8.86 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Phoronix Test Suite v10.8.5