qkbnch AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS ELITE WIFI (F37c BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Gentoo Linux 2.8 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2205278-QUAR-QKBNCH365 .
qkbnch Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver Compiler File-System Screen Resolution AMD Ryzen 9 5950X 16-Core AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) Gigabyte X570 AORUS ELITE WIFI (F37c BIOS) AMD Starship/Matisse 4 x 8 GB DDR4-3200MT/s CMK16GX4M2Z3200C16 2 x 1000GB Samsung SSD 980 PRO 1TB eVGA NVIDIA GeForce GTX 1060 6GB NVIDIA GP106 HD Audio Intel I211 + Intel Dual Band-AC 3168NGW Gentoo Linux 2.8 5.18.0-gentoo-harambe-edition (x86_64) KDE Plasma 5.24.5 X Server 1.21.1.3 NVIDIA 510.73.05 GCC 11.2.1 20220115 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: madvise - --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/11.2.1 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.2.1 --disable-cet --disable-default-ssp --disable-esp --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-libvtv --disable-nls --disable-systemtap --disable-valgrind-annotations --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-host-shared --enable-languages=c,c++,go,jit,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-obsolete --enable-secureplt --enable-shared --enable-targets=all --enable-threads=posix --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/11.2.1/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.2.1/man --with-build-config=bootstrap-lto --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/11.2.1/python --with-zstd - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016 - 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: Vulnerable IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
qkbnch etcpak: DXT1 etcpak: ETC1 etcpak: ETC2 etcpak: ETC1 + Dithering dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 10 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 10 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU ffmpeg: H.264 HD To NTSC DV AMD Ryzen 9 5950X 16-Core 1615.826 384.967 239.249 345.961 776.08 288.59 1141.03 635.47 3.324 55.048 121.531 140.336 7.080 173.884 331.766 549.323 2.52419 5.15262 9.75642 3.76898 3.36770 1984.15 1252.78 1.578583 4.118 OpenBenchmarking.org
Etcpak Configuration: DXT1 OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: DXT1 AMD Ryzen 9 5950X 16-Core 300 600 900 1200 1500 SE +/- 7.13, N = 3 1615.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Etcpak Configuration: ETC1 OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 AMD Ryzen 9 5950X 16-Core 80 160 240 320 400 SE +/- 0.08, N = 3 384.97 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Etcpak Configuration: ETC2 OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC2 AMD Ryzen 9 5950X 16-Core 50 100 150 200 250 SE +/- 3.31, N = 3 239.25 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Etcpak Configuration: ETC1 + Dithering OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC1 + Dithering AMD Ryzen 9 5950X 16-Core 80 160 240 320 400 SE +/- 0.17, N = 3 345.96 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
dav1d Video Input: Chimera 1080p OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Chimera 1080p AMD Ryzen 9 5950X 16-Core 200 400 600 800 1000 SE +/- 2.71, N = 3 776.08 1. (CC) gcc options: -pthread -lm
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Summer Nature 4K AMD Ryzen 9 5950X 16-Core 60 120 180 240 300 SE +/- 0.41, N = 3 288.59 1. (CC) gcc options: -pthread -lm
dav1d Video Input: Summer Nature 1080p OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Summer Nature 1080p AMD Ryzen 9 5950X 16-Core 200 400 600 800 1000 SE +/- 8.54, N = 3 1141.03 1. (CC) gcc options: -pthread -lm
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Chimera 1080p 10-bit AMD Ryzen 9 5950X 16-Core 140 280 420 560 700 SE +/- 0.84, N = 3 635.47 1. (CC) gcc options: -pthread -lm
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 0.7479 1.4958 2.2437 2.9916 3.7395 SE +/- 0.011, N = 3 3.324 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 12 24 36 48 60 SE +/- 0.06, N = 3 55.05 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 30 60 90 120 150 SE +/- 0.60, N = 3 121.53 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K AMD Ryzen 9 5950X 16-Core 30 60 90 120 150 SE +/- 0.13, N = 3 140.34 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p AMD Ryzen 9 5950X 16-Core 2 4 6 8 10 SE +/- 0.055, N = 3 7.080 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p AMD Ryzen 9 5950X 16-Core 40 80 120 160 200 SE +/- 0.60, N = 3 173.88 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 10 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 10 - Input: Bosphorus 1080p AMD Ryzen 9 5950X 16-Core 70 140 210 280 350 SE +/- 0.71, N = 3 331.77 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p AMD Ryzen 9 5950X 16-Core 120 240 360 480 600 SE +/- 1.47, N = 3 549.32 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 0.5679 1.1358 1.7037 2.2716 2.8395 SE +/- 0.01706, N = 3 2.52419 MIN: 2.36 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 1.1593 2.3186 3.4779 4.6372 5.7965 SE +/- 0.00615, N = 3 5.15262 MIN: 5.01 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.01605, N = 3 9.75642 MIN: 9.58 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 0.848 1.696 2.544 3.392 4.24 SE +/- 0.07450, N = 13 3.76898 MIN: 3 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 0.7577 1.5154 2.2731 3.0308 3.7885 SE +/- 0.00619, N = 3 3.36770 MIN: 3.21 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 400 800 1200 1600 2000 SE +/- 12.28, N = 3 1984.15 MIN: 1946.27 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 300 600 900 1200 1500 SE +/- 9.95, N = 3 1252.78 MIN: 1219.37 1. (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.org ms, Fewer Is Better oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU AMD Ryzen 9 5950X 16-Core 0.3552 0.7104 1.0656 1.4208 1.776 SE +/- 0.175266, N = 15 1.578583 MIN: 0.74 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
FFmpeg H.264 HD To NTSC DV OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV AMD Ryzen 9 5950X 16-Core 0.9266 1.8532 2.7798 3.7064 4.633 SE +/- 0.027, N = 3 4.118 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lxcb-shm -lxcb-shape -lxcb-xfixes -lasound -lSDL2 -lsndio -pthread -lbz2 -llzma -lvdpau -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
Phoronix Test Suite v10.8.4