5950X xx AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2101147-HA-5950XXX6316&sor .
5950X xx Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution 1 2 3 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 Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz) AMD Navi 10 HDMI Audio ASUS MG28U Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 20.10 5.11.0-051100rc2daily20210108-generic (x86_64) 20210107 GNOME Shell 3.38.1 X Server 1.20.9 amdgpu 19.1.0 4.6 Mesa 21.0.0-devel (git-f01bca8 2021-01-08 groovy-oibaf-ppa) (LLVM 11.0.1) 1.2.164 GCC 10.2.0 ext4 3840x2160 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++,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: 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
5950X xx qe: AUSURF112 relion: Basic - CPU lammps: 20k Atoms lammps: Rhodopsin Protein lulesh: rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 1 2 3 1204.29 1859.694 13.477 13.270 5091.9772 0.546 1.483 1.966 3.482 5.145 23.929 3.332 2.488 30.889 216.072 209.894 1204.14 1864.299 13.572 13.472 5123.7009 0.547 1.500 1.939 3.481 5.160 23.009 3.294 2.386 30.949 217.795 209.394 1203.72 1866.943 13.446 13.034 4979.5138 0.544 1.487 1.941 3.374 5.138 23.925 3.316 2.453 30.973 220.439 212.095 OpenBenchmarking.org
Quantum ESPRESSO Input: AUSURF112 OpenBenchmarking.org Seconds, Fewer Is Better Quantum ESPRESSO 6.7 Input: AUSURF112 3 2 1 300 600 900 1200 1500 SE +/- 2.69, N = 3 SE +/- 1.58, N = 3 SE +/- 0.84, N = 3 1203.72 1204.14 1204.29 1. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
RELION Test: Basic - Device: CPU OpenBenchmarking.org Seconds, Fewer Is Better RELION 3.1.1 Test: Basic - Device: CPU 1 2 3 400 800 1200 1600 2000 SE +/- 5.21, N = 3 SE +/- 2.02, N = 3 SE +/- 2.00, N = 3 1859.69 1864.30 1866.94 1. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms 2 1 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 13.57 13.48 13.45 1. (CXX) g++ options: -O3 -pthread -lm
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein 2 1 3 3 6 9 12 15 SE +/- 0.08, N = 3 SE +/- 0.13, N = 15 SE +/- 0.14, N = 15 13.47 13.27 13.03 1. (CXX) g++ options: -O3 -pthread -lm
LULESH OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 2 1 3 1100 2200 3300 4400 5500 SE +/- 35.06, N = 3 SE +/- 67.46, N = 13 SE +/- 170.21, N = 12 5123.70 5091.98 4979.51 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 1 2 1 3 0.1231 0.2462 0.3693 0.4924 0.6155 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 0.547 0.546 0.544
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 5 2 3 1 0.3375 0.675 1.0125 1.35 1.6875 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 1.500 1.487 1.483
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 1 3 2 0.4424 0.8848 1.3272 1.7696 2.212 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 1.966 1.941 1.939
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 10 1 2 3 0.7835 1.567 2.3505 3.134 3.9175 SE +/- 0.036, N = 15 SE +/- 0.030, N = 15 SE +/- 0.034, N = 3 3.482 3.481 3.374
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 3 1 2 1.161 2.322 3.483 4.644 5.805 SE +/- 0.043, N = 8 SE +/- 0.059, N = 15 SE +/- 0.058, N = 3 5.138 5.145 5.160 MIN: 4.87 / MAX: 14.5 MIN: 4.59 / MAX: 14.29 MIN: 4.99 / MAX: 13.62 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: resnet-v2-50 2 3 1 6 12 18 24 30 SE +/- 0.58, N = 3 SE +/- 0.06, N = 8 SE +/- 0.14, N = 15 23.01 23.93 23.93 MIN: 21.64 / MAX: 31.4 MIN: 22.09 / MAX: 33.12 MIN: 21.6 / MAX: 34.1 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 2 3 1 0.7497 1.4994 2.2491 2.9988 3.7485 SE +/- 0.035, N = 3 SE +/- 0.027, N = 8 SE +/- 0.027, N = 15 3.294 3.316 3.332 MIN: 3.17 / MAX: 3.85 MIN: 3.09 / MAX: 12.03 MIN: 2.96 / MAX: 12.31 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 2 3 1 0.5598 1.1196 1.6794 2.2392 2.799 SE +/- 0.043, N = 3 SE +/- 0.033, N = 8 SE +/- 0.020, N = 15 2.386 2.453 2.488 MIN: 2.28 / MAX: 3.12 MIN: 2.29 / MAX: 3.69 MIN: 2.28 / MAX: 11.43 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 1 2 3 7 14 21 28 35 SE +/- 0.20, N = 15 SE +/- 0.40, N = 3 SE +/- 0.23, N = 8 30.89 30.95 30.97 MIN: 28.69 / MAX: 40.49 MIN: 29.47 / MAX: 39.06 MIN: 29.68 / MAX: 39.15 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 1 2 3 50 100 150 200 250 SE +/- 1.61, N = 3 SE +/- 1.82, N = 3 SE +/- 3.18, N = 3 216.07 217.80 220.44 MIN: 211.9 / MAX: 251.07 MIN: 211.75 / MAX: 262.59 MIN: 212.2 / MAX: 308.1 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 2 1 3 50 100 150 200 250 SE +/- 0.66, N = 3 SE +/- 0.16, N = 3 SE +/- 0.38, N = 3 209.39 209.89 212.10 MIN: 207.97 / MAX: 210.21 MIN: 209.47 / MAX: 210.34 MIN: 211.61 / MAX: 213.25 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Phoronix Test Suite v10.8.4