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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101147-HA-5950XXX6316
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5950X xxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.105.11.0-051100rc2daily20210108-generic (x86_64) 20210107GNOME Shell 3.38.1X Server 1.20.9amdgpu 19.1.04.6 Mesa 21.0.0-devel (git-f01bca8 2021-01-08 groovy-oibaf-ppa) (LLVM 11.0.1)1.2.164GCC 10.2.0ext43840x2160OpenBenchmarking.orgCompiler 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: 0xa201009Security 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

123Result OverviewPhoronix Test Suite 10.2.2100%101%101%102%103%LULESHLAMMPS Molecular Dynamics SimulatorMobile Neural NetworkTNNrav1eQuantum ESPRESSORELION

5950X xxqe: AUSURF112relion: Basic - CPUlammps: 20k Atomslammps: Rhodopsin Proteinlulesh: rav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.11231204.291859.69413.47713.2705091.97720.5461.4831.9663.4825.14523.9293.3322.48830.889216.072209.8941204.141864.29913.57213.4725123.70090.5471.5001.9393.4815.16023.0093.2942.38630.949217.795209.3941203.721866.94313.44613.0344979.51380.5441.4871.9413.3745.13823.9253.3162.45330.973220.439212.095OpenBenchmarking.org

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF11212330060090012001500SE +/- 0.84, N = 3SE +/- 1.58, N = 3SE +/- 2.69, N = 31204.291204.141203.721. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1121232004006008001000Min: 1203.13 / Avg: 1204.29 / Max: 1205.93Min: 1201.47 / Avg: 1204.14 / Max: 1206.95Min: 1200.61 / Avg: 1203.72 / Max: 1209.071. (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

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU123400800120016002000SE +/- 5.21, N = 3SE +/- 2.02, N = 3SE +/- 2.00, N = 31859.691864.301866.941. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU12330060090012001500Min: 1851.88 / Avg: 1859.69 / Max: 1869.57Min: 1860.81 / Avg: 1864.3 / Max: 1867.82Min: 1864.62 / Avg: 1866.94 / Max: 1870.921. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms1233691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 313.4813.5713.451. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms12348121620Min: 13.42 / Avg: 13.48 / Max: 13.57Min: 13.53 / Avg: 13.57 / Max: 13.61Min: 13.34 / Avg: 13.45 / Max: 13.51. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215SE +/- 0.13, N = 15SE +/- 0.08, N = 3SE +/- 0.14, N = 1513.2713.4713.031. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12348121620Min: 12.39 / Avg: 13.27 / Max: 13.85Min: 13.32 / Avg: 13.47 / Max: 13.56Min: 11.74 / Avg: 13.03 / Max: 13.641. (CXX) g++ options: -O3 -pthread -lm

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.312311002200330044005500SE +/- 67.46, N = 13SE +/- 35.06, N = 3SE +/- 170.21, N = 125091.985123.704979.511. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31239001800270036004500Min: 4306.04 / Avg: 5091.98 / Max: 5217.36Min: 5064.44 / Avg: 5123.7 / Max: 5185.79Min: 3113.52 / Avg: 4979.51 / Max: 5193.331. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11230.12310.24620.36930.49240.6155SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5460.5470.544
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123246810Min: 0.54 / Avg: 0.55 / Max: 0.55Min: 0.55 / Avg: 0.55 / Max: 0.55Min: 0.54 / Avg: 0.54 / Max: 0.55

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.33750.6751.01251.351.6875SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 31.4831.5001.487
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 1.48 / Avg: 1.48 / Max: 1.49Min: 1.5 / Avg: 1.5 / Max: 1.51Min: 1.48 / Avg: 1.49 / Max: 1.5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.44240.88481.32721.76962.212SE +/- 0.013, N = 3SE +/- 0.015, N = 3SE +/- 0.013, N = 31.9661.9391.941
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.94 / Avg: 1.97 / Max: 1.98Min: 1.91 / Avg: 1.94 / Max: 1.96Min: 1.92 / Avg: 1.94 / Max: 1.96

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.78351.5672.35053.1343.9175SE +/- 0.036, N = 15SE +/- 0.030, N = 15SE +/- 0.034, N = 33.4823.4813.374
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 3.27 / Avg: 3.48 / Max: 3.78Min: 3.28 / Avg: 3.48 / Max: 3.6Min: 3.33 / Avg: 3.37 / Max: 3.44

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.01231.1612.3223.4834.6445.805SE +/- 0.059, N = 15SE +/- 0.058, N = 3SE +/- 0.043, N = 85.1455.1605.138MIN: 4.59 / MAX: 14.29MIN: 4.99 / MAX: 13.62MIN: 4.87 / MAX: 14.51. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0123246810Min: 4.76 / Avg: 5.15 / Max: 5.74Min: 5.06 / Avg: 5.16 / Max: 5.26Min: 4.97 / Avg: 5.14 / Max: 5.331. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50123612182430SE +/- 0.14, N = 15SE +/- 0.58, N = 3SE +/- 0.06, N = 823.9323.0123.93MIN: 21.6 / MAX: 34.1MIN: 21.64 / MAX: 31.4MIN: 22.09 / MAX: 33.121. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50123612182430Min: 22.13 / Avg: 23.93 / Max: 24.64Min: 22.01 / Avg: 23.01 / Max: 24Min: 23.56 / Avg: 23.92 / Max: 24.141. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241230.74971.49942.24912.99883.7485SE +/- 0.027, N = 15SE +/- 0.035, N = 3SE +/- 0.027, N = 83.3323.2943.316MIN: 2.96 / MAX: 12.31MIN: 3.17 / MAX: 3.85MIN: 3.09 / MAX: 12.031. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224123246810Min: 3.03 / Avg: 3.33 / Max: 3.44Min: 3.22 / Avg: 3.29 / Max: 3.33Min: 3.21 / Avg: 3.32 / Max: 3.411. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.01230.55981.11961.67942.23922.799SE +/- 0.020, N = 15SE +/- 0.043, N = 3SE +/- 0.033, N = 82.4882.3862.453MIN: 2.28 / MAX: 11.43MIN: 2.28 / MAX: 3.12MIN: 2.29 / MAX: 3.691. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0123246810Min: 2.32 / Avg: 2.49 / Max: 2.61Min: 2.3 / Avg: 2.39 / Max: 2.43Min: 2.31 / Avg: 2.45 / Max: 2.591. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3123714212835SE +/- 0.20, N = 15SE +/- 0.40, N = 3SE +/- 0.23, N = 830.8930.9530.97MIN: 28.69 / MAX: 40.49MIN: 29.47 / MAX: 39.06MIN: 29.68 / MAX: 39.151. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3123714212835Min: 29.26 / Avg: 30.89 / Max: 32.07Min: 30.15 / Avg: 30.95 / Max: 31.44Min: 30.27 / Avg: 30.97 / Max: 32.011. (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

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250SE +/- 1.61, N = 3SE +/- 1.82, N = 3SE +/- 3.18, N = 3216.07217.80220.44MIN: 211.9 / MAX: 251.07MIN: 211.75 / MAX: 262.59MIN: 212.2 / MAX: 308.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21234080120160200Min: 212.86 / Avg: 216.07 / Max: 217.69Min: 214.16 / Avg: 217.79 / Max: 219.67Min: 214.75 / Avg: 220.44 / Max: 225.751. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.38, N = 3209.89209.39212.10MIN: 209.47 / MAX: 210.34MIN: 207.97 / MAX: 210.21MIN: 211.61 / MAX: 213.251. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 209.66 / Avg: 209.89 / Max: 210.2Min: 208.08 / Avg: 209.39 / Max: 210.06Min: 211.68 / Avg: 212.09 / Max: 212.841. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl


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