5800X Thurs

AMD Ryzen 7 5800X 8-Core testing with a ASRock X570 Pro4 (P3.40 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 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 2101155-HA-5800XTHUR94
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Scientific Computing 4 Tests

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5800X ThursProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)ASRock X570 Pro4 (P3.40 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 PlusSapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz)AMD Ellesmere HDMI AudioLG Ultra HDIntel I211Ubuntu 20.105.11.0-rc1-phx (x86_64) 20201228GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext41920x1080OpenBenchmarking.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: 0xa201009Python Details- Python 3.8.6Security 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%102%103%CloverLeafrav1eTNNLAMMPS Molecular Dynamics SimulatorTimed Godot Game Engine CompilationMobile Neural NetworkLULESHQuantum ESPRESSORELION

5800X Thursrav1e: 10rav1e: 1rav1e: 5rav1e: 6lammps: Rhodopsin Proteinlulesh: mnn: MobileNetV2_224tnn: CPU - MobileNet v2mnn: inception-v3mnn: mobilenet-v1-1.0tnn: CPU - SqueezeNet v1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0build-godot: Time To Compileqe: AUSURF112relion: Basic - CPUcloverleaf: Lagrangian-Eulerian Hydrodynamics1233.8960.5421.4631.9527.6124499.50051.920215.67124.1151.897212.75120.0853.869126.4501524.162009.872169.994.1340.5431.4821.9827.6244498.06991.920216.94623.5691.895216.25320.0163.904126.9731521.572018.680177.463.8850.5431.4801.9717.5894493.17841.913217.41123.7531.912214.96220.1153.848126.7691525.742006.752176.61OpenBenchmarking.org

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: 101230.93021.86042.79063.72084.651SE +/- 0.057, N = 4SE +/- 0.055, N = 3SE +/- 0.018, N = 33.8964.1343.885
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 3.74 / Avg: 3.9 / Max: 3.98Min: 4.03 / Avg: 4.13 / Max: 4.2Min: 3.86 / Avg: 3.89 / Max: 3.92

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11230.12220.24440.36660.48880.611SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 30.5420.5430.543
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.55Min: 0.54 / Avg: 0.54 / Max: 0.55

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.33350.6671.00051.3341.6675SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.007, N = 31.4631.4821.480
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 1.45 / Avg: 1.46 / Max: 1.47Min: 1.47 / Avg: 1.48 / Max: 1.5Min: 1.47 / Avg: 1.48 / Max: 1.49

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.4460.8921.3381.7842.23SE +/- 0.007, N = 3SE +/- 0.018, N = 3SE +/- 0.018, N = 31.9521.9821.971
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.94 / Avg: 1.95 / Max: 1.96Min: 1.96 / Avg: 1.98 / Max: 2.02Min: 1.94 / Avg: 1.97 / Max: 2

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: Rhodopsin Protein123246810SE +/- 0.020, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 37.6127.6247.5891. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215Min: 7.58 / Avg: 7.61 / Max: 7.65Min: 7.61 / Avg: 7.62 / Max: 7.64Min: 7.58 / Avg: 7.59 / Max: 7.611. (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 2.0.312310002000300040005000SE +/- 46.83, N = 3SE +/- 41.28, N = 3SE +/- 43.38, N = 34499.504498.074493.181. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31238001600240032004000Min: 4406.12 / Avg: 4499.5 / Max: 4552.42Min: 4416.37 / Avg: 4498.07 / Max: 4549.27Min: 4406.63 / Avg: 4493.18 / Max: 4541.821. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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: MobileNetV2_2241230.4320.8641.2961.7282.16SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 31.9201.9201.913MIN: 1.81 / MAX: 11.57MIN: 1.81 / MAX: 11.51MIN: 1.8 / MAX: 2.71. (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: 1.91 / Avg: 1.92 / Max: 1.93Min: 1.91 / Avg: 1.92 / Max: 1.93Min: 1.91 / Avg: 1.91 / Max: 1.921. (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 +/- 0.31, N = 3SE +/- 1.49, N = 3SE +/- 0.72, N = 3215.67216.95217.41MIN: 213.82 / MAX: 224.63MIN: 212.59 / MAX: 223.55MIN: 215.1 / MAX: 227.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21234080120160200Min: 215.34 / Avg: 215.67 / Max: 216.29Min: 214.01 / Avg: 216.95 / Max: 218.9Min: 216.56 / Avg: 217.41 / Max: 218.841. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: inception-v3123612182430SE +/- 0.32, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 324.1223.5723.75MIN: 23.18 / MAX: 33.69MIN: 22.99 / MAX: 32.92MIN: 23.05 / MAX: 33.341. (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-v3123612182430Min: 23.73 / Avg: 24.11 / Max: 24.76Min: 23.45 / Avg: 23.57 / Max: 23.64Min: 23.49 / Avg: 23.75 / Max: 24.11. (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-v1-1.01230.43020.86041.29061.72082.151SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 31.8971.8951.912MIN: 1.79 / MAX: 2.58MIN: 1.79 / MAX: 2.77MIN: 1.8 / MAX: 11.71. (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: 1.89 / Avg: 1.9 / Max: 1.9Min: 1.89 / Avg: 1.89 / Max: 1.9Min: 1.9 / Avg: 1.91 / Max: 1.921. (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: SqueezeNet v1.112350100150200250SE +/- 1.02, N = 3SE +/- 0.19, N = 3SE +/- 0.80, N = 3212.75216.25214.96MIN: 211.36 / MAX: 215.07MIN: 215.64 / MAX: 216.75MIN: 213.86 / MAX: 217.121. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 211.58 / Avg: 212.75 / Max: 214.79Min: 215.92 / Avg: 216.25 / Max: 216.58Min: 214.14 / Avg: 214.96 / Max: 216.571. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: resnet-v2-50123510152025SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.10, N = 320.0920.0220.12MIN: 19.06 / MAX: 29.71MIN: 18.91 / MAX: 28.25MIN: 19.2 / MAX: 29.81. (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-v2-50123510152025Min: 20.01 / Avg: 20.08 / Max: 20.23Min: 20.01 / Avg: 20.02 / Max: 20.02Min: 20.01 / Avg: 20.12 / Max: 20.311. (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: SqueezeNetV1.01230.87841.75682.63523.51364.392SE +/- 0.016, N = 3SE +/- 0.024, N = 3SE +/- 0.020, N = 33.8693.9043.848MIN: 3.57 / MAX: 13.32MIN: 3.65 / MAX: 4.98MIN: 3.57 / MAX: 13.381. (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: 3.84 / Avg: 3.87 / Max: 3.89Min: 3.87 / Avg: 3.9 / Max: 3.95Min: 3.81 / Avg: 3.85 / Max: 3.881. (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

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile123306090120150SE +/- 0.16, N = 3SE +/- 0.37, N = 3SE +/- 0.36, N = 3126.45126.97126.77
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12320406080100Min: 126.14 / Avg: 126.45 / Max: 126.64Min: 126.31 / Avg: 126.97 / Max: 127.6Min: 126.07 / Avg: 126.77 / Max: 127.24

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 +/- 1.60, N = 3SE +/- 1.22, N = 3SE +/- 4.40, N = 31524.161521.571525.741. (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: AUSURF11212330060090012001500Min: 1521.11 / Avg: 1524.16 / Max: 1526.52Min: 1519.83 / Avg: 1521.57 / Max: 1523.92Min: 1517.91 / Avg: 1525.74 / Max: 1533.131. (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 +/- 2.75, N = 3SE +/- 5.20, N = 3SE +/- 2.93, N = 32009.872018.682006.751. (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: CPU123400800120016002000Min: 2005.57 / Avg: 2009.87 / Max: 2015Min: 2009.13 / Avg: 2018.68 / Max: 2027.01Min: 2001.29 / Avg: 2006.75 / Max: 2011.311. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234080120160200SE +/- 0.40, N = 3SE +/- 0.06, N = 3SE +/- 0.28, N = 3169.99177.46176.611. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics123306090120150Min: 169.34 / Avg: 169.99 / Max: 170.72Min: 177.37 / Avg: 177.46 / Max: 177.56Min: 176.06 / Avg: 176.61 / Max: 176.951. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp