7F72 2P Weekend

2 x AMD EPYC 7F72 24-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe 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 2101169-HA-7F722PWEE06
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HPC - High Performance Computing 7 Tests
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Scientific Computing 4 Tests

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January 15 2021
  5 Hours, 39 Minutes
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January 16 2021
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January 16 2021
  6 Hours, 16 Minutes
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January 16 2021
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7F72 2P WeekendProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution12342 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse126GB1000GB Western Digital WD_BLACK SN850 1TBllvmpipeVE2282 x Intel 10G X550TUbuntu 20.105.11.0-rc2-phx (x86_64) 20210108GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits)GCC 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: 0x8301034 Python 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

7F72 2P Weekendcloverleaf: Lagrangian-Eulerian Hydrodynamicsqe: AUSURF112relion: Basic - CPUlammps: 20k Atomslammps: Rhodopsin Proteinlulesh: rav1e: 1rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilesynthmark: VoiceMark_100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1123420.971380.78646.12524.68921.11514997.8510.3591.0191.3342.85360.702712.73213.82740.99119.0655.56339.671299.129275.07620.161245.47348.49825.03824.71020003.9290.3701.0411.3582.86759.922714.70515.30144.15820.4925.64040.175292.154274.17220.621231.57345.68624.99124.53219740.7100.3691.0401.3572.84259.789713.91515.39642.20817.8266.21739.915288.149274.12020.16OpenBenchmarking.org

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 Hydrodynamics2431510152025SE +/- 0.68, N = 12SE +/- 0.57, N = 13SE +/- 0.42, N = 15SE +/- 0.20, N = 320.1620.1620.6220.971. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics2431510152025Min: 16.46 / Avg: 20.16 / Max: 24.83Min: 18.22 / Avg: 20.16 / Max: 26.25Min: 19.19 / Avg: 20.62 / Max: 24.58Min: 20.61 / Avg: 20.97 / Max: 21.311. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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: AUSURF11232130060090012001500SE +/- 18.08, N = 9SE +/- 17.76, N = 3SE +/- 38.41, N = 61231.571245.471380.781. (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: AUSURF1123212004006008001000Min: 1163.32 / Avg: 1231.57 / Max: 1308.39Min: 1211.27 / Avg: 1245.47 / Max: 1270.89Min: 1258.08 / Avg: 1380.78 / Max: 1527.651. (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: CPU321140280420560700SE +/- 0.18, N = 3SE +/- 3.06, N = 9SE +/- 0.63, N = 3345.69348.50646.131. (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: CPU321110220330440550Min: 345.32 / Avg: 345.69 / Max: 345.9Min: 344.88 / Avg: 348.5 / Max: 372.96Min: 645.22 / Avg: 646.12 / Max: 647.331. (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 Atoms231612182430SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 325.0424.9924.691. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms231612182430Min: 25.01 / Avg: 25.04 / Max: 25.07Min: 24.92 / Avg: 24.99 / Max: 25.03Min: 24.64 / Avg: 24.69 / Max: 24.751. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein231612182430SE +/- 0.28, N = 4SE +/- 0.18, N = 15SE +/- 0.41, N = 1524.7124.5321.121. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein231612182430Min: 24.33 / Avg: 24.71 / Max: 25.52Min: 23.3 / Avg: 24.53 / Max: 25.18Min: 19.58 / Avg: 21.11 / Max: 25.411. (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 2.0.32314K8K12K16K20KSE +/- 92.11, N = 3SE +/- 62.88, N = 3SE +/- 309.05, N = 1220003.9319740.7114997.851. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.32313K6K9K12K15KMin: 19853.64 / Avg: 20003.93 / Max: 20171.35Min: 19671.1 / Avg: 19740.71 / Max: 19866.23Min: 11636.59 / Avg: 14997.85 / Max: 15572.321. (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: 12310.08330.16660.24990.33320.4165SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 30.3700.3690.359
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 123112345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.35 / Avg: 0.36 / Max: 0.36

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 52310.23420.46840.70260.93681.171SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.013, N = 31.0411.0401.019
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5231246810Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 1.04 / Avg: 1.04 / Max: 1.05Min: 1 / Avg: 1.02 / Max: 1.04

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 62310.30560.61120.91681.22241.528SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.3581.3571.334
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6231246810Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 1.35 / Avg: 1.36 / Max: 1.36Min: 1.33 / Avg: 1.33 / Max: 1.34

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 102130.64511.29021.93532.58043.2255SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.033, N = 42.8672.8532.842
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10213246810Min: 2.86 / Avg: 2.87 / Max: 2.89Min: 2.85 / Avg: 2.85 / Max: 2.86Min: 2.74 / Avg: 2.84 / Max: 2.89

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 Compile3211428425670SE +/- 0.35, N = 3SE +/- 0.16, N = 3SE +/- 0.26, N = 359.7959.9260.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile3211224364860Min: 59.13 / Avg: 59.79 / Max: 60.33Min: 59.69 / Avg: 59.92 / Max: 60.24Min: 60.38 / Avg: 60.7 / Max: 61.21

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100231150300450600750SE +/- 0.29, N = 3SE +/- 0.67, N = 3SE +/- 0.49, N = 3714.71713.92712.731. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100231130260390520650Min: 714.13 / Avg: 714.71 / Max: 715.05Min: 712.64 / Avg: 713.91 / Max: 714.88Min: 712.23 / Avg: 712.73 / Max: 713.711. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

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: SqueezeNetV1.012348121620SE +/- 0.73, N = 12SE +/- 1.40, N = 9SE +/- 0.95, N = 1213.8315.3015.40MIN: 10.26 / MAX: 37.6MIN: 10.47 / MAX: 31.97MIN: 10.22 / MAX: 42.91. (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: SqueezeNetV1.012348121620Min: 11.31 / Avg: 13.83 / Max: 19.14Min: 11.7 / Avg: 15.3 / Max: 24.93Min: 11.55 / Avg: 15.4 / Max: 20.861. (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-v2-501321020304050SE +/- 1.75, N = 12SE +/- 0.66, N = 12SE +/- 1.64, N = 940.9942.2144.16MIN: 30.11 / MAX: 389.05MIN: 31.38 / MAX: 168.05MIN: 29.57 / MAX: 153.771. (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-v2-50132918273645Min: 34.29 / Avg: 40.99 / Max: 52.47Min: 39.9 / Avg: 42.21 / Max: 48.45Min: 35.87 / Avg: 44.16 / Max: 52.531. (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_224312510152025SE +/- 0.91, N = 12SE +/- 1.31, N = 12SE +/- 1.50, N = 917.8319.0720.49MIN: 9.16 / MAX: 31.84MIN: 8.7 / MAX: 32.4MIN: 8.69 / MAX: 44.851. (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_224312510152025Min: 13.38 / Avg: 17.83 / Max: 25.23Min: 11.3 / Avg: 19.06 / Max: 27.15Min: 11.58 / Avg: 20.49 / Max: 25.731. (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-v1-1.0123246810SE +/- 0.375, N = 12SE +/- 0.498, N = 9SE +/- 0.777, N = 125.5635.6406.217MIN: 2.93 / MAX: 33.91MIN: 2.93 / MAX: 37.36MIN: 2.9 / MAX: 33.31. (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: 3.99 / Avg: 5.56 / Max: 7.78Min: 4.08 / Avg: 5.64 / Max: 8.17Min: 4.02 / Avg: 6.22 / Max: 12.821. (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-v3132918273645SE +/- 0.29, N = 12SE +/- 0.63, N = 12SE +/- 0.42, N = 939.6739.9240.18MIN: 37.73 / MAX: 229.1MIN: 36.58 / MAX: 212.53MIN: 36.12 / MAX: 191.721. (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-v3132816243240Min: 38.55 / Avg: 39.67 / Max: 41.77Min: 38.6 / Avg: 39.92 / Max: 46.69Min: 38.45 / Avg: 40.18 / Max: 42.141. (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

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 v232170140210280350SE +/- 1.09, N = 3SE +/- 1.94, N = 3SE +/- 2.66, N = 3288.15292.15299.13MIN: 283.45 / MAX: 449.07MIN: 283.53 / MAX: 464.11MIN: 284.62 / MAX: 432.21. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v232150100150200250Min: 286.24 / Avg: 288.15 / Max: 290.03Min: 288.63 / Avg: 292.15 / Max: 295.33Min: 296.05 / Avg: 299.13 / Max: 304.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132160120180240300SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.34, N = 3274.12274.17275.08MIN: 273.35 / MAX: 274.83MIN: 273.44 / MAX: 275.14MIN: 273.65 / MAX: 276.31. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132150100150200250Min: 274.05 / Avg: 274.12 / Max: 274.17Min: 274.06 / Avg: 274.17 / Max: 274.37Min: 274.51 / Avg: 275.08 / Max: 275.691. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl