EPYC 7742 2P Sat

2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1006G BIOS) and llvmpipe on Ubuntu 20.04 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 2101176-HA-EPYC7742255
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January 16 2021
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January 16 2021
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January 16 2021
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EPYC 7742 2P SatProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution12342 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RDY1006G BIOS)AMD Starship/Matisse504GB2 x 3841GB Micron_9300_MTFDHAL3T8TDPllvmpipeVE2282 x Mellanox MT27710Ubuntu 20.045.11.0-rc2-phx (x86_64) 20210108GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0 128 bits)GCC 9.3.0ext41920x1080OpenBenchmarking.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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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 ondemand (Boost: Enabled) - CPU Microcode: 0x8301034Python Details- Python 2.7.18rc1 + Python 3.8.2Security 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

1234Result OverviewPhoronix Test Suite100%103%105%108%110%CloverLeafLULESHOpenFOAMQuantum ESPRESSOdav1dAlgebraic Multi-Grid Benchmark

EPYC 7742 2P Satamg: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10kripke: synthmark: VoiceMark_100lulesh: mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1cloverleaf: Lagrangian-Eulerian Hydrodynamicsopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mqe: AUSURF112build-godot: Time To Compile12341759042333903.30422.14961.34185.950.3420.9801.2942.69866433871559.96926472.6229.87831.7995.3344.00537.775345.252304.38520.23121.90207.281178.7267.1071758443000896.87423.77952.52186.4327606.65620.28121.35207.411188.9667.0121749173667904.37417.09980.01186.820.3430.9841.3002.70171128494560.42128049.64910.22534.6285.2974.03437.939348.226303.95222.32122.05210.011179.5267.4021754829000908.59420.65980.69186.7927974.12221.48121.98228.091172.63OpenBenchmarking.org

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.21234400M800M1200M1600M2000MSE +/- 1807065.52, N = 3SE +/- 1483157.78, N = 3SE +/- 2894225.88, N = 3SE +/- 3088977.23, N = 317590423331758443000174917366717548290001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.21234300M600M900M1200M1500MMin: 1755717000 / Avg: 1759042333.33 / Max: 1761931000Min: 1756884000 / Avg: 1758443000 / Max: 1761408000Min: 1743946000 / Avg: 1749173666.67 / Max: 1753940000Min: 1748738000 / Avg: 1754829000 / Max: 17587690001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p12342004006008001000SE +/- 2.92, N = 3SE +/- 4.94, N = 3SE +/- 6.24, N = 3SE +/- 1.60, N = 3903.30896.87904.37908.59MIN: 339.48 / MAX: 1189.68MIN: 326.19 / MAX: 1189.68MIN: 318.26 / MAX: 1194.55MIN: 338.96 / MAX: 1188.61. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p1234160320480640800Min: 900.37 / Avg: 903.3 / Max: 909.15Min: 891.19 / Avg: 896.87 / Max: 906.71Min: 892.3 / Avg: 904.37 / Max: 913.19Min: 906.88 / Avg: 908.59 / Max: 911.791. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123490180270360450SE +/- 1.14, N = 3SE +/- 0.65, N = 3SE +/- 2.89, N = 3SE +/- 3.25, N = 3422.14423.77417.09420.65MIN: 82.66 / MAX: 518.54MIN: 84.67 / MAX: 517.92MIN: 82.93 / MAX: 519.19MIN: 85.84 / MAX: 516.321. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123480160240320400Min: 419.89 / Avg: 422.14 / Max: 423.58Min: 422.94 / Avg: 423.77 / Max: 425.06Min: 413.23 / Avg: 417.09 / Max: 422.74Min: 416.37 / Avg: 420.65 / Max: 427.021. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12342004006008001000SE +/- 7.93, N = 3SE +/- 3.86, N = 3SE +/- 8.09, N = 3SE +/- 1.55, N = 3961.34952.52980.01980.69MIN: 187.29 / MAX: 1201.21MIN: 186.73 / MAX: 1184.22MIN: 191.66 / MAX: 1218.08MIN: 201.08 / MAX: 1209.81. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12342004006008001000Min: 948.92 / Avg: 961.34 / Max: 976.1Min: 945.31 / Avg: 952.52 / Max: 958.51Min: 964.23 / Avg: 980.01 / Max: 991Min: 977.69 / Avg: 980.69 / Max: 982.871. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12344080120160200SE +/- 0.41, N = 3SE +/- 0.67, N = 3SE +/- 0.38, N = 3SE +/- 0.43, N = 3185.95186.43186.82186.79MIN: 137.02 / MAX: 257.69MIN: 138.11 / MAX: 263.26MIN: 142.62 / MAX: 262.99MIN: 136.74 / MAX: 261.851. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1234306090120150Min: 185.42 / Avg: 185.95 / Max: 186.76Min: 185.46 / Avg: 186.43 / Max: 187.72Min: 186.39 / Avg: 186.82 / Max: 187.58Min: 186.09 / Avg: 186.79 / Max: 187.571. (CC) gcc options: -pthread

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: 1130.07720.15440.23160.30880.386SE +/- 0.002, N = 3SE +/- 0.000, N = 30.3420.343
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11312345Min: 0.34 / Avg: 0.34 / Max: 0.35Min: 0.34 / Avg: 0.34 / Max: 0.34

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5130.22140.44280.66420.88561.107SE +/- 0.001, N = 3SE +/- 0.001, N = 30.9800.984
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 513246810Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.99

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6130.29250.5850.87751.171.4625SE +/- 0.001, N = 3SE +/- 0.001, N = 31.2941.300
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 613246810Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.3 / Avg: 1.3 / Max: 1.3

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10130.60771.21541.82312.43083.0385SE +/- 0.028, N = 3SE +/- 0.029, N = 32.6982.701
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1013246810Min: 2.65 / Avg: 2.7 / Max: 2.74Min: 2.64 / Avg: 2.7 / Max: 2.73

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41315M30M45M60M75MSE +/- 3999728.52, N = 15SE +/- 2651223.77, N = 1566433871711284941. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41312M24M36M48M60MMin: 41624630 / Avg: 66433871.33 / Max: 100052800Min: 55914850 / Avg: 71128494 / Max: 857944701. (CXX) g++ options: -O3 -fopenmp

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_10013120240360480600SE +/- 0.36, N = 3SE +/- 0.52, N = 3559.97560.421. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_10013100200300400500Min: 559.32 / Avg: 559.97 / Max: 560.54Min: 559.76 / Avg: 560.42 / Max: 561.451. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.312346K12K18K24K30KSE +/- 444.16, N = 3SE +/- 98.02, N = 3SE +/- 55.07, N = 3SE +/- 96.47, N = 326472.6227606.6628049.6527974.121. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.312345K10K15K20K25KMin: 25958.55 / Avg: 26472.62 / Max: 27357.05Min: 27462.38 / Avg: 27606.66 / Max: 27793.73Min: 27960.03 / Avg: 28049.65 / Max: 28149.89Min: 27782.06 / Avg: 27974.12 / Max: 28086.061. (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: SqueezeNetV1.0133691215SE +/- 0.125, N = 15SE +/- 0.212, N = 159.87810.225MIN: 8.6 / MAX: 30.07MIN: 8.72 / MAX: 19.521. (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: SqueezeNetV1.0133691215Min: 8.89 / Avg: 9.88 / Max: 10.87Min: 9.23 / Avg: 10.23 / Max: 12.431. (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-v2-5013816243240SE +/- 0.56, N = 15SE +/- 0.61, N = 1531.8034.63MIN: 25.2 / MAX: 110.3MIN: 27.76 / MAX: 157.411. (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: resnet-v2-5013714212835Min: 28.49 / Avg: 31.8 / Max: 36.59Min: 29.56 / Avg: 34.63 / Max: 37.531. (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_224131.20022.40043.60064.80086.001SE +/- 0.206, N = 15SE +/- 0.062, N = 155.3345.297MIN: 4.51 / MAX: 51.37MIN: 4.55 / MAX: 18.241. (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_22413246810Min: 4.71 / Avg: 5.33 / Max: 8.04Min: 4.83 / Avg: 5.3 / Max: 5.741. (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-v1-1.0130.90771.81542.72313.63084.5385SE +/- 0.191, N = 15SE +/- 0.094, N = 154.0054.034MIN: 3.24 / MAX: 17.35MIN: 3.28 / MAX: 35.371. (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-v1-1.013246810Min: 3.48 / Avg: 4.01 / Max: 6.56Min: 3.65 / Avg: 4.03 / Max: 5.171. (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-v313918273645SE +/- 0.24, N = 15SE +/- 0.16, N = 1537.7837.94MIN: 35.48 / MAX: 292.74MIN: 35.38 / MAX: 199.331. (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: inception-v313816243240Min: 36.09 / Avg: 37.77 / Max: 39.17Min: 37.04 / Avg: 37.94 / Max: 38.991. (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 v21380160240320400SE +/- 4.23, N = 3SE +/- 5.57, N = 3345.25348.23MIN: 325.91 / MAX: 631.29MIN: 326.62 / MAX: 597.251. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21360120180240300Min: 338.49 / Avg: 345.25 / Max: 353.04Min: 342.38 / Avg: 348.23 / Max: 359.371. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11370140210280350SE +/- 0.51, N = 3SE +/- 1.08, N = 3304.39303.95MIN: 300.43 / MAX: 306.55MIN: 299.76 / MAX: 314.371. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11350100150200250Min: 303.5 / Avg: 304.38 / Max: 305.26Min: 301.81 / Avg: 303.95 / Max: 305.261. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 Hydrodynamics1234510152025SE +/- 0.39, N = 15SE +/- 0.40, N = 15SE +/- 0.89, N = 12SE +/- 0.80, N = 1220.2320.2822.3221.481. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234510152025Min: 18.47 / Avg: 20.23 / Max: 22.87Min: 18.75 / Avg: 20.28 / Max: 24.1Min: 18.85 / Avg: 22.32 / Max: 29.98Min: 18.62 / Avg: 21.48 / Max: 27.391. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M1234306090120150SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.50, N = 3SE +/- 0.08, N = 3121.90121.35122.05121.981. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123420406080100Min: 121.45 / Avg: 121.9 / Max: 122.48Min: 120.98 / Avg: 121.35 / Max: 121.65Min: 121.37 / Avg: 122.05 / Max: 123.02Min: 121.84 / Avg: 121.98 / Max: 122.121. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M123450100150200250SE +/- 2.99, N = 3SE +/- 2.38, N = 3SE +/- 2.70, N = 9SE +/- 6.83, N = 9207.28207.41210.01228.091. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M12344080120160200Min: 204.21 / Avg: 207.28 / Max: 213.26Min: 204.88 / Avg: 207.41 / Max: 212.17Min: 206.53 / Avg: 210.01 / Max: 231.52Min: 209.8 / Avg: 228.09 / Max: 272.741. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

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: AUSURF112123430060090012001500SE +/- 5.27, N = 3SE +/- 8.57, N = 3SE +/- 6.14, N = 3SE +/- 5.13, N = 31178.721188.961179.521172.631. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF11212342004006008001000Min: 1168.69 / Avg: 1178.72 / Max: 1186.55Min: 1179.83 / Avg: 1188.96 / Max: 1206.09Min: 1168.68 / Avg: 1179.52 / Max: 1189.95Min: 1164.3 / Avg: 1172.63 / Max: 1181.971. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Compile1231530456075SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 367.1167.0167.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1231326395265Min: 66.83 / Avg: 67.11 / Max: 67.62Min: 66.85 / Avg: 67.01 / Max: 67.12Min: 67.11 / Avg: 67.4 / Max: 67.76