amd-epyc-7f72-kernel-heavy-workloads

AMD EPYC 7F72 24-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and ASPEED 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 2009210-FI-AMDEPYC7F06
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Linux 5.8
September 21 2020
  40 Minutes
Linux 5.8 Run 2
September 21 2020
  4 Hours, 8 Minutes
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September 21 2020
  3 Hours, 40 Minutes
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amd-epyc-7f72-kernel-heavy-workloads OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads)ASRockRack EPYCD8 (P2.10 BIOS)AMD Starship/Matisse126GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDAMD Starship/Matisse2 x Intel I350Ubuntu 20.045.8.0-pts (x86_64)5.9.0-050900rc6daily20200921-generic (x86_64) 20200920GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelsDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionAmd-epyc-7f72-kernel-heavy-workloads BenchmarksSystem Logs- --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 - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- Python 3.8.2- 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

Linux 5.8Linux 5.8 Run 2Linux 5.9-rc6Result OverviewPhoronix Test Suite100%101%102%103%103%LAMMPS Molecular Dynamics SimulatorNAMDMonte Carlo Simulations of Ionised Nebulae

amd-epyc-7f72-kernel-heavy-workloads namd: ATPase Simulation - 327,506 Atomsmocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteingpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3kripke: Linux 5.8Linux 5.8 Run 2Linux 5.9-rc60.8566319616.33914.6820.8598219616.25515.280106.86210.18932.2035.8096.05831.98717.228.709.218.343.6447.1572.7424.7410.1265.3220.281344321330.8505719616.31915.714100.40810.15731.5065.9475.89932.20317.288.769.328.473.6747.0973.4424.409.9564.3020.05142796600OpenBenchmarking.org

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.8 Run 2Linux 5.9-rc60.19350.3870.58050.7740.9675SE +/- 0.00100, N = 3SE +/- 0.00078, N = 3SE +/- 0.00214, N = 30.856630.859820.85057
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.8 Run 2Linux 5.9-rc6246810Min: 0.86 / Avg: 0.86 / Max: 0.86Min: 0.86 / Avg: 0.86 / Max: 0.86Min: 0.85 / Avg: 0.85 / Max: 0.85

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8Linux 5.8 Run 2Linux 5.9-rc64080120160200SE +/- 0.33, N = 31961961961. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8Linux 5.8 Run 2Linux 5.9-rc64080120160200Min: 195 / Avg: 195.67 / Max: 1961. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -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 24Aug2020Model: 20k AtomsLinux 5.8Linux 5.8 Run 2Linux 5.9-rc648121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 316.3416.2616.321. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.8Linux 5.8 Run 2Linux 5.9-rc648121620Min: 16.31 / Avg: 16.34 / Max: 16.37Min: 16.2 / Avg: 16.25 / Max: 16.31Min: 16.3 / Avg: 16.32 / Max: 16.341. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8Linux 5.8 Run 2Linux 5.9-rc648121620SE +/- 0.34, N = 15SE +/- 0.16, N = 8SE +/- 0.22, N = 414.6815.2815.711. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8Linux 5.8 Run 2Linux 5.9-rc648121620Min: 12.56 / Avg: 14.68 / Max: 16.19Min: 14.34 / Avg: 15.28 / Max: 15.97Min: 15.11 / Avg: 15.71 / Max: 16.111. (CXX) g++ options: -O3 -pthread -lm

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8 Run 2Linux 5.9-rc620406080100SE +/- 1.60, N = 4SE +/- 0.22, N = 3106.86100.411. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8 Run 2Linux 5.9-rc620406080100Min: 103.88 / Avg: 106.86 / Max: 109.64Min: 100.13 / Avg: 100.41 / Max: 100.851. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -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 2020-09-17Model: SqueezeNetV1.0Linux 5.8 Run 2Linux 5.9-rc63691215SE +/- 0.26, N = 15SE +/- 0.23, N = 1210.1910.16MIN: 8.7 / MAX: 16.05MIN: 8.82 / MAX: 15.11. (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 2020-09-17Model: SqueezeNetV1.0Linux 5.8 Run 2Linux 5.9-rc63691215Min: 9.06 / Avg: 10.19 / Max: 13.17Min: 9.5 / Avg: 10.16 / Max: 12.491. (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 2020-09-17Model: resnet-v2-50Linux 5.8 Run 2Linux 5.9-rc6714212835SE +/- 0.36, N = 15SE +/- 0.50, N = 1232.2031.51MIN: 27.77 / MAX: 36.98MIN: 27.95 / MAX: 36.951. (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 2020-09-17Model: resnet-v2-50Linux 5.8 Run 2Linux 5.9-rc6714212835Min: 29.8 / Avg: 32.2 / Max: 33.74Min: 29.08 / Avg: 31.51 / Max: 35.311. (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 2020-09-17Model: MobileNetV2_224Linux 5.8 Run 2Linux 5.9-rc61.33812.67624.01435.35246.6905SE +/- 0.068, N = 15SE +/- 0.088, N = 125.8095.947MIN: 5.05 / MAX: 7.67MIN: 5.19 / MAX: 7.291. (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 2020-09-17Model: MobileNetV2_224Linux 5.8 Run 2Linux 5.9-rc6246810Min: 5.31 / Avg: 5.81 / Max: 6.19Min: 5.33 / Avg: 5.95 / Max: 6.361. (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 2020-09-17Model: mobilenet-v1-1.0Linux 5.8 Run 2Linux 5.9-rc6246810SE +/- 0.206, N = 15SE +/- 0.243, N = 126.0585.899MIN: 5 / MAX: 8.22MIN: 4.97 / MAX: 8.391. (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 2020-09-17Model: mobilenet-v1-1.0Linux 5.8 Run 2Linux 5.9-rc6246810Min: 5.09 / Avg: 6.06 / Max: 6.8Min: 5.04 / Avg: 5.9 / Max: 6.771. (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 2020-09-17Model: inception-v3Linux 5.8 Run 2Linux 5.9-rc6714212835SE +/- 0.19, N = 15SE +/- 0.15, N = 1231.9932.20MIN: 28.82 / MAX: 36.31MIN: 29.2 / MAX: 37.931. (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 2020-09-17Model: inception-v3Linux 5.8 Run 2Linux 5.9-rc6714212835Min: 30.44 / Avg: 31.99 / Max: 33.06Min: 31.35 / Avg: 32.2 / Max: 33.011. (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

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8 Run 2Linux 5.9-rc648121620SE +/- 0.00, N = 3SE +/- 0.03, N = 317.2217.28MIN: 17.11 / MAX: 19.23MIN: 17.16 / MAX: 21.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8 Run 2Linux 5.9-rc648121620Min: 17.21 / Avg: 17.22 / Max: 17.22Min: 17.23 / Avg: 17.28 / Max: 17.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8 Run 2Linux 5.9-rc6246810SE +/- 0.02, N = 3SE +/- 0.05, N = 38.708.76MIN: 8.48 / MAX: 9.99MIN: 8.47 / MAX: 9.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8 Run 2Linux 5.9-rc63691215Min: 8.67 / Avg: 8.7 / Max: 8.74Min: 8.69 / Avg: 8.76 / Max: 8.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8 Run 2Linux 5.9-rc63691215SE +/- 0.03, N = 3SE +/- 0.04, N = 39.219.32MIN: 9.07 / MAX: 10.98MIN: 9.14 / MAX: 10.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8 Run 2Linux 5.9-rc63691215Min: 9.17 / Avg: 9.21 / Max: 9.27Min: 9.26 / Avg: 9.32 / Max: 9.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8 Run 2Linux 5.9-rc6246810SE +/- 0.03, N = 3SE +/- 0.05, N = 38.348.47MIN: 8.06 / MAX: 9.35MIN: 8.18 / MAX: 9.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8 Run 2Linux 5.9-rc63691215Min: 8.3 / Avg: 8.34 / Max: 8.39Min: 8.41 / Avg: 8.47 / Max: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8 Run 2Linux 5.9-rc60.82581.65162.47743.30324.129SE +/- 0.01, N = 3SE +/- 0.01, N = 33.643.67MIN: 3.52 / MAX: 3.75MIN: 3.53 / MAX: 5.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8 Run 2Linux 5.9-rc6246810Min: 3.62 / Avg: 3.64 / Max: 3.65Min: 3.65 / Avg: 3.67 / Max: 3.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8 Run 2Linux 5.9-rc61122334455SE +/- 0.13, N = 3SE +/- 0.04, N = 347.1547.09MIN: 45.89 / MAX: 53.33MIN: 46.28 / MAX: 53.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8 Run 2Linux 5.9-rc61020304050Min: 47.02 / Avg: 47.15 / Max: 47.4Min: 47.03 / Avg: 47.09 / Max: 47.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8 Run 2Linux 5.9-rc61632486480SE +/- 1.03, N = 3SE +/- 0.58, N = 372.7473.44MIN: 69.07 / MAX: 83.84MIN: 70.35 / MAX: 85.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8 Run 2Linux 5.9-rc61428425670Min: 70.67 / Avg: 72.74 / Max: 73.82Min: 72.47 / Avg: 73.44 / Max: 74.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8 Run 2Linux 5.9-rc6612182430SE +/- 0.63, N = 3SE +/- 0.31, N = 324.7424.40MIN: 23.8 / MAX: 62.17MIN: 23.85 / MAX: 102.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8 Run 2Linux 5.9-rc6612182430Min: 24.04 / Avg: 24.74 / Max: 26Min: 24.09 / Avg: 24.4 / Max: 25.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8 Run 2Linux 5.9-rc63691215SE +/- 0.46, N = 3SE +/- 0.22, N = 310.129.95MIN: 9.14 / MAX: 11.85MIN: 9.33 / MAX: 12.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8 Run 2Linux 5.9-rc63691215Min: 9.29 / Avg: 10.12 / Max: 10.87Min: 9.53 / Avg: 9.95 / Max: 10.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8 Run 2Linux 5.9-rc61530456075SE +/- 1.10, N = 3SE +/- 0.16, N = 365.3264.30MIN: 63.55 / MAX: 103.4MIN: 63.35 / MAX: 126.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8 Run 2Linux 5.9-rc61326395265Min: 63.97 / Avg: 65.32 / Max: 67.5Min: 63.99 / Avg: 64.3 / Max: 64.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8 Run 2Linux 5.9-rc6510152025SE +/- 0.34, N = 3SE +/- 0.64, N = 320.2820.05MIN: 19.07 / MAX: 23.26MIN: 18.86 / MAX: 23.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8 Run 2Linux 5.9-rc6510152025Min: 19.59 / Avg: 20.28 / Max: 20.66Min: 19.3 / Avg: 20.05 / Max: 21.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 1.2.4Linux 5.8 Run 2Linux 5.9-rc630M60M90M120M150MSE +/- 1274761.43, N = 3SE +/- 1808467.00, N = 31344321331427966001. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8 Run 2Linux 5.9-rc620M40M60M80M100MMin: 133126200 / Avg: 134432133.33 / Max: 136981400Min: 140153700 / Avg: 142796600 / Max: 1462565001. (CXX) g++ options: -O3 -fopenmp