9900K Tues

Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB 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 2101135-HA-9900KTUES77
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9900K TuesProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASRock Z390M Pro4 (P4.20 BIOS)Intel Cannon Lake PCH16GB240GB Corsair Force MP510Intel UHD 630 3GB (1200MHz)Realtek ALC892G237HLIntel I219-VUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 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: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Vulnerable; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Vulnerable + tsx_async_abort: Vulnerable

123Result OverviewPhoronix Test Suite 10.2.2100%101%102%102%Quantum ESPRESSOKripkeAlgebraic Multi-Grid BenchmarkTNNOpenFOAMMobile Neural NetworkLAMMPS Molecular Dynamics Simulatordav1dLULESH

9900K Tuescp2k: Fayalite-FIST Dataamg: openfoam: Motorbike 30Mopenfoam: Motorbike 60Mqe: AUSURF112lammps: 20k Atomslammps: Rhodopsin Proteinlulesh: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1kripke: 1231046.294236840200238.601180.721452.786.1796.8954965.3022680.94171.06622.70119.194.93027.6802.7582.65432.033285.117268.06732520703238320900236.211181.001498.096.1686.8964963.6058688.38171.45612.56119.224.95427.5562.8402.64331.607287.712268.177327796971046.018237803500236.721179.541497.606.1606.8544967.8512686.40171.33620.58119.235.01027.6052.7532.62231.647285.725268.25732682987OpenBenchmarking.org

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data1320040060080010001046.291046.02

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 1.212350M100M150M200M250MSE +/- 961617.50, N = 3SE +/- 29524.90, N = 3SE +/- 403427.55, N = 32368402002383209002378035001. (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 1.212340M80M120M160M200MMin: 234919000 / Avg: 236840200 / Max: 237877400Min: 238262300 / Avg: 238320900 / Max: 238356500Min: 237001400 / Avg: 237803500 / Max: 2382803001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 30M12350100150200250SE +/- 0.25, N = 3SE +/- 0.52, N = 3SE +/- 0.26, N = 3238.60236.21236.721. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M1234080120160200Min: 238.12 / Avg: 238.6 / Max: 238.96Min: 235.57 / Avg: 236.21 / Max: 237.24Min: 236.21 / Avg: 236.72 / Max: 237.051. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M12330060090012001500SE +/- 0.59, N = 3SE +/- 1.48, N = 3SE +/- 0.30, N = 31180.721181.001179.541. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M1232004006008001000Min: 1179.8 / Avg: 1180.72 / Max: 1181.83Min: 1178.64 / Avg: 1181 / Max: 1183.73Min: 1179.19 / Avg: 1179.54 / Max: 1180.141. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -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: AUSURF11212330060090012001500SE +/- 6.25, N = 3SE +/- 18.85, N = 3SE +/- 18.54, N = 31452.781498.091497.601. (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: AUSURF11212330060090012001500Min: 1441.15 / Avg: 1452.78 / Max: 1462.57Min: 1462.92 / Avg: 1498.09 / Max: 1527.45Min: 1460.98 / Avg: 1497.6 / Max: 1520.931. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -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 29Oct2020Model: 20k Atoms123246810SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 36.1796.1686.1601. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms123246810Min: 6.17 / Avg: 6.18 / Max: 6.19Min: 6.16 / Avg: 6.17 / Max: 6.18Min: 6.15 / Avg: 6.16 / Max: 6.171. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810SE +/- 0.022, N = 3SE +/- 0.008, N = 3SE +/- 0.047, N = 36.8956.8966.8541. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215Min: 6.86 / Avg: 6.9 / Max: 6.93Min: 6.89 / Avg: 6.9 / Max: 6.91Min: 6.76 / Avg: 6.85 / Max: 6.911. (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 +/- 6.72, N = 3SE +/- 10.70, N = 3SE +/- 1.04, N = 34965.304963.614967.851. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31239001800270036004500Min: 4952.89 / Avg: 4965.3 / Max: 4975.96Min: 4942.85 / Avg: 4963.61 / Max: 4978.53Min: 4965.93 / Avg: 4967.85 / Max: 4969.51. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -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 1080p123150300450600750SE +/- 4.65, N = 3SE +/- 0.63, N = 3SE +/- 3.80, N = 3680.94688.38686.40MIN: 514.89 / MAX: 1019.04MIN: 519.38 / MAX: 993.09MIN: 518.24 / MAX: 1037.461. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123120240360480600Min: 672.97 / Avg: 680.94 / Max: 689.08Min: 687.27 / Avg: 688.38 / Max: 689.44Min: 678.81 / Avg: 686.4 / Max: 690.471. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1234080120160200SE +/- 0.19, N = 3SE +/- 0.38, N = 3SE +/- 0.18, N = 3171.06171.45171.33MIN: 159.79 / MAX: 183.94MIN: 161.31 / MAX: 184.27MIN: 160.9 / MAX: 184.581. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123306090120150Min: 170.74 / Avg: 171.06 / Max: 171.41Min: 170.93 / Avg: 171.45 / Max: 172.19Min: 171.02 / Avg: 171.33 / Max: 171.631. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123130260390520650SE +/- 1.01, N = 3SE +/- 7.68, N = 5SE +/- 0.44, N = 3622.70612.56620.58MIN: 571.39 / MAX: 680.96MIN: 501.23 / MAX: 678.83MIN: 545.31 / MAX: 677.891. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123110220330440550Min: 620.96 / Avg: 622.7 / Max: 624.47Min: 582.27 / Avg: 612.56 / Max: 624.02Min: 619.78 / Avg: 620.58 / Max: 621.31. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123306090120150SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3119.19119.22119.23MIN: 75.93 / MAX: 277.62MIN: 76 / MAX: 279.44MIN: 76.13 / MAX: 276.081. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12320406080100Min: 119.08 / Avg: 119.19 / Max: 119.31Min: 119.04 / Avg: 119.22 / Max: 119.39Min: 119.04 / Avg: 119.23 / Max: 119.331. (CC) gcc options: -pthread

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: SqueezeNetV1.01231.12732.25463.38194.50925.6365SE +/- 0.063, N = 4SE +/- 0.078, N = 3SE +/- 0.031, N = 34.9304.9545.010MIN: 4.35 / MAX: 6.87MIN: 4.4 / MAX: 15.4MIN: 4.37 / MAX: 17.981. (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: 4.75 / Avg: 4.93 / Max: 5.05Min: 4.8 / Avg: 4.95 / Max: 5.04Min: 4.96 / Avg: 5.01 / Max: 5.071. (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-v2-50123714212835SE +/- 0.07, N = 4SE +/- 0.10, N = 3SE +/- 0.07, N = 327.6827.5627.61MIN: 27.22 / MAX: 40.52MIN: 27.02 / MAX: 39.25MIN: 27.12 / MAX: 40.661. (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: 27.58 / Avg: 27.68 / Max: 27.87Min: 27.37 / Avg: 27.56 / Max: 27.72Min: 27.46 / Avg: 27.61 / Max: 27.71. (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_2241230.6391.2781.9172.5563.195SE +/- 0.051, N = 4SE +/- 0.119, N = 3SE +/- 0.056, N = 32.7582.8402.753MIN: 2.36 / MAX: 4.06MIN: 2.37 / MAX: 3.41MIN: 2.38 / MAX: 4.241. (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_224123246810Min: 2.61 / Avg: 2.76 / Max: 2.84Min: 2.61 / Avg: 2.84 / Max: 3.01Min: 2.65 / Avg: 2.75 / Max: 2.841. (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-v1-1.01230.59721.19441.79162.38882.986SE +/- 0.029, N = 4SE +/- 0.034, N = 3SE +/- 0.013, N = 32.6542.6432.622MIN: 2.45 / MAX: 4.29MIN: 2.46 / MAX: 4.33MIN: 2.46 / MAX: 5.291. (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 1.1.1Model: mobilenet-v1-1.0123246810Min: 2.59 / Avg: 2.65 / Max: 2.71Min: 2.58 / Avg: 2.64 / Max: 2.7Min: 2.6 / Avg: 2.62 / Max: 2.641. (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 +/- 0.49, N = 4SE +/- 0.65, N = 3SE +/- 0.76, N = 332.0331.6131.65MIN: 28.32 / MAX: 78.21MIN: 27.89 / MAX: 43.24MIN: 27.68 / MAX: 45.571. (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: 30.87 / Avg: 32.03 / Max: 33.28Min: 30.32 / Avg: 31.61 / Max: 32.37Min: 30.16 / Avg: 31.65 / Max: 32.671. (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 v212360120180240300SE +/- 0.23, N = 3SE +/- 0.90, N = 3SE +/- 0.57, N = 3285.12287.71285.73MIN: 283.44 / MAX: 289.93MIN: 284.78 / MAX: 302.73MIN: 284.01 / MAX: 294.771. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 284.84 / Avg: 285.12 / Max: 285.57Min: 285.91 / Avg: 287.71 / Max: 288.75Min: 284.96 / Avg: 285.72 / Max: 286.841. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3268.07268.18268.26MIN: 267.44 / MAX: 269.2MIN: 267.67 / MAX: 272.27MIN: 267.68 / MAX: 269.441. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 267.82 / Avg: 268.07 / Max: 268.3Min: 268.15 / Avg: 268.18 / Max: 268.21Min: 268.02 / Avg: 268.26 / Max: 268.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 1.2.41237M14M21M28M35MSE +/- 123033.36, N = 3SE +/- 40699.69, N = 3SE +/- 124434.10, N = 33252070332779697326829871. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41236M12M18M24M30MMin: 32300950 / Avg: 32520703.33 / Max: 32726460Min: 32698460 / Avg: 32779696.67 / Max: 32824770Min: 32434130 / Avg: 32682986.67 / Max: 328094901. (CXX) g++ options: -O3 -fopenmp