10900K Weds

Intel Core i9-10900K testing with a Gigabyte Z490 AORUS MASTER (F3 BIOS) and Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 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 2101134-SYST-10900KW17
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10900K WedsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GBSamsung SSD 970 EVO 250GBGigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz)Realtek ALC1220ASUS MG28UIntel + Intel Wi-Fi 6 AX201Ubuntu 20.105.11.0-051100rc2daily20210106-generic (x86_64) 20210105GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext43840x2160OpenBenchmarking.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: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 2.3Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%102%104%106%108%Mobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkLAMMPS Molecular Dynamics SimulatorLAMMPS Molecular Dynamics Simulatorrav1eQuantum ESPRESSOrav1eMobile Neural Networkrav1erav1eMobileNetV2_224mobilenet-v1-1.0inception-v3SqueezeNetV1.020k AtomsRhodopsin Protein1AUSURF11210resnet-v2-5065

10900K Wedsrav1e: 1rav1e: 5rav1e: 6rav1e: 10lammps: 20k Atomslammps: Rhodopsin Proteinmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3qe: AUSURF1121230.5091.4561.9294.2408.3998.7554.62628.3313.2543.52031.1191899.620.5051.4511.9224.2178.4768.7004.71628.2703.0263.33630.7091899.320.5061.4531.9284.2328.4608.7774.62928.4133.0083.44830.5151884.85OpenBenchmarking.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: 11230.11450.2290.34350.4580.5725SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5090.5050.506
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123246810Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.5 / Avg: 0.51 / Max: 0.51Min: 0.51 / Avg: 0.51 / Max: 0.51

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.32760.65520.98281.31041.638SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.4561.4511.453
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 1.44 / Avg: 1.46 / Max: 1.47Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.45 / Avg: 1.45 / Max: 1.46

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.4340.8681.3021.7362.17SE +/- 0.003, N = 3SE +/- 0.012, N = 3SE +/- 0.004, N = 31.9291.9221.928
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.92 / Avg: 1.93 / Max: 1.94Min: 1.9 / Avg: 1.92 / Max: 1.94Min: 1.92 / Avg: 1.93 / Max: 1.94

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.9541.9082.8623.8164.77SE +/- 0.009, N = 3SE +/- 0.012, N = 3SE +/- 0.006, N = 34.2404.2174.232
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 4.23 / Avg: 4.24 / Max: 4.26Min: 4.2 / Avg: 4.22 / Max: 4.24Min: 4.22 / Avg: 4.23 / Max: 4.24

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 +/- 0.035, N = 3SE +/- 0.026, N = 3SE +/- 0.016, N = 38.3998.4768.4601. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms1233691215Min: 8.33 / Avg: 8.4 / Max: 8.45Min: 8.43 / Avg: 8.48 / Max: 8.52Min: 8.43 / Avg: 8.46 / Max: 8.491. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810SE +/- 0.031, N = 3SE +/- 0.077, N = 3SE +/- 0.027, N = 38.7558.7008.7771. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215Min: 8.69 / Avg: 8.76 / Max: 8.79Min: 8.57 / Avg: 8.7 / Max: 8.83Min: 8.73 / Avg: 8.78 / Max: 8.831. (CXX) g++ options: -O3 -pthread -lm

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: SqueezeNetV1.01231.06112.12223.18334.24445.3055SE +/- 0.068, N = 3SE +/- 0.077, N = 3SE +/- 0.052, N = 34.6264.7164.629MIN: 4.32 / MAX: 6.46MIN: 4.49 / MAX: 8.78MIN: 4.41 / MAX: 8.061. (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: 4.52 / Avg: 4.63 / Max: 4.75Min: 4.62 / Avg: 4.72 / Max: 4.87Min: 4.54 / Avg: 4.63 / Max: 4.721. (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: resnet-v2-50123714212835SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.28, N = 328.3328.2728.41MIN: 27.62 / MAX: 76.2MIN: 27.64 / MAX: 58.04MIN: 27.56 / MAX: 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: resnet-v2-50123612182430Min: 28.1 / Avg: 28.33 / Max: 28.63Min: 27.84 / Avg: 28.27 / Max: 28.5Min: 27.96 / Avg: 28.41 / Max: 28.921. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241230.73221.46442.19662.92883.661SE +/- 0.260, N = 3SE +/- 0.066, N = 3SE +/- 0.024, N = 33.2543.0263.008MIN: 2.88 / MAX: 101.67MIN: 2.86 / MAX: 3.64MIN: 2.87 / MAX: 4.881. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224123246810Min: 2.95 / Avg: 3.25 / Max: 3.77Min: 2.95 / Avg: 3.03 / Max: 3.16Min: 2.98 / Avg: 3.01 / Max: 3.061. (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-v1-1.01230.7921.5842.3763.1683.96SE +/- 0.111, N = 3SE +/- 0.006, N = 3SE +/- 0.081, N = 33.5203.3363.448MIN: 3.26 / MAX: 26.41MIN: 3.28 / MAX: 4.14MIN: 3.29 / MAX: 9.241. (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: mobilenet-v1-1.0123246810Min: 3.31 / Avg: 3.52 / Max: 3.69Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 3.37 / Avg: 3.45 / Max: 3.611. (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 +/- 1.10, N = 3SE +/- 0.52, N = 3SE +/- 0.22, N = 331.1230.7130.52MIN: 29.52 / MAX: 160.19MIN: 29.5 / MAX: 39.52MIN: 29.73 / MAX: 66.791. (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: 29.68 / Avg: 31.12 / Max: 33.28Min: 29.67 / Avg: 30.71 / Max: 31.3Min: 30.1 / Avg: 30.52 / Max: 30.871. (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

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: AUSURF112123400800120016002000SE +/- 15.21, N = 3SE +/- 16.49, N = 3SE +/- 16.47, N = 31899.621899.321884.851. (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: 1869.25 / Avg: 1899.62 / Max: 1916.23Min: 1867.05 / Avg: 1899.32 / Max: 1921.32Min: 1863.14 / Avg: 1884.85 / Max: 1917.171. (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

12 Results Shown

rav1e:
  1
  5
  6
  10
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
Quantum ESPRESSO