10980XE Thurs

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 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 2101156-PTS-10980XET36
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10980XE ThursProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GBllvmpipeRealtek ALC1220Intel I219-V + Intel I211Ubuntu 20.045.11.0-rc2-phx (x86_64) 20210109GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits)GCC 9.3.0 + CUDA 11.1ext41024x768OpenBenchmarking.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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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_cpufreq ondemand - CPU Microcode: 0x5003003Security 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: Mitigation of TSX disabled Python Details- 2, 3: Python 2.7.18 + Python 3.8.5

123Result OverviewPhoronix Test Suite 10.6.1100%102%105%107%Quantum ESPRESSOLAMMPS Molecular Dynamics SimulatorRELIONLULESHMobile Neural NetworkCloverLeafTimed Godot Game Engine Compilationrav1eTNN

10980XE Thursqe: AUSURF112relion: Basic - CPUlammps: 20k Atomslammps: Rhodopsin Proteinlulesh: rav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1cloverleaf: Lagrangian-Eulerian Hydrodynamicsbuild-godot: Time To Compile1231520.811596.6448.9407.9006462.71850.3971.1091.4523.1756.16933.8813.8612.58640.845303.699285.25187.7988.9321402.301601.8358.9048.2276503.03230.3971.1081.4543.1596.21232.7633.8522.59540.954303.948284.84787.1689.4331388.831603.9268.9187.4356418.20670.3961.1081.4403.1786.19633.8423.8792.60141.225303.938284.84387.1589.345OpenBenchmarking.org

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 +/- 18.58, N = 6SE +/- 18.40, N = 5SE +/- 3.01, N = 31520.811402.301388.831. (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: 1439.52 / Avg: 1520.81 / Max: 1580.06Min: 1382.19 / Avg: 1402.3 / Max: 1475.86Min: 1385.32 / Avg: 1388.83 / Max: 1394.811. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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: CPU12330060090012001500SE +/- 1.48, N = 3SE +/- 0.14, N = 3SE +/- 1.55, N = 31596.641601.841603.931. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lpthread -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU12330060090012001500Min: 1594.04 / Avg: 1596.64 / Max: 1599.15Min: 1601.56 / Avg: 1601.84 / Max: 1602.05Min: 1601.14 / Avg: 1603.93 / Max: 1606.491. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lpthread -lrt -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 Atoms123246810SE +/- 0.061, N = 3SE +/- 0.035, N = 3SE +/- 0.038, N = 38.9408.9048.9181. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms1233691215Min: 8.84 / Avg: 8.94 / Max: 9.05Min: 8.85 / Avg: 8.9 / Max: 8.97Min: 8.87 / Avg: 8.92 / Max: 8.991. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810SE +/- 0.304, N = 15SE +/- 0.101, N = 15SE +/- 0.363, N = 157.9008.2277.4351. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215Min: 5.17 / Avg: 7.9 / Max: 9.93Min: 7.38 / Avg: 8.23 / Max: 8.92Min: 4.31 / Avg: 7.44 / Max: 8.871. (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 2.0.312314002800420056007000SE +/- 80.40, N = 5SE +/- 64.60, N = 3SE +/- 96.78, N = 36462.726503.036418.211. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.312311002200330044005500Min: 6288.38 / Avg: 6462.72 / Max: 6667.54Min: 6399.54 / Avg: 6503.03 / Max: 6621.77Min: 6270.27 / Avg: 6418.21 / Max: 6600.261. (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: 11230.08930.17860.26790.35720.4465SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3970.3970.396
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 112312345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.24950.4990.74850.9981.2475SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 31.1091.1081.108
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 1.11 / Avg: 1.11 / Max: 1.11Min: 1.1 / Avg: 1.11 / Max: 1.11Min: 1.1 / Avg: 1.11 / Max: 1.11

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.32720.65440.98161.30881.636SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.016, N = 31.4521.4541.440
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.44 / Avg: 1.45 / Max: 1.46Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.41 / Avg: 1.44 / Max: 1.46

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.71511.43022.14532.86043.5755SE +/- 0.014, N = 3SE +/- 0.024, N = 3SE +/- 0.003, N = 33.1753.1593.178
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 3.15 / Avg: 3.18 / Max: 3.19Min: 3.11 / Avg: 3.16 / Max: 3.19Min: 3.17 / Avg: 3.18 / Max: 3.18

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: SqueezeNetV1.0123246810SE +/- 0.058, N = 15SE +/- 0.061, N = 15SE +/- 0.053, N = 156.1696.2126.196MIN: 5.39 / MAX: 8.69MIN: 5.43 / MAX: 8.77MIN: 5.21 / MAX: 9.121. (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: 5.91 / Avg: 6.17 / Max: 6.63Min: 5.9 / Avg: 6.21 / Max: 6.61Min: 5.94 / Avg: 6.2 / Max: 6.71. (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: resnet-v2-50123816243240SE +/- 0.06, N = 15SE +/- 0.51, N = 15SE +/- 0.09, N = 1533.8832.7633.84MIN: 26.84 / MAX: 45.91MIN: 24.59 / MAX: 42.84MIN: 26.7 / MAX: 43.261. (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-v2-50123714212835Min: 33.52 / Avg: 33.88 / Max: 34.38Min: 27.07 / Avg: 32.76 / Max: 34.4Min: 33.12 / Avg: 33.84 / Max: 34.481. (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_2241230.87281.74562.61843.49124.364SE +/- 0.042, N = 15SE +/- 0.041, N = 15SE +/- 0.036, N = 153.8613.8523.879MIN: 3.23 / MAX: 5.37MIN: 3.24 / MAX: 5.27MIN: 3.33 / MAX: 5.241. (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: 3.58 / Avg: 3.86 / Max: 4.19Min: 3.6 / Avg: 3.85 / Max: 4.18Min: 3.52 / Avg: 3.88 / Max: 4.11. (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 1.1.1Model: mobilenet-v1-1.01230.58521.17041.75562.34082.926SE +/- 0.016, N = 15SE +/- 0.016, N = 15SE +/- 0.026, N = 152.5862.5952.601MIN: 2.36 / MAX: 5.23MIN: 2.2 / MAX: 5.09MIN: 2.33 / MAX: 5.131. (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: 2.53 / Avg: 2.59 / Max: 2.76Min: 2.51 / Avg: 2.6 / Max: 2.73Min: 2.49 / Avg: 2.6 / Max: 2.881. (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: inception-v3123918273645SE +/- 0.24, N = 15SE +/- 0.30, N = 15SE +/- 0.17, N = 1540.8540.9541.23MIN: 33.66 / MAX: 49.83MIN: 33.04 / MAX: 60.72MIN: 33.13 / MAX: 50.691. (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-v3123918273645Min: 39.07 / Avg: 40.85 / Max: 42.22Min: 38.16 / Avg: 40.95 / Max: 42.27Min: 39.85 / Avg: 41.23 / Max: 42.291. (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

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 v212370140210280350SE +/- 0.10, N = 3SE +/- 0.39, N = 3SE +/- 0.19, N = 3303.70303.95303.94MIN: 301.54 / MAX: 309.77MIN: 301.87 / MAX: 312.72MIN: 301.87 / MAX: 314.91. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 303.51 / Avg: 303.7 / Max: 303.84Min: 303.23 / Avg: 303.95 / Max: 304.57Min: 303.56 / Avg: 303.94 / Max: 304.21. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3285.25284.85284.84MIN: 284 / MAX: 292.33MIN: 283.94 / MAX: 291.14MIN: 283.89 / MAX: 292.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 285.02 / Avg: 285.25 / Max: 285.62Min: 284.76 / Avg: 284.85 / Max: 285.01Min: 284.52 / Avg: 284.84 / Max: 285.191. (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 Hydrodynamics12320406080100SE +/- 0.56, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 387.7987.1687.151. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics12320406080100Min: 87.21 / Avg: 87.79 / Max: 88.91Min: 87.08 / Avg: 87.16 / Max: 87.21Min: 87.08 / Avg: 87.15 / Max: 87.191. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 Compile12320406080100SE +/- 0.05, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 388.9389.4389.35
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12320406080100Min: 88.85 / Avg: 88.93 / Max: 89.02Min: 89.12 / Avg: 89.43 / Max: 89.96Min: 88.93 / Avg: 89.35 / Max: 89.95