10700T Benchmarks

Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 3GB 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 2101164-HA-10700TBEN40
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January 15 2021
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10700T BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads)Logic Supply RXM-181 (Z01-0002A026 BIOS)Intel Comet Lake PCH32GB256GB TS256GMTS800Intel UHD 630 3GB (1200MHz)Realtek ALC233DELL P2415QIntel I219-LM + Intel I210Ubuntu 20.105.8.0-36-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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++,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 2.3 Python Details- Python 3.8.6Security 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%103%105%LAMMPS Molecular Dynamics SimulatorCloverLeafMobile Neural NetworkTNNLULESHGoogle SynthMarkTimed Godot Game Engine Compilationrav1eQuantum ESPRESSO

10700T Benchmarkscloverleaf: Lagrangian-Eulerian Hydrodynamicsqe: AUSURF112lammps: Rhodopsin Proteinlulesh: rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilesynthmark: VoiceMark_100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1123182.9842605.5314181.42811.0101.3523.157255.300586.2259.57349.7294.2604.60259.418371.973359.761180.5142605.2184204.45641.0121.3523.165254.650587.9369.43649.2124.2454.51958.189367.891359.675189.7342605.5314186.02181.0151.3543.160255.469589.4099.52849.6884.2664.52958.591370.367359.707OpenBenchmarking.org

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 Hydrodynamics2134080120160200SE +/- 0.57, N = 3SE +/- 2.20, N = 3SE +/- 2.28, N = 3180.51182.98189.731. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics213306090120150Min: 179.75 / Avg: 180.51 / Max: 181.62Min: 180.77 / Avg: 182.98 / Max: 187.38Min: 185.24 / Avg: 189.73 / Max: 192.681. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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: AUSURF1121239001800270036004500SE +/- 34.64, N = 3SE +/- 34.64, N = 34260426042601. (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: AUSURF1121237001400210028003500Min: 4200 / Avg: 4260 / Max: 4320Min: 4200 / Avg: 4260 / Max: 43201. (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

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: Rhodopsin Protein3121.24452.4893.73354.9786.2225SE +/- 0.019, N = 3SE +/- 0.015, N = 3SE +/- 0.048, N = 155.5315.5315.2181. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein312246810Min: 5.5 / Avg: 5.53 / Max: 5.57Min: 5.5 / Avg: 5.53 / Max: 5.55Min: 5 / Avg: 5.22 / Max: 5.621. (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 2.0.32319001800270036004500SE +/- 29.87, N = 15SE +/- 28.54, N = 15SE +/- 34.12, N = 154204.464186.024181.431. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.32317001400210028003500Min: 4112.41 / Avg: 4204.46 / Max: 4571.37Min: 4108.84 / Avg: 4186.02 / Max: 4552.87Min: 4047.51 / Avg: 4181.43 / Max: 4594.911. (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: 53210.22840.45680.68520.91361.142SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 31.0151.0121.010
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5321246810Min: 1.01 / Avg: 1.01 / Max: 1.02Min: 1.01 / Avg: 1.01 / Max: 1.02Min: 1.01 / Avg: 1.01 / Max: 1.02

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 63210.30470.60940.91411.21881.5235SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 31.3541.3521.352
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6321246810Min: 1.35 / Avg: 1.35 / Max: 1.36Min: 1.34 / Avg: 1.35 / Max: 1.37Min: 1.34 / Avg: 1.35 / Max: 1.37

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 102310.71211.42422.13632.84843.5605SE +/- 0.010, N = 3SE +/- 0.011, N = 3SE +/- 0.014, N = 33.1653.1603.157
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10231246810Min: 3.15 / Avg: 3.16 / Max: 3.18Min: 3.14 / Avg: 3.16 / Max: 3.18Min: 3.14 / Avg: 3.16 / Max: 3.18

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 Compile21360120180240300SE +/- 0.28, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3254.65255.30255.47
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile21350100150200250Min: 254.26 / Avg: 254.65 / Max: 255.19Min: 254.84 / Avg: 255.3 / Max: 255.97Min: 254.79 / Avg: 255.47 / Max: 255.87

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_100321130260390520650SE +/- 0.10, N = 3SE +/- 0.82, N = 3SE +/- 0.20, N = 3589.41587.94586.231. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100321100200300400500Min: 589.2 / Avg: 589.41 / Max: 589.52Min: 586.89 / Avg: 587.94 / Max: 589.56Min: 585.83 / Avg: 586.23 / Max: 586.491. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

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: SqueezeNetV1.02313691215SE +/- 0.222, N = 11SE +/- 0.261, N = 11SE +/- 0.244, N = 129.4369.5289.573MIN: 6.16 / MAX: 28.21MIN: 6.25 / MAX: 113.87MIN: 6.23 / MAX: 29.191. (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: SqueezeNetV1.02313691215Min: 7.26 / Avg: 9.44 / Max: 9.87Min: 6.96 / Avg: 9.53 / Max: 10.02Min: 6.97 / Avg: 9.57 / Max: 10.331. (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: resnet-v2-502311122334455SE +/- 0.12, N = 11SE +/- 0.06, N = 11SE +/- 0.08, N = 1249.2149.6949.73MIN: 45.41 / MAX: 96.34MIN: 44.35 / MAX: 74.15MIN: 43.89 / MAX: 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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-502311020304050Min: 48.48 / Avg: 49.21 / Max: 49.8Min: 49.37 / Avg: 49.69 / Max: 50.05Min: 49.17 / Avg: 49.73 / Max: 50.011. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2242130.95991.91982.87973.83964.7995SE +/- 0.064, N = 11SE +/- 0.066, N = 12SE +/- 0.074, N = 114.2454.2604.266MIN: 2.88 / MAX: 25MIN: 2.87 / MAX: 52.09MIN: 2.89 / MAX: 24.261. (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: MobileNetV2_224213246810Min: 3.63 / Avg: 4.24 / Max: 4.4Min: 3.63 / Avg: 4.26 / Max: 4.58Min: 3.6 / Avg: 4.27 / Max: 4.641. (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: mobilenet-v1-1.02311.03552.0713.10654.1425.1775SE +/- 0.024, N = 11SE +/- 0.016, N = 11SE +/- 0.046, N = 124.5194.5294.602MIN: 3.83 / MAX: 23.95MIN: 3.85 / MAX: 23.41MIN: 3.82 / MAX: 41.371. (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-v1-1.0231246810Min: 4.44 / Avg: 4.52 / Max: 4.73Min: 4.44 / Avg: 4.53 / Max: 4.6Min: 4.49 / Avg: 4.6 / Max: 5.091. (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-v32311326395265SE +/- 0.12, N = 11SE +/- 0.16, N = 11SE +/- 0.86, N = 1258.1958.5959.42MIN: 52.04 / MAX: 158.64MIN: 52.53 / MAX: 155.11MIN: 52.76 / MAX: 324.721. (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: inception-v32311224364860Min: 57.42 / Avg: 58.19 / Max: 58.71Min: 57.78 / Avg: 58.59 / Max: 59.34Min: 57.61 / Avg: 59.42 / Max: 68.581. (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 v223180160240320400SE +/- 0.31, N = 3SE +/- 0.77, N = 3SE +/- 2.92, N = 3367.89370.37371.97MIN: 366.71 / MAX: 377.07MIN: 368.32 / MAX: 380.7MIN: 366.42 / MAX: 381.291. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v223170140210280350Min: 367.3 / Avg: 367.89 / Max: 368.38Min: 368.87 / Avg: 370.37 / Max: 371.41Min: 367.02 / Avg: 371.97 / Max: 377.111. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.123180160240320400SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3359.68359.71359.76MIN: 359.34 / MAX: 361.25MIN: 359.4 / MAX: 360.39MIN: 359.52 / MAX: 360.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.123160120180240300Min: 359.63 / Avg: 359.67 / Max: 359.74Min: 359.55 / Avg: 359.71 / Max: 359.87Min: 359.68 / Avg: 359.76 / Max: 359.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl