8100 Sat

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 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 2101177-HA-8100SAT4499
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8100 SatProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution1234Intel Core i3-8100 @ 3.60GHz (4 Cores)ASRock Z370M-ITX/ac (P4.10 BIOS)Intel 8th Gen Core 4-core Desktop8GB60GB DREVO X1 SSDIntel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz)Realtek ALC892VA2431Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGWUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 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=/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_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

1234Result OverviewPhoronix Test Suite 10.4.0m1100%101%101%102%CloverLeafGoogle SynthMarkKripkeLULESHdav1dTNNOpenFOAMAlgebraic Multi-Grid BenchmarkMobile Neural NetworkLAMMPS Molecular Dynamics Simulatorrav1eCP2K Molecular DynamicsTimed Godot Game Engine Compilation

8100 Satcloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: Fayalite-FIST Dataamg: openfoam: Motorbike 30Mlammps: Rhodopsin Proteinlulesh: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 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 v1.1kripke: 1234172.311252.105197095100347.202.8691150.4889250.6968.29230.3656.600.3671.0321.3653.001387.224565.8955.98331.2583.7544.43240.210369.467376.29936741463177.131252.297197756233345.812.8711156.8410250.6568.85230.6956.630.3661.0331.3683.007387.303570.2565.97131.2643.7404.41840.090369.537376.11537037290177.181252.809197683467345.582.8731154.7481251.5168.81231.4156.600.3651.0341.3663.008387.053564.9325.94331.2323.7584.42740.179368.343376.00137021727177.311247.234197711733345.842.8671154.4245250.3968.66231.0756.630.3661.0341.3683.008387.118570.3295.97831.2753.7434.41840.200368.415376.10636968837OpenBenchmarking.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 Hydrodynamics12344080120160200SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3172.31177.13177.18177.311. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234306090120150Min: 172.22 / Avg: 172.31 / Max: 172.39Min: 177.07 / Avg: 177.13 / Max: 177.21Min: 177.1 / Avg: 177.18 / Max: 177.26Min: 177.23 / Avg: 177.31 / Max: 177.41. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 Data1234300600900120015001252.111252.301252.811247.23

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 1.2123440M80M120M160M200MSE +/- 354384.89, N = 3SE +/- 48896.40, N = 3SE +/- 103190.20, N = 3SE +/- 60212.02, N = 31970951001977562331976834671977117331. (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 1.2123430M60M90M120M150MMin: 196387100 / Avg: 197095100 / Max: 197477700Min: 197694100 / Avg: 197756233.33 / Max: 197852700Min: 197478000 / Avg: 197683466.67 / Max: 197803000Min: 197592300 / Avg: 197711733.33 / Max: 1977848001. (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 30M123480160240320400SE +/- 0.29, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 3SE +/- 0.06, N = 3347.20345.81345.58345.841. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123460120180240300Min: 346.72 / Avg: 347.2 / Max: 347.72Min: 345.64 / Avg: 345.81 / Max: 346.06Min: 345.25 / Avg: 345.58 / Max: 345.99Min: 345.75 / Avg: 345.84 / Max: 345.961. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

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 Protein12340.64641.29281.93922.58563.232SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 32.8692.8712.8732.8671. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1234246810Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 2.85 / Avg: 2.87 / Max: 2.88Min: 2.87 / Avg: 2.87 / Max: 2.88Min: 2.86 / Avg: 2.87 / Max: 2.881. (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 2.0.312342004006008001000SE +/- 0.78, N = 3SE +/- 0.80, N = 3SE +/- 0.18, N = 3SE +/- 1.18, N = 31150.491156.841154.751154.421. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.312342004006008001000Min: 1149.69 / Avg: 1150.49 / Max: 1152.04Min: 1155.44 / Avg: 1156.84 / Max: 1158.22Min: 1154.43 / Avg: 1154.75 / Max: 1155.04Min: 1152.64 / Avg: 1154.42 / Max: 1156.651. (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 1080p123450100150200250SE +/- 0.15, N = 3SE +/- 0.64, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3250.69250.65251.51250.39MIN: 179.47 / MAX: 427.64MIN: 179.42 / MAX: 427.14MIN: 180.13 / MAX: 433.66MIN: 179.47 / MAX: 438.681. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123450100150200250Min: 250.41 / Avg: 250.69 / Max: 250.91Min: 249.59 / Avg: 250.65 / Max: 251.79Min: 251.18 / Avg: 251.51 / Max: 251.81Min: 250.23 / Avg: 250.39 / Max: 250.581. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12341530456075SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 368.2968.8568.8168.66MIN: 63.3 / MAX: 80.24MIN: 63.77 / MAX: 80.61MIN: 63.68 / MAX: 80.86MIN: 63.59 / MAX: 80.291. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12341326395265Min: 68.13 / Avg: 68.29 / Max: 68.4Min: 68.77 / Avg: 68.85 / Max: 68.98Min: 68.58 / Avg: 68.81 / Max: 68.98Min: 68.59 / Avg: 68.66 / Max: 68.711. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123450100150200250SE +/- 0.24, N = 3SE +/- 0.60, N = 3SE +/- 0.81, N = 3SE +/- 1.29, N = 3230.36230.69231.41231.07MIN: 213.26 / MAX: 252.57MIN: 214.11 / MAX: 253.62MIN: 215.01 / MAX: 255.78MIN: 213.65 / MAX: 255.311. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12344080120160200Min: 229.96 / Avg: 230.36 / Max: 230.78Min: 229.57 / Avg: 230.69 / Max: 231.62Min: 230.34 / Avg: 231.41 / Max: 233Min: 229.14 / Avg: 231.07 / Max: 233.521. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12341326395265SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 356.6056.6356.6056.63MIN: 39.04 / MAX: 125.03MIN: 39.01 / MAX: 125.66MIN: 39 / MAX: 124.89MIN: 39.04 / MAX: 124.381. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12341122334455Min: 56.57 / Avg: 56.6 / Max: 56.63Min: 56.55 / Avg: 56.63 / Max: 56.7Min: 56.58 / Avg: 56.6 / Max: 56.63Min: 56.5 / Avg: 56.63 / Max: 56.741. (CC) gcc options: -pthread

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: 112340.08260.16520.24780.33040.413SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.3670.3660.3650.366
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123412345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512340.23270.46540.69810.93081.1635SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.0321.0331.0341.034
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 1.03 / Avg: 1.03 / Max: 1.03Min: 1.03 / Avg: 1.03 / Max: 1.04Min: 1.03 / Avg: 1.03 / Max: 1.04Min: 1.03 / Avg: 1.03 / Max: 1.04

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612340.30780.61560.92341.23121.539SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 31.3651.3681.3661.368
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 1.37 / Avg: 1.37 / Max: 1.37Min: 1.37 / Avg: 1.37 / Max: 1.37Min: 1.36 / Avg: 1.37 / Max: 1.37Min: 1.37 / Avg: 1.37 / Max: 1.37

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012340.67681.35362.03042.70723.384SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 33.0013.0073.0083.008
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 2.99 / Avg: 3 / Max: 3.01Min: 3 / Avg: 3.01 / Max: 3.01Min: 3 / Avg: 3.01 / Max: 3.01Min: 2.99 / Avg: 3.01 / Max: 3.02

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 Compile123480160240320400SE +/- 0.46, N = 3SE +/- 0.30, N = 3SE +/- 0.34, N = 3SE +/- 0.27, N = 3387.22387.30387.05387.12
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile123470140210280350Min: 386.72 / Avg: 387.22 / Max: 388.15Min: 386.94 / Avg: 387.3 / Max: 387.91Min: 386.57 / Avg: 387.05 / Max: 387.72Min: 386.8 / Avg: 387.12 / Max: 387.65

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_1001234120240360480600SE +/- 4.11, N = 3SE +/- 0.14, N = 3SE +/- 4.65, N = 3SE +/- 0.16, N = 3565.90570.26564.93570.331. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_1001234100200300400500Min: 557.68 / Avg: 565.9 / Max: 570.13Min: 569.99 / Avg: 570.26 / Max: 570.43Min: 555.64 / Avg: 564.93 / Max: 570.04Min: 570.08 / Avg: 570.33 / Max: 570.611. (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: SqueezeNetV1.012341.34622.69244.03865.38486.731SE +/- 0.023, N = 3SE +/- 0.020, N = 3SE +/- 0.010, N = 3SE +/- 0.012, N = 35.9835.9715.9435.978MIN: 5.89 / MAX: 15.52MIN: 5.89 / MAX: 7.5MIN: 5.86 / MAX: 7.47MIN: 5.88 / MAX: 16.581. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.01234246810Min: 5.95 / Avg: 5.98 / Max: 6.03Min: 5.95 / Avg: 5.97 / Max: 6.01Min: 5.93 / Avg: 5.94 / Max: 5.96Min: 5.96 / Avg: 5.98 / Max: 61. (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-v2-501234714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 331.2631.2631.2331.28MIN: 31.15 / MAX: 42.02MIN: 31.15 / MAX: 46.44MIN: 31.13 / MAX: 47.15MIN: 31.17 / MAX: 39.951. (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 1.1.1Model: resnet-v2-501234714212835Min: 31.23 / Avg: 31.26 / Max: 31.28Min: 31.23 / Avg: 31.26 / Max: 31.32Min: 31.2 / Avg: 31.23 / Max: 31.26Min: 31.23 / Avg: 31.28 / Max: 31.321. (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_22412340.84561.69122.53683.38244.228SE +/- 0.010, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 33.7543.7403.7583.743MIN: 3.68 / MAX: 13.26MIN: 3.68 / MAX: 4.71MIN: 3.68 / MAX: 4.42MIN: 3.67 / MAX: 14.551. (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_2241234246810Min: 3.74 / Avg: 3.75 / Max: 3.77Min: 3.74 / Avg: 3.74 / Max: 3.74Min: 3.75 / Avg: 3.76 / Max: 3.77Min: 3.74 / Avg: 3.74 / Max: 3.751. (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-v1-1.012340.99721.99442.99163.98884.986SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 34.4324.4184.4274.418MIN: 4.37 / MAX: 6.1MIN: 4.36 / MAX: 7.17MIN: 4.36 / MAX: 5MIN: 4.35 / MAX: 7.141. (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-v1-1.01234246810Min: 4.43 / Avg: 4.43 / Max: 4.44Min: 4.41 / Avg: 4.42 / Max: 4.43Min: 4.42 / Avg: 4.43 / Max: 4.44Min: 4.41 / Avg: 4.42 / Max: 4.421. (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-v31234918273645SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 340.2140.0940.1840.20MIN: 39.84 / MAX: 68.33MIN: 39.83 / MAX: 55.4MIN: 39.98 / MAX: 67.94MIN: 39.92 / MAX: 57.121. (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: inception-v31234816243240Min: 39.97 / Avg: 40.21 / Max: 40.39Min: 39.94 / Avg: 40.09 / Max: 40.18Min: 40.17 / Avg: 40.18 / Max: 40.18Min: 40.04 / Avg: 40.2 / Max: 40.461. (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 v2123480160240320400SE +/- 1.13, N = 3SE +/- 1.09, N = 3SE +/- 0.96, N = 3SE +/- 1.07, N = 3369.47369.54368.34368.42MIN: 366.97 / MAX: 377.28MIN: 366.44 / MAX: 373.21MIN: 366.34 / MAX: 378.97MIN: 366.37 / MAX: 372.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2123470140210280350Min: 368.12 / Avg: 369.47 / Max: 371.7Min: 367.46 / Avg: 369.54 / Max: 371.15Min: 367.26 / Avg: 368.34 / Max: 370.26Min: 367.2 / Avg: 368.41 / Max: 370.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1123480160240320400SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3376.30376.12376.00376.11MIN: 375.39 / MAX: 377.63MIN: 375.36 / MAX: 377.27MIN: 375.29 / MAX: 376.84MIN: 375.46 / MAX: 377.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1123470140210280350Min: 376.06 / Avg: 376.3 / Max: 376.76Min: 375.99 / Avg: 376.12 / Max: 376.27Min: 375.93 / Avg: 376 / Max: 376.09Min: 375.95 / Avg: 376.11 / Max: 376.281. (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 1.2.412348M16M24M32M40MSE +/- 323689.13, N = 3SE +/- 75604.51, N = 3SE +/- 94403.69, N = 3SE +/- 17346.84, N = 3367414633703729037021727369688371. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.412346M12M18M24M30MMin: 36101210 / Avg: 36741463.33 / Max: 37144540Min: 36886250 / Avg: 37037290 / Max: 37119000Min: 36834070 / Avg: 37021726.67 / Max: 37133580Min: 36937930 / Avg: 36968836.67 / Max: 369979401. (CXX) g++ options: -O3 -fopenmp