E3-1280 v5 16 Jan

Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP 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 2101170-HA-E31280V5192
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E3-1280 v5 16 JanProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution12345Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads)MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS)Intel Xeon E3-1200 v5/E3-150032GB256GB TOSHIBA RD400ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SPRealtek ALC1150DELL S2409WIntel I219-VUbuntu 20.045.9.0-050900rc2daily20200826-generic (x86_64) 20200825GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 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: 0xe2 - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

12345Result OverviewPhoronix Test Suite100%101%101%102%102%Quantum ESPRESSOLAMMPS Molecular Dynamics Simulatorrav1eGoogle SynthMarkLULESHCloverLeafMobile Neural NetworkTNNTimed Godot Game Engine Compilation

E3-1280 v5 16 Jancloverleaf: Lagrangian-Eulerian Hydrodynamicsqe: AUSURF112lammps: Rhodopsin Proteinlulesh: rav1e: 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 v1.112345202.292398.732.8691175.52480.3711.0281.3372.695317.905602.8797.06348.1554.0354.56156.194364.524342.872201.812409.702.8521177.00920.3731.0291.3332.770317.668603.8997.07948.1674.0284.53955.953363.173342.091202.082421.372.8881171.02570.3741.0201.3302.770317.606605.6927.06348.3114.0294.54256.200363.539342.892202.232385.942.8991174.69070.3731.0281.3272.745317.714606.5627.03848.0934.0454.55455.390363.143342.709202.342393.202.8841175.28770.3741.0301.3302.751318.107604.6687.05148.1964.0254.54455.966363.236341.850OpenBenchmarking.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 Hydrodynamics123454080120160200SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3202.29201.81202.08202.23202.341. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics123454080120160200Min: 202.05 / Avg: 202.29 / Max: 202.58Min: 201.79 / Avg: 201.81 / Max: 201.84Min: 201.97 / Avg: 202.08 / Max: 202.19Min: 202.15 / Avg: 202.23 / Max: 202.3Min: 202.25 / Avg: 202.34 / Max: 202.421. (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: AUSURF112123455001000150020002500SE +/- 19.18, N = 3SE +/- 17.52, N = 3SE +/- 7.07, N = 3SE +/- 12.07, N = 3SE +/- 18.22, N = 32398.732409.702421.372385.942393.201. (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: AUSURF11212345400800120016002000Min: 2376.09 / Avg: 2398.73 / Max: 2436.86Min: 2374.68 / Avg: 2409.7 / Max: 2428.39Min: 2407.29 / Avg: 2421.37 / Max: 2429.57Min: 2371 / Avg: 2385.94 / Max: 2409.83Min: 2373.81 / Avg: 2393.2 / Max: 2429.621. (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: Rhodopsin Protein123450.65231.30461.95692.60923.2615SE +/- 0.008, N = 3SE +/- 0.034, N = 5SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.017, N = 32.8692.8522.8882.8992.8841. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12345246810Min: 2.86 / Avg: 2.87 / Max: 2.89Min: 2.72 / Avg: 2.85 / Max: 2.91Min: 2.87 / Avg: 2.89 / Max: 2.9Min: 2.89 / Avg: 2.9 / Max: 2.91Min: 2.85 / Avg: 2.88 / Max: 2.911. (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 2.0.31234530060090012001500SE +/- 2.31, N = 3SE +/- 2.17, N = 3SE +/- 1.90, N = 3SE +/- 1.48, N = 3SE +/- 2.82, N = 31175.521177.011171.031174.691175.291. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3123452004006008001000Min: 1171.06 / Avg: 1175.52 / Max: 1178.77Min: 1173.34 / Avg: 1177.01 / Max: 1180.86Min: 1168.14 / Avg: 1171.03 / Max: 1174.61Min: 1172.72 / Avg: 1174.69 / Max: 1177.6Min: 1169.73 / Avg: 1175.29 / Max: 1178.841. (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: 1123450.08420.16840.25260.33680.421SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.3710.3730.3740.3730.374
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11234512345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.38Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.38

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123450.23180.46360.69540.92721.159SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 31.0281.0291.0201.0281.030
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512345246810Min: 1.02 / Avg: 1.03 / Max: 1.03Min: 1.02 / Avg: 1.03 / Max: 1.03Min: 1 / Avg: 1.02 / Max: 1.03Min: 1.02 / Avg: 1.03 / Max: 1.04Min: 1.03 / Avg: 1.03 / Max: 1.04

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123450.30080.60160.90241.20321.504SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 31.3371.3331.3301.3271.330
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612345246810Min: 1.32 / Avg: 1.34 / Max: 1.35Min: 1.33 / Avg: 1.33 / Max: 1.34Min: 1.33 / Avg: 1.33 / Max: 1.33Min: 1.32 / Avg: 1.33 / Max: 1.34Min: 1.32 / Avg: 1.33 / Max: 1.34

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123450.62331.24661.86992.49323.1165SE +/- 0.012, N = 3SE +/- 0.028, N = 3SE +/- 0.023, N = 3SE +/- 0.040, N = 3SE +/- 0.016, N = 32.6952.7702.7702.7452.751
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012345246810Min: 2.68 / Avg: 2.7 / Max: 2.72Min: 2.73 / Avg: 2.77 / Max: 2.82Min: 2.73 / Avg: 2.77 / Max: 2.81Min: 2.67 / Avg: 2.75 / Max: 2.8Min: 2.73 / Avg: 2.75 / Max: 2.78

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 Compile1234570140210280350SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3317.91317.67317.61317.71318.11
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1234560120180240300Min: 317.46 / Avg: 317.91 / Max: 318.74Min: 317.19 / Avg: 317.67 / Max: 318Min: 317.06 / Avg: 317.61 / Max: 318.08Min: 317.51 / Avg: 317.71 / Max: 317.98Min: 317.6 / Avg: 318.11 / Max: 318.48

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_10012345130260390520650SE +/- 2.41, N = 3SE +/- 1.99, N = 3SE +/- 4.54, N = 3SE +/- 3.25, N = 3SE +/- 1.90, N = 3602.88603.90605.69606.56604.671. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_10012345110220330440550Min: 598.67 / Avg: 602.88 / Max: 607.01Min: 601.73 / Avg: 603.9 / Max: 607.87Min: 596.79 / Avg: 605.69 / Max: 611.7Min: 600.22 / Avg: 606.56 / Max: 610.99Min: 601.6 / Avg: 604.67 / Max: 608.141. (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: SqueezeNetV1.012345246810SE +/- 0.018, N = 3SE +/- 0.011, N = 3SE +/- 0.014, N = 3SE +/- 0.028, N = 3SE +/- 0.026, N = 37.0637.0797.0637.0387.051MIN: 6.98 / MAX: 12.37MIN: 6.99 / MAX: 28.74MIN: 6.97 / MAX: 20.17MIN: 6.94 / MAX: 12.31MIN: 6.95 / MAX: 12.411. (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: SqueezeNetV1.0123453691215Min: 7.04 / Avg: 7.06 / Max: 7.1Min: 7.06 / Avg: 7.08 / Max: 7.1Min: 7.04 / Avg: 7.06 / Max: 7.08Min: 7 / Avg: 7.04 / Max: 7.09Min: 7 / Avg: 7.05 / Max: 7.081. (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-v2-50123451122334455SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 348.1648.1748.3148.0948.20MIN: 46.94 / MAX: 73.19MIN: 46.85 / MAX: 70.25MIN: 47.08 / MAX: 73.01MIN: 47.75 / MAX: 74.29MIN: 47.34 / MAX: 71.621. (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-v2-50123451020304050Min: 47.97 / Avg: 48.16 / Max: 48.31Min: 47.99 / Avg: 48.17 / Max: 48.27Min: 48.16 / Avg: 48.31 / Max: 48.39Min: 47.91 / Avg: 48.09 / Max: 48.45Min: 47.94 / Avg: 48.2 / Max: 48.371. (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: MobileNetV2_224123450.91011.82022.73033.64044.5505SE +/- 0.012, N = 3SE +/- 0.008, N = 3SE +/- 0.019, N = 3SE +/- 0.019, N = 3SE +/- 0.028, N = 34.0354.0284.0294.0454.025MIN: 3.96 / MAX: 9.42MIN: 3.95 / MAX: 9.3MIN: 3.93 / MAX: 25.82MIN: 3.96 / MAX: 28.34MIN: 3.91 / 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: MobileNetV2_22412345246810Min: 4.02 / Avg: 4.03 / Max: 4.06Min: 4.01 / Avg: 4.03 / Max: 4.04Min: 4 / Avg: 4.03 / Max: 4.06Min: 4.01 / Avg: 4.05 / Max: 4.08Min: 3.97 / Avg: 4.03 / Max: 4.061. (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-v1-1.0123451.02622.05243.07864.10485.131SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.011, N = 3SE +/- 0.027, N = 34.5614.5394.5424.5544.544MIN: 4.51 / MAX: 27.61MIN: 4.49 / MAX: 9.76MIN: 4.49 / MAX: 26.61MIN: 4.49 / MAX: 24.93MIN: 4.46 / MAX: 26.51. (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-v1-1.012345246810Min: 4.55 / Avg: 4.56 / Max: 4.57Min: 4.53 / Avg: 4.54 / Max: 4.54Min: 4.52 / Avg: 4.54 / Max: 4.56Min: 4.53 / Avg: 4.55 / Max: 4.57Min: 4.49 / Avg: 4.54 / Max: 4.581. (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: inception-v3123451326395265SE +/- 0.22, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.57, N = 3SE +/- 0.56, N = 356.1955.9556.2055.3955.97MIN: 55.27 / MAX: 79.64MIN: 55.47 / MAX: 78.72MIN: 54.94 / MAX: 80.7MIN: 53.82 / MAX: 78.73MIN: 54.54 / MAX: 82.291. (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: inception-v3123451122334455Min: 55.77 / Avg: 56.19 / Max: 56.45Min: 55.76 / Avg: 55.95 / Max: 56.29Min: 55.74 / Avg: 56.2 / Max: 56.45Min: 54.35 / Avg: 55.39 / Max: 56.32Min: 54.85 / Avg: 55.97 / Max: 56.611. (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

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 v21234580160240320400SE +/- 0.65, N = 3SE +/- 0.11, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 3SE +/- 0.46, N = 3364.52363.17363.54363.14363.24MIN: 362 / MAX: 381.13MIN: 361.43 / MAX: 373.5MIN: 361.31 / MAX: 366.97MIN: 361.39 / MAX: 373.82MIN: 361.38 / MAX: 371.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21234570140210280350Min: 363.33 / Avg: 364.52 / Max: 365.57Min: 362.99 / Avg: 363.17 / Max: 363.37Min: 362.82 / Avg: 363.54 / Max: 364.21Min: 362.94 / Avg: 363.14 / Max: 363.54Min: 362.64 / Avg: 363.24 / Max: 364.141. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234570140210280350SE +/- 0.24, N = 3SE +/- 0.44, N = 3SE +/- 0.12, N = 3SE +/- 0.43, N = 3SE +/- 0.34, N = 3342.87342.09342.89342.71341.85MIN: 340.83 / MAX: 345.96MIN: 339.81 / MAX: 344.69MIN: 341.16 / MAX: 345.9MIN: 340.66 / MAX: 345.37MIN: 340.08 / MAX: 344.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234560120180240300Min: 342.63 / Avg: 342.87 / Max: 343.34Min: 341.46 / Avg: 342.09 / Max: 342.94Min: 342.76 / Avg: 342.89 / Max: 343.13Min: 341.85 / Avg: 342.71 / Max: 343.18Min: 341.29 / Avg: 341.85 / Max: 342.471. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl