1275 mon

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 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 2101196-HA-1275MON9802
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1275 monProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverOpenCLCompilerFile-SystemScreen Resolution123Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 (1150MHz)Realtek ALC1150DELL S2409W2 x Intel I210Ubuntu 20.045.9.0-050900rc8daily20201007-generic (x86_64) 20201006X Server 1.20.8modesetting 1.20.8OpenCL 2.1GCC 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 1.9.1 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

123Result OverviewPhoronix Test Suite 10.4.0m1100%101%101%102%Quantum ESPRESSOrav1eCloverLeafLAMMPS Molecular Dynamics SimulatorMobile Neural NetworkONNX RuntimeGoogle SynthMarkTimed Godot Game Engine Compilation

1275 moncloverleaf: Lagrangian-Eulerian Hydrodynamicsqe: AUSURF112lammps: 20k Atomslammps: Rhodopsin Proteinrav1e: 1rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilesynthmark: VoiceMark_100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3onnx: yolov4 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPU123177.722142.253.1983.0800.4031.1191.4223.011293.376652.1096.39942.6353.6204.13249.95426139442146583065175.332189.263.2033.1420.4041.1051.4312.958292.910653.7166.42842.6213.6164.14950.33726239642146453071175.392174.843.1863.1480.4001.0971.4242.940292.894652.1546.37942.6363.6154.13249.58826139442146433053OpenBenchmarking.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 Hydrodynamics1324080120160200SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3177.72175.39175.331. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics132306090120150Min: 177.71 / Avg: 177.72 / Max: 177.72Min: 175.21 / Avg: 175.39 / Max: 175.49Min: 175.26 / Avg: 175.33 / Max: 175.441. (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: AUSURF1122315001000150020002500SE +/- 17.17, N = 3SE +/- 26.68, N = 3SE +/- 7.58, N = 32189.262174.842142.251. (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: AUSURF112231400800120016002000Min: 2155.08 / Avg: 2189.26 / Max: 2209.12Min: 2148.15 / Avg: 2174.84 / Max: 2228.2Min: 2127.48 / Avg: 2142.25 / Max: 2152.621. (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: 20k Atoms3120.72071.44142.16212.88283.6035SE +/- 0.007, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 33.1863.1983.2031. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms312246810Min: 3.17 / Avg: 3.19 / Max: 3.2Min: 3.2 / Avg: 3.2 / Max: 3.2Min: 3.2 / Avg: 3.2 / Max: 3.211. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.70831.41662.12492.83323.5415SE +/- 0.049, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 33.0803.1423.1481. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 2.98 / Avg: 3.08 / Max: 3.14Min: 3.14 / Avg: 3.14 / Max: 3.15Min: 3.14 / Avg: 3.15 / Max: 3.161. (CXX) g++ options: -O3 -pthread -lm

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: 13120.09090.18180.27270.36360.4545SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4000.4030.404
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 131212345Min: 0.39 / Avg: 0.4 / Max: 0.41Min: 0.4 / Avg: 0.4 / Max: 0.41Min: 0.4 / Avg: 0.4 / Max: 0.41

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 53210.25180.50360.75541.00721.259SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 31.0971.1051.119
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5321246810Min: 1.08 / Avg: 1.1 / Max: 1.12Min: 1.09 / Avg: 1.11 / Max: 1.12Min: 1.12 / Avg: 1.12 / Max: 1.12

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61320.3220.6440.9661.2881.61SE +/- 0.002, N = 3SE +/- 0.021, N = 3SE +/- 0.018, N = 31.4221.4241.431
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6132246810Min: 1.42 / Avg: 1.42 / Max: 1.43Min: 1.39 / Avg: 1.42 / Max: 1.46Min: 1.41 / Avg: 1.43 / Max: 1.47

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 103210.67751.3552.03252.713.3875SE +/- 0.028, N = 15SE +/- 0.008, N = 3SE +/- 0.015, N = 32.9402.9583.011
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10321246810Min: 2.79 / Avg: 2.94 / Max: 3.11Min: 2.94 / Avg: 2.96 / Max: 2.97Min: 2.99 / Avg: 3.01 / Max: 3.04

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 Compile12360120180240300SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.29, N = 3293.38292.91292.89
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12350100150200250Min: 293.31 / Avg: 293.38 / Max: 293.44Min: 292.31 / Avg: 292.91 / Max: 293.23Min: 292.34 / Avg: 292.89 / Max: 293.31

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_100132140280420560700SE +/- 1.40, N = 3SE +/- 0.96, N = 3SE +/- 1.41, N = 3652.11652.15653.721. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100132120240360480600Min: 649.3 / Avg: 652.11 / Max: 653.59Min: 650.68 / Avg: 652.15 / Max: 653.95Min: 651.09 / Avg: 653.72 / Max: 655.911. (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: SqueezeNetV1.0213246810SE +/- 0.016, N = 3SE +/- 0.012, N = 3SE +/- 0.012, N = 36.4286.3996.379MIN: 6.34 / MAX: 6.81MIN: 6.33 / MAX: 6.97MIN: 6.31 / MAX: 7.491. (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: SqueezeNetV1.02133691215Min: 6.4 / Avg: 6.43 / Max: 6.45Min: 6.38 / Avg: 6.4 / Max: 6.42Min: 6.36 / Avg: 6.38 / Max: 6.41. (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-v2-503121020304050SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 342.6442.6442.62MIN: 42.47 / MAX: 46.43MIN: 42.36 / MAX: 46.51MIN: 42.49 / MAX: 43.171. (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-v2-50312918273645Min: 42.55 / Avg: 42.64 / Max: 42.76Min: 42.52 / Avg: 42.64 / Max: 42.78Min: 42.58 / Avg: 42.62 / Max: 42.691. (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: MobileNetV2_2241230.81451.6292.44353.2584.0725SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 33.6203.6163.615MIN: 3.58 / MAX: 4.12MIN: 3.57 / MAX: 4.09MIN: 3.55 / MAX: 7.751. (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: MobileNetV2_224123246810Min: 3.62 / Avg: 3.62 / Max: 3.62Min: 3.61 / Avg: 3.62 / Max: 3.62Min: 3.58 / Avg: 3.61 / Max: 3.631. (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-v1-1.02310.93351.8672.80053.7344.6675SE +/- 0.004, N = 3SE +/- 0.010, N = 3SE +/- 0.007, N = 34.1494.1324.132MIN: 4.12 / MAX: 5.25MIN: 4.09 / MAX: 4.38MIN: 4.09 / MAX: 4.651. (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: 4.14 / Avg: 4.15 / Max: 4.15Min: 4.12 / Avg: 4.13 / Max: 4.15Min: 4.12 / Avg: 4.13 / Max: 4.141. (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: inception-v32131122334455SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.45, N = 350.3449.9549.59MIN: 50.16 / MAX: 53.73MIN: 49.51 / MAX: 54.41MIN: 48.57 / MAX: 52.851. (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-v32131020304050Min: 50.32 / Avg: 50.34 / Max: 50.36Min: 49.66 / Avg: 49.95 / Max: 50.39Min: 48.71 / Avg: 49.59 / Max: 50.241. (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

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU13260120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 32612612621. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU13250100150200250Min: 260.5 / Avg: 260.83 / Max: 261.5Min: 260.5 / Avg: 261.17 / Max: 261.5Min: 260.5 / Avg: 261.5 / Max: 2621. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPU13290180270360450SE +/- 0.93, N = 3SE +/- 0.29, N = 33943943961. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPU13270140210280350Min: 392 / Avg: 393.83 / Max: 395Min: 395 / Avg: 395.5 / Max: 3961. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPU1231020304050SE +/- 0.17, N = 3SE +/- 0.17, N = 34242421. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPU123918273645Min: 41.5 / Avg: 41.67 / Max: 42Min: 41.5 / Avg: 41.67 / Max: 421. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPU3213K6K9K12K15KSE +/- 18.41, N = 3SE +/- 7.26, N = 3SE +/- 20.94, N = 31464314645146581. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPU3213K6K9K12K15KMin: 14608 / Avg: 14643.33 / Max: 14670Min: 14631 / Avg: 14645.33 / Max: 14654.5Min: 14628.5 / Avg: 14658 / Max: 14698.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPU3127001400210028003500SE +/- 5.29, N = 3SE +/- 6.94, N = 3SE +/- 9.06, N = 33053306530711. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPU3125001000150020002500Min: 3044.5 / Avg: 3052.5 / Max: 3062.5Min: 3053 / Avg: 3065.33 / Max: 3077Min: 3053.5 / Avg: 3071.33 / Max: 30831. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt