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Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB 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 2009197-FI-TESTS716435
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Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS
September 18 2020
  9 Hours, 39 Minutes
Round 2
September 19 2020
  1 Hour, 54 Minutes
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testsOpenBenchmarking.orgPhoronix Test Suite 10.2.2Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads)ASUS X99-A (3902 BIOS)Intel Xeon E7 v3/Xeon16GBPNY CS900 240GBeVGA NVIDIA NVE7 1GBRealtek ALC1150G237HLIntel I218-VUbuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.8GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionTests PerformanceSystem Logs- --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,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x43- itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected - Round 2: Python 3.8.2

testsncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3kripke: mocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteingpaw: Carbon NanotubeIntel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUSRound 219.275.474.585.492.0853.21135.9725.1512.2590.8220.6124763312565.1195.074327.374OpenBenchmarking.org

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS510152025SE +/- 0.08, N = 319.27MIN: 18.89 / MAX: 30.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS1.23082.46163.69244.92326.154SE +/- 0.01, N = 35.47MIN: 5.4 / MAX: 5.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetIntel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS1.03052.0613.09154.1225.1525SE +/- 0.01, N = 34.58MIN: 4.46 / MAX: 4.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetIntel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS1.23532.47063.70594.94126.1765SE +/- 0.05, N = 35.49MIN: 5.33 / MAX: 6.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceIntel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS0.4680.9361.4041.8722.34SE +/- 0.05, N = 32.08MIN: 1.99 / MAX: 2.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS1224364860SE +/- 0.10, N = 353.21MIN: 52.92 / MAX: 70.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS306090120150SE +/- 0.21, N = 3135.97MIN: 135.41 / MAX: 151.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS612182430SE +/- 0.02, N = 325.15MIN: 25.02 / MAX: 29.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIntel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS3691215SE +/- 0.01, N = 312.25MIN: 12.18 / MAX: 13.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS20406080100SE +/- 0.03, N = 390.82MIN: 90.34 / MAX: 121.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS510152025SE +/- 0.18, N = 320.61MIN: 20.17 / MAX: 25.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 1.2.4Intel Xeon E5-1680 v3 - eVGA NVIDIA NVE7 1GB - ASUS500K1000K1500K2000K2500KSE +/- 68622.20, N = 924763311. (CXX) g++ options: -O3 -fopenmp

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Round 2601201802403002561. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -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 24Aug2020Model: 20k AtomsRound 21.15182.30363.45544.60725.759SE +/- 0.016, N = 35.1191. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRound 21.14172.28343.42514.56685.7085SE +/- 0.024, N = 35.0741. (CXX) g++ options: -O3 -pthread -lm

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeRound 270140210280350SE +/- 0.40, N = 3327.371. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi


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