Xeon 5220R 2P September

2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and llvmpipe 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 2009219-FI-XEON5220R43
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 4 Tests
Compression Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 2 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 11 Tests
Machine Learning 4 Tests
Molecular Dynamics 4 Tests
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Multi-Core 6 Tests
NVIDIA GPU Compute 4 Tests
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Scientific Computing 7 Tests
Server CPU Tests 3 Tests

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Linux 5.8
September 20 2020
  7 Hours, 34 Minutes
Linux 5.8.10
September 20 2020
  7 Hours, 35 Minutes
Linux 5.8.10 Repeat
September 20 2020
  7 Hours, 27 Minutes
Linux 5.9-rc6
September 21 2020
  10 Hours, 6 Minutes
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  8 Hours, 11 Minutes

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Linux 5.8

Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE

OS: Ubuntu 20.04, Kernel: 5.8.0-rc2-phx-fgkaslr (x86_64) 20200624, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of TSX disabled

Linux 5.8.10

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of TSX disabled

Linux 5.8.10 Repeat

OS: Ubuntu 20.04, Kernel: 5.8.10-050810-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Linux 5.9-rc6

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Xeon 5220R 2P SeptemberOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads)TYAN S7106 (V2.01.B40 BIOS)Intel Sky Lake-E DMI3 Registers94GB500GB Samsung SSD 860llvmpipeVE2282 x Intel I210 + 2 x QLogic cLOM8214 1/10GbEUbuntu 20.045.8.0-rc2-phx-fgkaslr (x86_64) 202006245.8.10-050810-generic (x86_64)5.9.0-050900rc6-generic (x86_64) 20200920GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionXeon 5220R 2P September BenchmarksSystem 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: 0x5002f01- Python 3.8.2- Linux 5.8: itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of TSX disabled - Linux 5.8.10: 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: Mitigation of TSX disabled - Linux 5.8.10 Repeat: 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: Mitigation of TSX disabled - Linux 5.9-rc6: 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: Mitigation of TSX disabled

Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Result OverviewPhoronix Test Suite100%101%102%103%104%LAMMPS Molecular Dynamics SimulatorMobile Neural NetworkLeelaChessZeroIncompact3DZstd CompressionSystem GZIP DecompressionNCNNNAMDGPAWGROMACSAOM AV1BlenderMonte Carlo Simulations of Ionised NebulaeTensorFlow Lite

Xeon 5220R 2P Septemberlczero: BLASlczero: Eigenlczero: Randnamd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteincompress-zstd: 3compress-zstd: 19aom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesystem-decompress-gzip: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2gpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: 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_yolov3blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlykripke: Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6186516921273800.60988194.24784521217.33115.7474464.6101.70.271.9310.932.9223.363.2933.41890562.2127227011574560961.364070.31116347101.6839.79635.9946.2776.25333.47919.8410.8210.6410.474.9352.86101.2223.7311.1377.2824.1260.50173.4584.17252.91193.6646092013184616831267940.61364191.26596021217.40315.2364378.8102.40.271.9310.862.9522.853.3433.39889780.3126893311689261134.163909.21128643101.0039.34935.9205.9656.23333.46820.3410.8910.7410.395.0153.6899.7524.3611.2977.5724.1560.33173.4984.12251.13194.03184416631274330.61466190.19116721217.43116.5254413.899.10.271.9110.912.8523.553.2943.40190679.9126932311989261597.164008.91123207101.4049.32136.1685.8866.23733.14620.0711.1010.5410.624.9854.02103.6423.8511.2377.5524.3460.26173.7184.03248.15193.6344677681180516401272990.61327191.16708921217.43416.4174561.797.40.261.9311.032.9623.653.3423.41089781.2126819711846960582.864042.71119530101.6379.85436.0206.5856.19933.46620.2611.0110.6110.694.8952.8399.7823.3411.1577.1624.4460.24173.3284.55247.99193.6044337164OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6400800120016002000SE +/- 24.22, N = 3SE +/- 14.31, N = 3SE +/- 16.04, N = 3SE +/- 24.09, N = 918651846184418051. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc630060090012001500Min: 1817 / Avg: 1864.67 / Max: 1896Min: 1824 / Avg: 1846.33 / Max: 1873Min: 1826 / Avg: 1844 / Max: 1876Min: 1690 / Avg: 1804.56 / Max: 18951. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6400800120016002000SE +/- 22.45, N = 3SE +/- 22.55, N = 3SE +/- 17.94, N = 3SE +/- 24.02, N = 416921683166316401. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc630060090012001500Min: 1666 / Avg: 1692.33 / Max: 1737Min: 1638 / Avg: 1683 / Max: 1708Min: 1638 / Avg: 1663.33 / Max: 1698Min: 1572 / Avg: 1640 / Max: 16821. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.8.10 RepeatLinux 5.8Linux 5.9-rc6Linux 5.8.1030K60K90K120K150KSE +/- 515.69, N = 3SE +/- 68.90, N = 3SE +/- 245.54, N = 3SE +/- 494.96, N = 31274331273801272991267941. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.8.10 RepeatLinux 5.8Linux 5.9-rc6Linux 5.8.1020K40K60K80K100KMin: 126692 / Avg: 127433.33 / Max: 128425Min: 127253 / Avg: 127379.67 / Max: 127490Min: 126813 / Avg: 127299 / Max: 127603Min: 125876 / Avg: 126793.67 / Max: 1275741. (CXX) g++ options: -flto -pthread

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 Repeat0.13830.27660.41490.55320.6915SE +/- 0.00213, N = 3SE +/- 0.00224, N = 3SE +/- 0.00294, N = 3SE +/- 0.00273, N = 30.609880.613270.613640.61466
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 Repeat246810Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.61 / Avg: 0.61 / Max: 0.62

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10Linux 5.84080120160200SE +/- 0.51, N = 3SE +/- 0.58, N = 3SE +/- 0.81, N = 3SE +/- 2.59, N = 12190.19191.17191.27194.251. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10Linux 5.84080120160200Min: 189.48 / Avg: 190.19 / Max: 191.19Min: 190.46 / Avg: 191.17 / Max: 192.31Min: 189.67 / Avg: 191.27 / Max: 192.27Min: 190.48 / Avg: 194.25 / Max: 222.631. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 tau100.0Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc650100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 32122122122121. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc64080120160200Min: 212 / Avg: 212.33 / Max: 213Min: 212 / Avg: 212.33 / Max: 2131. (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 AtomsLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.848121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.4317.4317.4017.331. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.848121620Min: 17.39 / Avg: 17.43 / Max: 17.47Min: 17.36 / Avg: 17.43 / Max: 17.47Min: 17.38 / Avg: 17.4 / Max: 17.45Min: 17.29 / Avg: 17.33 / Max: 17.381. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8Linux 5.8.1048121620SE +/- 0.17, N = 15SE +/- 0.16, N = 15SE +/- 0.21, N = 4SE +/- 0.52, N = 1516.5316.4215.7515.241. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8Linux 5.8.1048121620Min: 14.69 / Avg: 16.53 / Max: 17.41Min: 15.13 / Avg: 16.42 / Max: 17.23Min: 15.28 / Avg: 15.75 / Max: 16.25Min: 11.65 / Avg: 15.24 / Max: 17.561. (CXX) g++ options: -O3 -pthread -lm

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.1010002000300040005000SE +/- 58.92, N = 15SE +/- 62.21, N = 4SE +/- 20.52, N = 3SE +/- 69.44, N = 154561.74464.64413.84378.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.108001600240032004000Min: 4192.8 / Avg: 4561.73 / Max: 4843.7Min: 4372.3 / Avg: 4464.55 / Max: 4647.2Min: 4379.3 / Avg: 4413.8 / Max: 4450.3Min: 3811.9 / Avg: 4378.81 / Max: 48331. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.8.10Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc620406080100SE +/- 0.58, N = 3SE +/- 1.54, N = 15SE +/- 1.12, N = 15SE +/- 1.33, N = 15102.4101.799.197.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.8.10Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc620406080100Min: 101.8 / Avg: 102.43 / Max: 103.6Min: 88.6 / Avg: 101.75 / Max: 109.5Min: 91.9 / Avg: 99.11 / Max: 108.8Min: 90.2 / Avg: 97.39 / Max: 108.31. (CC) gcc options: -O3 -pthread -lz -llzma

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc60.06080.12160.18240.24320.304SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.270.270.270.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc612345Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.26 / Avg: 0.27 / Max: 0.27Min: 0.26 / Avg: 0.26 / Max: 0.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.9-rc6Linux 5.8.10Linux 5.8Linux 5.8.10 Repeat0.43430.86861.30291.73722.1715SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.931.931.931.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.9-rc6Linux 5.8.10Linux 5.8Linux 5.8.10 Repeat246810Min: 1.92 / Avg: 1.93 / Max: 1.94Min: 1.93 / Avg: 1.93 / Max: 1.93Min: 1.92 / Avg: 1.93 / Max: 1.93Min: 1.87 / Avg: 1.91 / Max: 1.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.103691215SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 311.0310.9310.9110.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.103691215Min: 10.72 / Avg: 11.03 / Max: 11.26Min: 10.89 / Avg: 10.93 / Max: 10.99Min: 10.79 / Avg: 10.91 / Max: 10.98Min: 10.79 / Avg: 10.86 / Max: 10.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.9-rc6Linux 5.8.10Linux 5.8Linux 5.8.10 Repeat0.6661.3321.9982.6643.33SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 32.962.952.922.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.9-rc6Linux 5.8.10Linux 5.8Linux 5.8.10 Repeat246810Min: 2.95 / Avg: 2.96 / Max: 2.97Min: 2.94 / Avg: 2.95 / Max: 2.96Min: 2.85 / Avg: 2.92 / Max: 2.95Min: 2.84 / Avg: 2.85 / Max: 2.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8Linux 5.8.10612182430SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 323.6523.5523.3622.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8Linux 5.8.10612182430Min: 23.52 / Avg: 23.65 / Max: 23.77Min: 23.11 / Avg: 23.55 / Max: 23.98Min: 23.05 / Avg: 23.36 / Max: 23.63Min: 22.75 / Avg: 22.85 / Max: 22.931. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.8Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.100.75221.50442.25663.00883.761SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.050, N = 14SE +/- 0.046, N = 143.2933.2943.3423.343
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.8Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10246810Min: 3.29 / Avg: 3.29 / Max: 3.3Min: 3.29 / Avg: 3.29 / Max: 3.3Min: 3.29 / Avg: 3.34 / Max: 3.99Min: 3.29 / Avg: 3.34 / Max: 3.94

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkLinux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.100.76911.53822.30733.07643.8455SE +/- 0.011, N = 3SE +/- 0.019, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 33.4183.4103.4013.3981. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkLinux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10246810Min: 3.4 / Avg: 3.42 / Max: 3.44Min: 3.37 / Avg: 3.41 / Max: 3.44Min: 3.38 / Avg: 3.4 / Max: 3.42Min: 3.39 / Avg: 3.4 / Max: 3.411. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.8.10Linux 5.9-rc6Linux 5.8Linux 5.8.10 Repeat20K40K60K80K100KSE +/- 143.18, N = 3SE +/- 157.63, N = 3SE +/- 611.66, N = 3SE +/- 173.90, N = 389780.389781.290562.290679.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.8.10Linux 5.9-rc6Linux 5.8Linux 5.8.10 Repeat16K32K48K64K80KMin: 89565.3 / Avg: 89780.3 / Max: 90051.6Min: 89480.8 / Avg: 89781.23 / Max: 90014.2Min: 89807.8 / Avg: 90562.2 / Max: 91773.4Min: 90390.3 / Avg: 90679.87 / Max: 90991.5

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 RepeatLinux 5.8300K600K900K1200K1500KSE +/- 5400.93, N = 3SE +/- 7085.91, N = 3SE +/- 10105.46, N = 3SE +/- 4723.69, N = 31268197126893312693231272270
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 RepeatLinux 5.8200K400K600K800K1000KMin: 1260700 / Avg: 1268196.67 / Max: 1278680Min: 1258420 / Avg: 1268933.33 / Max: 1282420Min: 1253360 / Avg: 1269323.33 / Max: 1288040Min: 1264670 / Avg: 1272270 / Max: 1280930

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.8Linux 5.8.10Linux 5.9-rc6Linux 5.8.10 Repeat30K60K90K120K150KSE +/- 1308.57, N = 6SE +/- 1161.72, N = 15SE +/- 1167.34, N = 15SE +/- 1034.72, N = 3115745116892118469119892
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.8Linux 5.8.10Linux 5.9-rc6Linux 5.8.10 Repeat20K40K60K80K100KMin: 112553 / Avg: 115744.83 / Max: 121289Min: 110958 / Avg: 116891.6 / Max: 125212Min: 111534 / Avg: 118469.27 / Max: 127909Min: 118799 / Avg: 119891.67 / Max: 121960

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat13K26K39K52K65KSE +/- 70.45, N = 3SE +/- 110.84, N = 3SE +/- 150.01, N = 3SE +/- 711.00, N = 360582.860961.361134.161597.1
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat11K22K33K44K55KMin: 60501.4 / Avg: 60582.8 / Max: 60723.1Min: 60785.9 / Avg: 60961.3 / Max: 61166.4Min: 60837.2 / Avg: 61134.07 / Max: 61320.1Min: 60878.6 / Avg: 61597.13 / Max: 63019.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.814K28K42K56K70KSE +/- 308.49, N = 3SE +/- 110.03, N = 3SE +/- 210.26, N = 3SE +/- 246.92, N = 363909.264008.964042.764070.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.811K22K33K44K55KMin: 63569.3 / Avg: 63909.23 / Max: 64525.1Min: 63857.4 / Avg: 64008.93 / Max: 64222.9Min: 63622.6 / Avg: 64042.7 / Max: 64269.2Min: 63761.6 / Avg: 64070.33 / Max: 64558.5

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10200K400K600K800K1000KSE +/- 3011.41, N = 3SE +/- 4118.40, N = 3SE +/- 5388.64, N = 3SE +/- 5550.84, N = 31116347111953011232071128643
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10200K400K600K800K1000KMin: 1112580 / Avg: 1116346.67 / Max: 1122300Min: 1113490 / Avg: 1119530 / Max: 1127400Min: 1114400 / Avg: 1123206.67 / Max: 1132990Min: 1122460 / Avg: 1128643.33 / Max: 1139720

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 NanotubeLinux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.820406080100SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3101.00101.40101.64101.681. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.820406080100Min: 100.73 / Avg: 101 / Max: 101.22Min: 101.18 / Avg: 101.4 / Max: 101.55Min: 101.43 / Avg: 101.64 / Max: 101.76Min: 101.48 / Avg: 101.68 / Max: 102.081. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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 2020-09-17Model: SqueezeNetV1.0Linux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc63691215SE +/- 0.211, N = 15SE +/- 0.189, N = 15SE +/- 0.224, N = 15SE +/- 0.204, N = 159.3219.3499.7969.854MIN: 7.63 / MAX: 24.04MIN: 7.99 / MAX: 15.98MIN: 7.4 / MAX: 25.02MIN: 7.46 / MAX: 20.051. (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 2020-09-17Model: SqueezeNetV1.0Linux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc63691215Min: 7.95 / Avg: 9.32 / Max: 10.45Min: 8.35 / Avg: 9.35 / Max: 10.33Min: 7.79 / Avg: 9.8 / Max: 10.55Min: 7.71 / Avg: 9.85 / Max: 10.551. (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 2020-09-17Model: resnet-v2-50Linux 5.8.10Linux 5.8Linux 5.9-rc6Linux 5.8.10 Repeat816243240SE +/- 0.11, N = 15SE +/- 0.15, N = 15SE +/- 0.15, N = 15SE +/- 0.23, N = 1535.9235.9936.0236.17MIN: 34.6 / MAX: 129.7MIN: 33.47 / MAX: 121.85MIN: 33.86 / MAX: 145.23MIN: 34.35 / MAX: 124.961. (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 2020-09-17Model: resnet-v2-50Linux 5.8.10Linux 5.8Linux 5.9-rc6Linux 5.8.10 Repeat816243240Min: 35.13 / Avg: 35.92 / Max: 36.52Min: 34.56 / Avg: 35.99 / Max: 36.9Min: 34.49 / Avg: 36.02 / Max: 36.71Min: 35.4 / Avg: 36.17 / Max: 39.051. (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 2020-09-17Model: MobileNetV2_224Linux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc6246810SE +/- 0.080, N = 15SE +/- 0.114, N = 15SE +/- 0.123, N = 15SE +/- 0.121, N = 155.8865.9656.2776.585MIN: 4.71 / MAX: 26.32MIN: 4.66 / MAX: 26.78MIN: 4.66 / MAX: 23.38MIN: 4.99 / MAX: 24.371. (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 2020-09-17Model: MobileNetV2_224Linux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc63691215Min: 5.39 / Avg: 5.89 / Max: 6.51Min: 5.12 / Avg: 5.97 / Max: 6.63Min: 5.59 / Avg: 6.28 / Max: 7.51Min: 5.63 / Avg: 6.59 / Max: 7.181. (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 2020-09-17Model: mobilenet-v1-1.0Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 RepeatLinux 5.8246810SE +/- 0.012, N = 15SE +/- 0.033, N = 15SE +/- 0.032, N = 15SE +/- 0.013, N = 156.1996.2336.2376.253MIN: 5.76 / MAX: 6.63MIN: 5.74 / MAX: 13.46MIN: 5.77 / MAX: 6.8MIN: 5.8 / MAX: 12.891. (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 2020-09-17Model: mobilenet-v1-1.0Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 RepeatLinux 5.83691215Min: 6.12 / Avg: 6.2 / Max: 6.3Min: 6.04 / Avg: 6.23 / Max: 6.58Min: 6.01 / Avg: 6.24 / Max: 6.45Min: 6.17 / Avg: 6.25 / Max: 6.331. (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 2020-09-17Model: inception-v3Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10Linux 5.8816243240SE +/- 0.17, N = 15SE +/- 0.18, N = 15SE +/- 0.14, N = 15SE +/- 0.21, N = 1533.1533.4733.4733.48MIN: 30.82 / MAX: 149.69MIN: 31.01 / MAX: 122.37MIN: 31.98 / MAX: 119.46MIN: 30.23 / MAX: 159.211. (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 2020-09-17Model: inception-v3Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10Linux 5.8714212835Min: 31.25 / Avg: 33.15 / Max: 34.29Min: 31.52 / Avg: 33.47 / Max: 34.58Min: 32.52 / Avg: 33.47 / Max: 34.23Min: 31.12 / Avg: 33.48 / Max: 34.291. (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

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10510152025SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.25, N = 6SE +/- 0.26, N = 419.8420.0720.2620.34MIN: 19.32 / MAX: 24.96MIN: 19.49 / MAX: 65.4MIN: 19.27 / MAX: 226.94MIN: 19.36 / MAX: 25.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10510152025Min: 19.56 / Avg: 19.84 / Max: 20.24Min: 19.76 / Avg: 20.07 / Max: 20.29Min: 19.65 / Avg: 20.26 / Max: 21.12Min: 19.62 / Avg: 20.34 / Max: 20.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8Linux 5.8.10Linux 5.9-rc6Linux 5.8.10 Repeat3691215SE +/- 0.28, N = 3SE +/- 0.16, N = 4SE +/- 0.14, N = 6SE +/- 0.19, N = 310.8210.8911.0111.10MIN: 10.3 / MAX: 13.48MIN: 10.33 / MAX: 12.03MIN: 10.27 / MAX: 32.28MIN: 10.59 / MAX: 13.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8Linux 5.8.10Linux 5.9-rc6Linux 5.8.10 Repeat3691215Min: 10.43 / Avg: 10.82 / Max: 11.37Min: 10.48 / Avg: 10.89 / Max: 11.15Min: 10.57 / Avg: 11.01 / Max: 11.61Min: 10.73 / Avg: 11.1 / Max: 11.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8Linux 5.8.103691215SE +/- 0.21, N = 3SE +/- 0.17, N = 6SE +/- 0.54, N = 3SE +/- 0.30, N = 410.5410.6110.6410.74MIN: 10.04 / MAX: 11.31MIN: 9.87 / MAX: 12.16MIN: 9.87 / MAX: 13.32MIN: 9.95 / MAX: 12.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8Linux 5.8.103691215Min: 10.16 / Avg: 10.54 / Max: 10.89Min: 10 / Avg: 10.61 / Max: 11.1Min: 10 / Avg: 10.64 / Max: 11.71Min: 10.04 / Avg: 10.74 / Max: 11.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8.10Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc63691215SE +/- 0.15, N = 4SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 610.3910.4710.6210.69MIN: 9.87 / MAX: 11.12MIN: 9.8 / MAX: 32.14MIN: 10.15 / MAX: 13.97MIN: 9.88 / MAX: 12.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8.10Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc63691215Min: 9.97 / Avg: 10.39 / Max: 10.66Min: 10.07 / Avg: 10.47 / Max: 10.81Min: 10.36 / Avg: 10.62 / Max: 10.75Min: 10.19 / Avg: 10.69 / Max: 111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.101.12732.25463.38194.50925.6365SE +/- 0.05, N = 6SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 44.894.934.985.01MIN: 4.63 / MAX: 5.63MIN: 4.68 / MAX: 6.29MIN: 4.68 / MAX: 7.26MIN: 4.65 / MAX: 8.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.10246810Min: 4.72 / Avg: 4.89 / Max: 4.99Min: 4.75 / Avg: 4.93 / Max: 5.02Min: 4.83 / Avg: 4.98 / Max: 5.09Min: 4.73 / Avg: 5.01 / Max: 5.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat1224364860SE +/- 0.47, N = 6SE +/- 0.47, N = 3SE +/- 0.24, N = 4SE +/- 0.24, N = 352.8352.8653.6854.02MIN: 50.87 / MAX: 77.69MIN: 51.69 / MAX: 55.26MIN: 52.57 / MAX: 58.26MIN: 53.09 / MAX: 90.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat1122334455Min: 51.24 / Avg: 52.83 / Max: 54.17Min: 52 / Avg: 52.86 / Max: 53.63Min: 53.01 / Avg: 53.68 / Max: 54.15Min: 53.54 / Avg: 54.02 / Max: 54.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8.10Linux 5.9-rc6Linux 5.8Linux 5.8.10 Repeat20406080100SE +/- 1.29, N = 4SE +/- 1.62, N = 6SE +/- 0.17, N = 3SE +/- 0.19, N = 399.7599.78101.22103.64MIN: 83.9 / MAX: 267.74MIN: 84.76 / MAX: 255.32MIN: 93.22 / MAX: 311.84MIN: 94.45 / MAX: 312.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8.10Linux 5.9-rc6Linux 5.8Linux 5.8.10 Repeat20406080100Min: 96.93 / Avg: 99.75 / Max: 102.8Min: 92.68 / Avg: 99.78 / Max: 103.14Min: 101.04 / Avg: 101.22 / Max: 101.57Min: 103.34 / Avg: 103.64 / Max: 103.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.10612182430SE +/- 0.41, N = 6SE +/- 0.59, N = 3SE +/- 0.74, N = 3SE +/- 0.82, N = 423.3423.7323.8524.36MIN: 21.47 / MAX: 83.96MIN: 22.3 / MAX: 69.96MIN: 22.44 / MAX: 58.08MIN: 22.19 / MAX: 65.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.10612182430Min: 22.18 / Avg: 23.34 / Max: 24.97Min: 22.99 / Avg: 23.73 / Max: 24.9Min: 22.96 / Avg: 23.85 / Max: 25.32Min: 22.82 / Avg: 24.36 / Max: 25.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.103691215SE +/- 0.21, N = 3SE +/- 0.09, N = 6SE +/- 0.14, N = 3SE +/- 0.22, N = 411.1311.1511.2311.29MIN: 10.68 / MAX: 12.96MIN: 10.78 / MAX: 13.71MIN: 10.92 / MAX: 33.28MIN: 10.85 / MAX: 13.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.103691215Min: 10.75 / Avg: 11.13 / Max: 11.49Min: 10.87 / Avg: 11.15 / Max: 11.37Min: 10.98 / Avg: 11.23 / Max: 11.46Min: 10.92 / Avg: 11.29 / Max: 11.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.1020406080100SE +/- 0.26, N = 6SE +/- 0.04, N = 3SE +/- 0.72, N = 3SE +/- 0.85, N = 477.1677.2877.5577.57MIN: 74.05 / MAX: 127.59MIN: 76.47 / MAX: 79.52MIN: 76.26 / MAX: 80.75MIN: 74.67 / MAX: 158.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.101530456075Min: 76.37 / Avg: 77.16 / Max: 77.87Min: 77.2 / Avg: 77.28 / Max: 77.35Min: 76.75 / Avg: 77.55 / Max: 78.99Min: 75.73 / Avg: 77.57 / Max: 79.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6612182430SE +/- 0.08, N = 3SE +/- 0.31, N = 4SE +/- 0.41, N = 3SE +/- 0.24, N = 624.1224.1524.3424.44MIN: 23.73 / MAX: 63.66MIN: 23.24 / MAX: 28.49MIN: 23.39 / MAX: 57.49MIN: 23.69 / MAX: 49.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6612182430Min: 24 / Avg: 24.12 / Max: 24.26Min: 23.4 / Avg: 24.15 / Max: 24.87Min: 23.57 / Avg: 24.34 / Max: 24.97Min: 23.87 / Avg: 24.44 / Max: 25.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.81428425670SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 360.2460.2660.3360.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.81224364860Min: 59.85 / Avg: 60.24 / Max: 60.53Min: 60.04 / Avg: 60.26 / Max: 60.6Min: 60.04 / Avg: 60.33 / Max: 60.64Min: 60.16 / Avg: 60.5 / Max: 60.91

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat4080120160200SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.67, N = 3SE +/- 0.20, N = 3173.32173.45173.49173.71
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat306090120150Min: 173.13 / Avg: 173.32 / Max: 173.51Min: 173.23 / Avg: 173.45 / Max: 173.8Min: 172.46 / Avg: 173.49 / Max: 174.75Min: 173.46 / Avg: 173.71 / Max: 174.11

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc620406080100SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.29, N = 384.0384.1284.1784.55
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc61632486480Min: 83.74 / Avg: 84.03 / Max: 84.29Min: 83.98 / Avg: 84.12 / Max: 84.29Min: 84.05 / Avg: 84.17 / Max: 84.34Min: 84.16 / Avg: 84.55 / Max: 85.13

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.860120180240300SE +/- 0.18, N = 3SE +/- 0.29, N = 3SE +/- 2.05, N = 3SE +/- 4.33, N = 3247.99248.15251.13252.91
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.850100150200250Min: 247.8 / Avg: 247.99 / Max: 248.35Min: 247.73 / Avg: 248.15 / Max: 248.7Min: 248.8 / Avg: 251.13 / Max: 255.22Min: 248.47 / Avg: 252.91 / Max: 261.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8Linux 5.8.104080120160200SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3193.60193.63193.66194.03
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8Linux 5.8.104080120160200Min: 193.47 / Avg: 193.6 / Max: 193.8Min: 193.44 / Avg: 193.63 / Max: 193.96Min: 193.22 / Avg: 193.66 / Max: 194.24Min: 193.85 / Avg: 194.03 / Max: 194.17

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 1.2.4Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc610M20M30M40M50MSE +/- 587155.46, N = 3SE +/- 894676.95, N = 12SE +/- 1022587.54, N = 124609201344677681443371641. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc68M16M24M32M40MMin: 45048120 / Avg: 46092013.33 / Max: 47079760Min: 40291130 / Avg: 44677680.83 / Max: 48911010Min: 38924650 / Avg: 44337164.17 / Max: 497163701. (CXX) g++ options: -O3 -fopenmp

Linux 5.8

Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE

OS: Ubuntu 20.04, Kernel: 5.8.0-rc2-phx-fgkaslr (x86_64) 20200624, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of TSX disabled

Testing initiated at 20 September 2020 10:55 by user phoronix.

Linux 5.8.10

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of TSX disabled

Testing initiated at 20 September 2020 16:43 by user phoronix.

Linux 5.8.10 Repeat

Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE

OS: Ubuntu 20.04, Kernel: 5.8.10-050810-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of TSX disabled

Testing initiated at 20 September 2020 21:17 by user phoronix.

Linux 5.9-rc6

Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01
Python Notes: Python 3.8.2
Security Notes: 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: Mitigation of TSX disabled

Testing initiated at 21 September 2020 06:18 by user phoronix.