AMD EPYC 7601 2P Ubuntu 19.10

2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and llvmpipe on Ubuntu 19.10 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 2009221-FI-AMDEPYC7632
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EPYC 7601 2P
September 21 2020
  15 Hours, 34 Minutes
Linux 5.8.10
September 21 2020
  20 Hours, 22 Minutes
Linux 5.9 Git
September 22 2020
  1 Day, 6 Hours, 56 Minutes
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  22 Hours, 17 Minutes

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AMD EPYC 7601 2P Ubuntu 19.10OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads)Dell 02MJ3T (1.2.5 BIOS)AMD 17h504GB280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7RllvmpipeVE2282 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIeUbuntu 19.105.5.0-rc7-phx-k10temp7 (x86_64) 202001235.8.10-050810-generic (x86_64)5.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.8 (LLVM 9.0 128 bits)GCC 9.2.1 20191008ext41600x1200ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionAMD EPYC 7601 2P Ubuntu 19.10 BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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 - CPU Microcode: 0x8001227- Python 2.7.17rc1 + Python 3.7.5- EPYC 7601 2P: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + tsx_async_abort: Not affected - Linux 5.8.10: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.9 Git: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 7601 2PLinux 5.8.10Linux 5.9 GitResult OverviewPhoronix Test Suite100%138%176%214%NCNNTensorFlow LiteTimed LLVM CompilationKripkeperf-benchGROMACSGPAWIncompact3DAOM AV1Zstd CompressionMobile Neural NetworkMonte Carlo Simulations of Ionised NebulaeNAMDASTC EncoderBlenderSystem GZIP DecompressionLAMMPS Molecular Dynamics Simulator

AMD EPYC 7601 2P Ubuntu 19.10namd: 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 Realtimebuild-llvm: Time To Compilesystem-decompress-gzip: perf-bench: Epoll Waitperf-bench: Futex Hashperf-bench: Memcpy 1MBperf-bench: Memset 1MBperf-bench: Sched Pipeperf-bench: Futex Lock-Piperf-bench: Syscall Basicgromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivegpaw: 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: EPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.46809228.34952326124.77124.5154574.576.20.181.4913.362.3822.28246.9763.8551789193071814.56415341.36562326421981149840824.15490123.7107967323113651413.151765.510332436.637.506.3244.9383.94317.09964.96510.50112.49361.08858.7640.6448.3839.7119.64171.39188.2872.5962.36204.6275.8442.58104.1368.61207.38134.45345168490.46431240.60369925524.74424.1814572.972.70.181.4312.212.3223.21268.1563.8821682194275513.49782433.64927822608877145746714.00287243.7106705023061249873.751422.69998726.607.626.4845.0389.03616.51666.01210.09512.29159.70154.9246.3041.9537.5317.79147.63155.9764.5159.29168.5467.1642.52104.7968.56214.68135.57298249660.47248234.58614125524.70824.2434466.673.80.171.4112.612.3323.19461.0813.8841681193217814.48896938.08262423923679141147173.886106374.2112807528687963482.562210.310677936.637.496.3445.0485.15417.41265.08710.73112.30060.81694.2696.6784.5391.6363.91467.54252.48241.57115.69450.58283.7842.48104.9968.88207.19136.8630386885OpenBenchmarking.org

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 AtomsEPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.10630.21260.31890.42520.5315SE +/- 0.00040, N = 3SE +/- 0.00048, N = 3SE +/- 0.00361, N = 30.468090.464310.47248
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7601 2PLinux 5.8.10Linux 5.9 Git12345Min: 0.47 / Avg: 0.47 / Max: 0.47Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.47 / Avg: 0.47 / Max: 0.48

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: CylinderEPYC 7601 2PLinux 5.8.10Linux 5.9 Git50100150200250SE +/- 0.13, N = 3SE +/- 0.71, N = 3SE +/- 3.07, N = 3228.35240.60234.591. (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: CylinderEPYC 7601 2PLinux 5.8.10Linux 5.9 Git4080120160200Min: 228.09 / Avg: 228.35 / Max: 228.51Min: 239.55 / Avg: 240.6 / Max: 241.95Min: 231.46 / Avg: 234.59 / Max: 240.721. (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 tau100.0EPYC 7601 2PLinux 5.8.10Linux 5.9 Git60120180240300SE +/- 3.96, N = 9SE +/- 1.20, N = 3SE +/- 0.88, N = 32612552551. (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 tau100.0EPYC 7601 2PLinux 5.8.10Linux 5.9 Git50100150200250Min: 253 / Avg: 260.78 / Max: 289Min: 253 / Avg: 254.67 / Max: 257Min: 254 / Avg: 255.33 / Max: 2571. (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 AtomsEPYC 7601 2PLinux 5.8.10Linux 5.9 Git612182430SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 324.7724.7424.711. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsEPYC 7601 2PLinux 5.8.10Linux 5.9 Git612182430Min: 24.68 / Avg: 24.77 / Max: 24.9Min: 24.62 / Avg: 24.74 / Max: 24.85Min: 24.5 / Avg: 24.71 / Max: 24.881. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinEPYC 7601 2PLinux 5.8.10Linux 5.9 Git612182430SE +/- 0.11, N = 3SE +/- 0.26, N = 14SE +/- 0.07, N = 324.5224.1824.241. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinEPYC 7601 2PLinux 5.8.10Linux 5.9 Git612182430Min: 24.31 / Avg: 24.51 / Max: 24.68Min: 21.02 / Avg: 24.18 / Max: 24.8Min: 24.11 / Avg: 24.24 / Max: 24.351. (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: 3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git10002000300040005000SE +/- 47.25, N = 3SE +/- 63.83, N = 15SE +/- 66.81, N = 124574.54572.94466.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git8001600240032004000Min: 4485.3 / Avg: 4574.5 / Max: 4646.1Min: 4066.8 / Avg: 4572.91 / Max: 4956.7Min: 3899.3 / Avg: 4466.57 / Max: 4706.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 2.38, N = 12SE +/- 2.18, N = 15SE +/- 1.56, N = 1276.272.773.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7601 2PLinux 5.8.10Linux 5.9 Git1530456075Min: 61.8 / Avg: 76.19 / Max: 86.4Min: 57.2 / Avg: 72.69 / Max: 88.4Min: 68.4 / Avg: 73.79 / Max: 84.71. (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-PassEPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.04050.0810.12150.1620.2025SE +/- 0.00, N = 15SE +/- 0.00, N = 4SE +/- 0.00, N = 40.180.180.171. (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-PassEPYC 7601 2PLinux 5.8.10Linux 5.9 Git12345Min: 0.17 / Avg: 0.18 / Max: 0.19Min: 0.17 / Avg: 0.18 / Max: 0.18Min: 0.17 / Avg: 0.17 / Max: 0.181. (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-PassEPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.33530.67061.00591.34121.6765SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.491.431.411. (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-PassEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810Min: 1.45 / Avg: 1.49 / Max: 1.52Min: 1.4 / Avg: 1.43 / Max: 1.47Min: 1.4 / Avg: 1.41 / Max: 1.431. (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 RealtimeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215SE +/- 0.14, N = 8SE +/- 0.08, N = 3SE +/- 0.11, N = 1513.3612.2112.611. (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 RealtimeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git48121620Min: 12.96 / Avg: 13.36 / Max: 13.91Min: 12.08 / Avg: 12.21 / Max: 12.34Min: 12.16 / Avg: 12.61 / Max: 13.591. (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-PassEPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.53551.0711.60652.1422.6775SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 32.382.322.331. (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-PassEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810Min: 2.35 / Avg: 2.38 / Max: 2.41Min: 2.27 / Avg: 2.32 / Max: 2.35Min: 2.3 / Avg: 2.33 / Max: 2.371. (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 RealtimeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git612182430SE +/- 0.07, N = 3SE +/- 0.20, N = 15SE +/- 0.25, N = 1522.2823.2123.191. (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 RealtimeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git510152025Min: 22.16 / Avg: 22.28 / Max: 22.41Min: 21.98 / Avg: 23.21 / Max: 24.62Min: 21.81 / Avg: 23.19 / Max: 24.61. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7601 2PLinux 5.8.10Linux 5.9 Git100200300400500SE +/- 0.82, N = 3SE +/- 1.36, N = 3SE +/- 0.22, N = 3246.98268.16461.08
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7601 2PLinux 5.8.10Linux 5.9 Git80160240320400Min: 245.35 / Avg: 246.98 / Max: 247.89Min: 266.3 / Avg: 268.16 / Max: 270.8Min: 460.7 / Avg: 461.08 / Max: 461.45

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 DecompressionEPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.87391.74782.62173.49564.3695SE +/- 0.002, N = 3SE +/- 0.023, N = 3SE +/- 0.024, N = 33.8553.8823.884
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810Min: 3.85 / Avg: 3.85 / Max: 3.86Min: 3.86 / Avg: 3.88 / Max: 3.93Min: 3.86 / Avg: 3.88 / Max: 3.93

perf-bench

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitEPYC 7601 2PLinux 5.8.10Linux 5.9 Git400800120016002000SE +/- 8.74, N = 3SE +/- 16.56, N = 3SE +/- 19.17, N = 31789168216811. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitEPYC 7601 2PLinux 5.8.10Linux 5.9 Git30060090012001500Min: 1772 / Avg: 1789.33 / Max: 1800Min: 1649 / Avg: 1682 / Max: 1701Min: 1661 / Avg: 1680.67 / Max: 17191. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashEPYC 7601 2PLinux 5.8.10Linux 5.9 Git400K800K1200K1600K2000KSE +/- 601.26, N = 3SE +/- 220.77, N = 3SE +/- 140.19, N = 31930718194275519321781. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashEPYC 7601 2PLinux 5.8.10Linux 5.9 Git300K600K900K1200K1500KMin: 1929753 / Avg: 1930718.33 / Max: 1931822Min: 1942317 / Avg: 1942754.67 / Max: 1943024Min: 1931943 / Avg: 1932178.33 / Max: 19324281. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBEPYC 7601 2PLinux 5.8.10Linux 5.9 Git48121620SE +/- 0.05, N = 3SE +/- 0.21, N = 15SE +/- 0.14, N = 314.5613.5014.491. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBEPYC 7601 2PLinux 5.8.10Linux 5.9 Git48121620Min: 14.48 / Avg: 14.56 / Max: 14.65Min: 12.22 / Avg: 13.5 / Max: 14.7Min: 14.22 / Avg: 14.49 / Max: 14.691. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBEPYC 7601 2PLinux 5.8.10Linux 5.9 Git918273645SE +/- 0.16, N = 3SE +/- 1.39, N = 15SE +/- 1.28, N = 1541.3733.6538.081. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBEPYC 7601 2PLinux 5.8.10Linux 5.9 Git918273645Min: 41.07 / Avg: 41.37 / Max: 41.63Min: 23.72 / Avg: 33.65 / Max: 41.31Min: 30.56 / Avg: 38.08 / Max: 42.421. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git60K120K180K240K300KSE +/- 1092.19, N = 3SE +/- 511.83, N = 3SE +/- 939.90, N = 32642192260882392361. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git50K100K150K200K250KMin: 262080 / Avg: 264218.67 / Max: 265673Min: 225199 / Avg: 226088.33 / Max: 226972Min: 237980 / Avg: 239235.67 / Max: 2410751. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 1.00, N = 3SE +/- 1.20, N = 3SE +/- 0.82, N = 88177791. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1530456075Min: 79 / Avg: 81 / Max: 82Min: 75 / Avg: 77.33 / Max: 79Min: 76 / Avg: 79.38 / Max: 821. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicEPYC 7601 2PLinux 5.8.10Linux 5.9 Git3M6M9M12M15MSE +/- 417.42, N = 3SE +/- 55822.78, N = 3SE +/- 1810.23, N = 31498408214574671141147171. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicEPYC 7601 2PLinux 5.8.10Linux 5.9 Git3M6M9M12M15MMin: 14983273 / Avg: 14984082 / Max: 14984665Min: 14463045 / Avg: 14574671.33 / Max: 14632279Min: 14111858 / Avg: 14114716.67 / Max: 141180701. (CC) gcc options: -pthread -shared -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

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 BenchmarkEPYC 7601 2PLinux 5.8.10Linux 5.9 Git0.93471.86942.80413.73884.6735SE +/- 0.005, N = 3SE +/- 0.045, N = 7SE +/- 0.031, N = 144.1544.0023.8861. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810Min: 4.15 / Avg: 4.15 / Max: 4.16Min: 3.76 / Avg: 4 / Max: 4.11Min: 3.71 / Avg: 3.89 / Max: 4.151. (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: SqueezeNetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20K40K60K80K100KSE +/- 1581.68, N = 12SE +/- 975.53, N = 3SE +/- 2070.93, N = 1590123.787243.7106374.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20K40K60K80K100KMin: 81578 / Avg: 90123.67 / Max: 102004Min: 85557.7 / Avg: 87243.7 / Max: 88937Min: 80601.4 / Avg: 106374.19 / Max: 111867

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7601 2PLinux 5.8.10Linux 5.9 Git200K400K600K800K1000KSE +/- 8207.06, N = 3SE +/- 12944.90, N = 3SE +/- 12755.63, N = 6107967310670501128075
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7601 2PLinux 5.8.10Linux 5.9 Git200K400K600K800K1000KMin: 1063260 / Avg: 1079673.33 / Max: 1088020Min: 1052740 / Avg: 1067050 / Max: 1092890Min: 1069640 / Avg: 1128075 / Max: 1158630

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7601 2PLinux 5.8.10Linux 5.9 Git60K120K180K240K300KSE +/- 673.44, N = 3SE +/- 3248.39, N = 15SE +/- 2638.07, N = 3231136230612286879
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7601 2PLinux 5.8.10Linux 5.9 Git50K100K150K200K250KMin: 229851 / Avg: 231136 / Max: 232128Min: 210629 / Avg: 230612 / Max: 250080Min: 284077 / Avg: 286879.33 / Max: 292152

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7601 2PLinux 5.8.10Linux 5.9 Git14K28K42K56K70KSE +/- 1148.13, N = 15SE +/- 521.14, N = 15SE +/- 2422.07, N = 1551413.149873.763482.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7601 2PLinux 5.8.10Linux 5.9 Git11K22K33K44K55KMin: 44665.9 / Avg: 51413.09 / Max: 58166.7Min: 46657 / Avg: 49873.74 / Max: 55253.5Min: 48050.9 / Avg: 63482.45 / Max: 75389.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7601 2PLinux 5.8.10Linux 5.9 Git13K26K39K52K65KSE +/- 473.31, N = 3SE +/- 340.96, N = 3SE +/- 2180.60, N = 1551765.551422.662210.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7601 2PLinux 5.8.10Linux 5.9 Git11K22K33K44K55KMin: 50840.9 / Avg: 51765.53 / Max: 52403.5Min: 50748.5 / Avg: 51422.63 / Max: 51848.7Min: 50575 / Avg: 62210.31 / Max: 76650.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7601 2PLinux 5.8.10Linux 5.9 Git200K400K600K800K1000KSE +/- 11072.71, N = 3SE +/- 11153.36, N = 3SE +/- 11372.00, N = 710332439998721067793
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7601 2PLinux 5.8.10Linux 5.9 Git200K400K600K800K1000KMin: 1011530 / Avg: 1033243.33 / Max: 1047870Min: 983237 / Avg: 999872 / Max: 1021060Min: 1017140 / Avg: 1067792.86 / Max: 1094800

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.636.606.631. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215Min: 6.57 / Avg: 6.63 / Max: 6.71Min: 6.59 / Avg: 6.6 / Max: 6.61Min: 6.59 / Avg: 6.63 / Max: 6.661. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 37.507.627.491. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215Min: 7.46 / Avg: 7.5 / Max: 7.55Min: 7.52 / Avg: 7.62 / Max: 7.69Min: 7.43 / Avg: 7.49 / Max: 7.521. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7601 2PLinux 5.8.10Linux 5.9 Git246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.326.486.341. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215Min: 6.31 / Avg: 6.32 / Max: 6.33Min: 6.46 / Avg: 6.48 / Max: 6.51Min: 6.33 / Avg: 6.34 / Max: 6.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1020304050SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 344.9345.0345.041. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7601 2PLinux 5.8.10Linux 5.9 Git918273645Min: 44.72 / Avg: 44.93 / Max: 45.06Min: 44.97 / Avg: 45.03 / Max: 45.09Min: 44.85 / Avg: 45.04 / Max: 45.141. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 NanotubeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 0.15, N = 3SE +/- 0.47, N = 3SE +/- 0.21, N = 383.9489.0485.151. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100Min: 83.64 / Avg: 83.94 / Max: 84.12Min: 88.19 / Avg: 89.04 / Max: 89.8Min: 84.82 / Avg: 85.15 / Max: 85.561. (CC) gcc options: -pthread -shared -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: SqueezeNetV1.0EPYC 7601 2PLinux 5.8.10Linux 5.9 Git48121620SE +/- 0.14, N = 3SE +/- 0.17, N = 7SE +/- 0.26, N = 317.1016.5217.41MIN: 15.98 / MAX: 27.59MIN: 14.78 / MAX: 32.88MIN: 15.95 / MAX: 32.391. (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: SqueezeNetV1.0EPYC 7601 2PLinux 5.8.10Linux 5.9 Git48121620Min: 16.85 / Avg: 17.1 / Max: 17.33Min: 15.82 / Avg: 16.52 / Max: 17.14Min: 16.9 / Avg: 17.41 / Max: 17.711. (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-v2-50EPYC 7601 2PLinux 5.8.10Linux 5.9 Git1530456075SE +/- 0.27, N = 3SE +/- 0.39, N = 7SE +/- 0.38, N = 364.9766.0165.09MIN: 60.31 / MAX: 310.65MIN: 57.4 / MAX: 883.67MIN: 60.1 / MAX: 809.521. (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-v2-50EPYC 7601 2PLinux 5.8.10Linux 5.9 Git1326395265Min: 64.46 / Avg: 64.97 / Max: 65.37Min: 64.71 / Avg: 66.01 / Max: 67.43Min: 64.4 / Avg: 65.09 / Max: 65.691. (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 2020-09-17Model: MobileNetV2_224EPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215SE +/- 0.60, N = 3SE +/- 0.12, N = 7SE +/- 0.48, N = 310.5010.1010.73MIN: 9.01 / MAX: 24.1MIN: 9.16 / MAX: 21.86MIN: 9.33 / MAX: 11.931. (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_224EPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215Min: 9.81 / Avg: 10.5 / Max: 11.7Min: 9.66 / Avg: 10.1 / Max: 10.55Min: 9.85 / Avg: 10.73 / Max: 11.51. (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 2020-09-17Model: mobilenet-v1-1.0EPYC 7601 2PLinux 5.8.10Linux 5.9 Git3691215SE +/- 0.13, N = 3SE +/- 0.07, N = 7SE +/- 0.06, N = 312.4912.2912.30MIN: 11.1 / MAX: 25.54MIN: 11.76 / MAX: 28.1MIN: 11.24 / MAX: 13.081. (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 2020-09-17Model: mobilenet-v1-1.0EPYC 7601 2PLinux 5.8.10Linux 5.9 Git48121620Min: 12.35 / Avg: 12.49 / Max: 12.75Min: 12.07 / Avg: 12.29 / Max: 12.5Min: 12.19 / Avg: 12.3 / Max: 12.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git1428425670SE +/- 0.99, N = 3SE +/- 0.67, N = 7SE +/- 0.67, N = 361.0959.7060.82MIN: 55.04 / MAX: 243.89MIN: 53.49 / MAX: 330.78MIN: 57.6 / MAX: 234.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git1224364860Min: 59.77 / Avg: 61.09 / Max: 63.02Min: 56.93 / Avg: 59.7 / Max: 62.22Min: 59.47 / Avg: 60.82 / Max: 61.521. (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_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 1.49, N = 6SE +/- 1.01, N = 9SE +/- 9.59, N = 658.7654.9294.26MIN: 47.41 / MAX: 438.22MIN: 47.07 / MAX: 375.78MIN: 48.24 / MAX: 446.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100Min: 54.65 / Avg: 58.76 / Max: 64.93Min: 49.64 / Avg: 54.92 / Max: 59.81Min: 76.89 / Avg: 94.26 / Max: 139.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 2.07, N = 6SE +/- 3.07, N = 9SE +/- 13.98, N = 640.6446.3096.67MIN: 35.5 / MAX: 616.69MIN: 33.98 / MAX: 788.04MIN: 35.02 / MAX: 646.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100Min: 36.98 / Avg: 40.64 / Max: 50.01Min: 36.83 / Avg: 46.3 / Max: 65.86Min: 57.89 / Avg: 96.67 / Max: 140.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 4.53, N = 6SE +/- 1.27, N = 9SE +/- 9.51, N = 648.3841.9584.53MIN: 37.24 / MAX: 660.74MIN: 36.19 / MAX: 582.91MIN: 37.4 / MAX: 624.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1632486480Min: 38.91 / Avg: 48.38 / Max: 67.9Min: 38.52 / Avg: 41.95 / Max: 50.45Min: 43.51 / Avg: 84.53 / Max: 103.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 2.93, N = 5SE +/- 1.46, N = 9SE +/- 16.95, N = 639.7137.5391.63MIN: 31.85 / MAX: 604.83MIN: 31.72 / MAX: 528.79MIN: 32.03 / MAX: 569.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100Min: 34.05 / Avg: 39.71 / Max: 50.28Min: 33.32 / Avg: 37.53 / Max: 46.91Min: 43.89 / Avg: 91.63 / Max: 161.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1428425670SE +/- 1.68, N = 6SE +/- 0.70, N = 9SE +/- 9.48, N = 619.6417.7963.91MIN: 15 / MAX: 319.97MIN: 15.2 / MAX: 290.19MIN: 15.82 / MAX: 319.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1224364860Min: 15.23 / Avg: 19.64 / Max: 25.1Min: 15.42 / Avg: 17.79 / Max: 21.65Min: 37.71 / Avg: 63.91 / Max: 100.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git100200300400500SE +/- 5.97, N = 6SE +/- 3.97, N = 9SE +/- 73.69, N = 6171.39147.63467.54MIN: 125.4 / MAX: 1090.31MIN: 123.83 / MAX: 943.25MIN: 129.77 / MAX: 1005.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git80160240320400Min: 162.65 / Avg: 171.39 / Max: 200.65Min: 136.32 / Avg: 147.63 / Max: 165.99Min: 211.65 / Avg: 467.54 / Max: 660.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git60120180240300SE +/- 5.71, N = 6SE +/- 7.35, N = 9SE +/- 9.42, N = 6188.28155.97252.48MIN: 93.65 / MAX: 721.82MIN: 94.32 / MAX: 476.54MIN: 98.66 / MAX: 516.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git50100150200250Min: 169.57 / Avg: 188.28 / Max: 207.92Min: 133.48 / Avg: 155.97 / Max: 204.55Min: 217.93 / Avg: 252.48 / Max: 290.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git50100150200250SE +/- 2.46, N = 6SE +/- 2.77, N = 9SE +/- 21.17, N = 672.5964.51241.57MIN: 50.16 / MAX: 470.75MIN: 48.2 / MAX: 363.82MIN: 51.03 / MAX: 413.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git4080120160200Min: 61.99 / Avg: 72.59 / Max: 79.4Min: 55.91 / Avg: 64.51 / Max: 82.94Min: 161.29 / Avg: 241.57 / Max: 295.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git306090120150SE +/- 3.65, N = 6SE +/- 2.84, N = 9SE +/- 2.84, N = 662.3659.29115.69MIN: 19.38 / MAX: 302.96MIN: 22.59 / MAX: 237.92MIN: 30.06 / MAX: 191.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100Min: 48.9 / Avg: 62.36 / Max: 70.92Min: 38.1 / Avg: 59.29 / Max: 66.87Min: 103.24 / Avg: 115.69 / Max: 122.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git100200300400500SE +/- 11.44, N = 6SE +/- 3.39, N = 9SE +/- 79.99, N = 6204.62168.54450.58MIN: 139.07 / MAX: 951.92MIN: 137.16 / MAX: 825.06MIN: 141.18 / MAX: 962.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8EPYC 7601 2PLinux 5.8.10Linux 5.9 Git80160240320400Min: 167.26 / Avg: 204.62 / Max: 232.26Min: 154.22 / Avg: 168.54 / Max: 182.28Min: 231.45 / Avg: 450.58 / Max: 717.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git60120180240300SE +/- 5.62, N = 6SE +/- 2.21, N = 9SE +/- 48.59, N = 675.8467.16283.78MIN: 55.19 / MAX: 632.02MIN: 57.62 / MAX: 632.82MIN: 60.86 / MAX: 645.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3EPYC 7601 2PLinux 5.8.10Linux 5.9 Git50100150200250Min: 63.08 / Avg: 75.84 / Max: 100.65Min: 60.44 / Avg: 67.16 / Max: 77.14Min: 143.15 / Avg: 283.78 / Max: 478.721. (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-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1020304050SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 342.5842.5242.48
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git918273645Min: 42.16 / Avg: 42.58 / Max: 42.9Min: 42.29 / Avg: 42.52 / Max: 42.7Min: 42.41 / Avg: 42.48 / Max: 42.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100SE +/- 0.10, N = 3SE +/- 0.34, N = 3SE +/- 0.20, N = 3104.13104.79104.99
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git20406080100Min: 104.02 / Avg: 104.13 / Max: 104.33Min: 104.31 / Avg: 104.79 / Max: 105.45Min: 104.7 / Avg: 104.99 / Max: 105.38

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1530456075SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.46, N = 368.6168.5668.88
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git1326395265Min: 68.13 / Avg: 68.61 / Max: 68.99Min: 68.13 / Avg: 68.56 / Max: 69.09Min: 67.96 / Avg: 68.88 / Max: 69.44

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git50100150200250SE +/- 1.17, N = 3SE +/- 0.55, N = 3SE +/- 1.49, N = 3207.38214.68207.19
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git4080120160200Min: 205.52 / Avg: 207.38 / Max: 209.55Min: 213.65 / Avg: 214.68 / Max: 215.52Min: 204.91 / Avg: 207.19 / Max: 209.99

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git306090120150SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.71, N = 3134.45135.57136.86
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7601 2PLinux 5.8.10Linux 5.9 Git306090120150Min: 134.25 / Avg: 134.45 / Max: 134.77Min: 135.48 / Avg: 135.57 / Max: 135.63Min: 135.53 / Avg: 136.86 / Max: 137.97

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 1.2.4EPYC 7601 2PLinux 5.8.10Linux 5.9 Git7M14M21M28M35MSE +/- 2295306.78, N = 7SE +/- 1337283.55, N = 9SE +/- 1875436.24, N = 63451684929824966303868851. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7601 2PLinux 5.8.10Linux 5.9 Git6M12M18M24M30MMin: 22517120 / Avg: 34516848.57 / Max: 39784360Min: 23968800 / Avg: 29824965.56 / Max: 36267370Min: 25466710 / Avg: 30386885 / Max: 373067101. (CXX) g++ options: -O3 -fopenmp