new-tests-epyc

2 x AMD EPYC 7262 8-Core testing with a AMD DAYTONA_X (RDY1006G BIOS) and llvmpipe 504GB on Ubuntu 18.04 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 2004158-NI-NEWTESTSE84
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AMD EPYC 7452 32-Core
April 15 2020
  21 Minutes
AMD EPYC 7452 32-Core - ASPEED - AMD DAYTONA_X
April 15 2020
  4 Minutes
2 x EPYC 7262
April 15 2020
  52 Minutes
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  26 Minutes

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new-tests-epyc ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionAMD EPYC 7452 32-CoreAMD EPYC 7452 32-Core - ASPEED - AMD DAYTONA_X2 x EPYC 7262AMD EPYC 7452 32-Core @ 2.35GHz (32 Cores / 64 Threads)AMD DAYTONA_X (RDY1006G BIOS)AMD Device 1480252GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 18.045.3.0-40-generic (x86_64)GNOME Shell 3.28.4X Server 1.20.5modesetting 1.20.5GCC 7.4.0ext41920x10802 x AMD EPYC 7262 8-Core @ 3.20GHz (16 Cores / 32 Threads)504GBllvmpipe 504GBOpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8301034Security Details- 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 IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

new-tests-epyc mkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32gromacs: Water Benchmarkgit: Time To Complete Common Git Commandsgromacs: Water BenchmarkAMD EPYC 7452 32-CoreAMD EPYC 7452 32-Core - ASPEED - AMD DAYTONA_X2 x EPYC 72621.7133523.920413.535856.23712.118153.6829643.05852.04794239.64243.66672.98562.8762.9792.4928537.65901.8565220.49763.293724.4806769.54393.24097285.52246.16022.23262.0522.232OpenBenchmarking.org

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 72620.56091.12181.68272.24362.8045SE +/- 0.00424, N = 3SE +/- 0.02763, N = 151.713352.49285MIN: 1.52MIN: 2.11. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 7262246810Min: 1.71 / Avg: 1.71 / Max: 1.72Min: 2.29 / Avg: 2.49 / Max: 2.661. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 7262918273645SE +/- 0.02, N = 3SE +/- 0.64, N = 1523.9237.66MIN: 22.68MIN: 34.371. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 7262816243240Min: 23.89 / Avg: 23.92 / Max: 23.96Min: 35.94 / Avg: 37.66 / Max: 43.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 72623691215SE +/- 0.00501, N = 3SE +/- 0.01792, N = 313.535801.85652MIN: 8.641. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 726248121620Min: 13.53 / Avg: 13.54 / Max: 13.55Min: 1.83 / Avg: 1.86 / Max: 1.891. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 72621326395265SE +/- 0.03, N = 3SE +/- 0.12, N = 356.2420.50MIN: 45.39MIN: 19.941. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 72621122334455Min: 56.2 / Avg: 56.24 / Max: 56.3Min: 20.37 / Avg: 20.5 / Max: 20.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 72620.74111.48222.22332.96443.7055SE +/- 0.00397, N = 3SE +/- 0.03501, N = 152.118153.29372MIN: 1.96MIN: 2.851. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 7262246810Min: 2.11 / Avg: 2.12 / Max: 2.13Min: 3.07 / Avg: 3.29 / Max: 3.521. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 72621.00822.01643.02464.03285.041SE +/- 0.00936, N = 3SE +/- 0.02841, N = 33.682964.48067MIN: 3.39MIN: 4.191. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 7262246810Min: 3.67 / Avg: 3.68 / Max: 3.7Min: 4.43 / Avg: 4.48 / Max: 4.531. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 72621530456075SE +/- 0.18, N = 3SE +/- 0.09, N = 343.0669.54MIN: 41.58MIN: 69.181. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 72621326395265Min: 42.84 / Avg: 43.06 / Max: 43.41Min: 69.44 / Avg: 69.54 / Max: 69.711. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 72620.72921.45842.18762.91683.646SE +/- 0.00367, N = 3SE +/- 0.00720, N = 32.047943.24097MIN: 1.84MIN: 3.131. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32AMD EPYC 7452 32-Core2 x EPYC 7262246810Min: 2.04 / Avg: 2.05 / Max: 2.06Min: 3.23 / Avg: 3.24 / Max: 3.251. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 726260120180240300SE +/- 0.42, N = 3SE +/- 3.80, N = 15239.64285.52MIN: 235.95MIN: 261.391. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 726250100150200250Min: 239.03 / Avg: 239.64 / Max: 240.44Min: 273.43 / Avg: 285.52 / Max: 312.881. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 72621020304050SE +/- 0.28, N = 3SE +/- 0.43, N = 343.6746.16MIN: 42.41MIN: 42.941. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32AMD EPYC 7452 32-Core2 x EPYC 7262918273645Min: 43.15 / Avg: 43.67 / Max: 44.12Min: 45.68 / Avg: 46.16 / Max: 47.021. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

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 2020Water BenchmarkAMD EPYC 7452 32-Core2 x EPYC 72620.67161.34322.01482.68643.358SE +/- 0.003, N = 3SE +/- 0.002, N = 32.9852.2321. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020Water BenchmarkAMD EPYC 7452 32-Core2 x EPYC 7262246810Min: 2.98 / Avg: 2.99 / Max: 2.99Min: 2.23 / Avg: 2.23 / Max: 2.231. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsAMD EPYC 7452 32-Core2 x EPYC 72621428425670SE +/- 0.09, N = 3SE +/- 0.06, N = 362.8862.051. git version 2.17.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsAMD EPYC 7452 32-Core2 x EPYC 72621224364860Min: 62.77 / Avg: 62.88 / Max: 63.06Min: 61.95 / Avg: 62.05 / Max: 62.151. git version 2.17.1

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 BenchmarkAMD EPYC 7452 32-Core - ASPEED - AMD DAYTONA_X2 x EPYC 72620.67031.34062.01092.68123.3515SE +/- 0.005, N = 3SE +/- 0.001, N = 32.9792.2321. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkAMD EPYC 7452 32-Core - ASPEED - AMD DAYTONA_X2 x EPYC 7262246810Min: 2.97 / Avg: 2.98 / Max: 2.99Min: 2.23 / Avg: 2.23 / Max: 2.241. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm