Xeon Platinum 8253

Intel Xeon Platinum 8253 testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and llvmpipe 188GB on Ubuntu 19.10 via the Phoronix Test Suite.

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Identifier
Performance Per
Dollar
Date
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  Test
  Duration
Xeon Platinum 8253
February 16 2020
  9 Hours, 43 Minutes
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Xeon Platinum 8253

Processor: Intel Xeon Platinum 8253 @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe 188GB, Monitor: VE228, Network: 2 x Intel I210

OS: Ubuntu 19.10, Kernel: 5.5.0-050500-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 256 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Python Notes: Python 2.7.17 + Python 3.7.5
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 + tsx_async_abort: Mitigation of TSX disabled

Xeon Platinum 8253OpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Platinum 8253 @ 3.00GHz (16 Cores / 32 Threads)Supermicro X11SPL-F v1.02 (3.1 BIOS)Intel Sky Lake-E DMI3 Registers188GB3841GB Micron_9300_MTFDHAL3T8TDPllvmpipe 188GBVE2282 x Intel I210Ubuntu 19.105.5.0-050500-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.8 (LLVM 9.0 256 bits)GCC 9.2.1 20191008ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionXeon Platinum 8253 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 - NONE / errors=remount-ro,relatime,rw- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Python 2.7.17 + Python 3.7.5- 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 + tsx_async_abort: Mitigation of TSX disabled

Xeon Platinum 8253rawtherapee: Total Benchmark Timegegl: Cropgegl: Scalegegl: Cartoongegl: Reflectgegl: Antialiasgegl: Tile Glassgegl: Wavelet Blurgegl: Color Enhancegegl: Rotate 90 Degreesrsvg: SVG Files To PNGinkscape: SVG Files To PNGmkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32scikit-learn: mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: IP Batch 1D - f32mkl-dnn: Deconvolution Batch deconv_3d - f32numpy: mlpack: scikit_svmlammps: Rhodopsin Proteinhpcg: build-ffmpeg: Time To Compilebuild-gdb: Time To Compilemkl-dnn: IP Batch All - f32mkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: IP Batch 1D - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: IP Batch All - bf16bf16bf16mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16mkl-dnn: Convolution Batch conv_3d - u8s8f32mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16postmark: Disk Transaction Performancebuild-apache: Time To Compilejohn-the-ripper: Blowfishjohn-the-ripper: MD5build-php: Time To Compiledav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitv-ray: CPUblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyrays1bench: Large Scenepyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonpolyhedron: acpolyhedron: airpolyhedron: mdbxpolyhedron: doducpolyhedron: linpkpolyhedron: tfft2polyhedron: aermodpolyhedron: rnflowpolyhedron: induct2polyhedron: proteinpolyhedron: capacitapolyhedron: channel2polyhedron: fatigue2polyhedron: gas_dyn2polyhedron: test_fpu2polyhedron: mp_prop_designXeon Platinum 825364.00611.6577.926139.41345.64858.05345.02396.37788.08259.14729.81140.45226.782537.892106.04318.7430226.59666.32836330.290.8205475.181194.88666263.7522.957.53612.306454.746148.3029.95577417.7200.885987244.5895.521981472.838.731238141.4412.900334.555412.48478821.801921.6615.345013247.71612.253.458866134.59513731.08219055166866766.501248.30167119.628958309.38979224.02645814949171.50497.95263.41674.20611.0149.2433144814614815626.263533.013923911.775.76187.563.446.7710.673.9333.858.2220.4125.7221.0916.2783.3767.9670.5246.4786.98OpenBenchmarking.org

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeXeon Platinum 82531428425670SE +/- 0.04, N = 364.011. RawTherapee, version 5.6, command line.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropXeon Platinum 82533691215SE +/- 0.09, N = 311.66

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleXeon Platinum 8253246810SE +/- 0.054, N = 37.926

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonXeon Platinum 8253306090120150SE +/- 0.15, N = 3139.41

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectXeon Platinum 82531020304050SE +/- 0.05, N = 345.65

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasXeon Platinum 82531326395265SE +/- 0.08, N = 358.05

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassXeon Platinum 82531020304050SE +/- 0.01, N = 345.02

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurXeon Platinum 825320406080100SE +/- 0.18, N = 396.38

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceXeon Platinum 825320406080100SE +/- 0.07, N = 388.08

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesXeon Platinum 82531326395265SE +/- 0.08, N = 359.15

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGXeon Platinum 8253714212835SE +/- 0.38, N = 329.811. rsvg-convert version 2.44.14

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGXeon Platinum 8253918273645SE +/- 0.12, N = 340.451. Inkscape 0.92.4 (5da689c313, 2019-01-14)

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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 BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32Xeon Platinum 8253612182430SE +/- 0.05, N = 326.78MIN: 26.061. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Xeon Platinum 8253918273645SE +/- 0.46, N = 337.89

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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 BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Xeon Platinum 825320406080100SE +/- 0.10, N = 3106.04MIN: 104.541. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16Xeon Platinum 8253510152025SE +/- 0.01, N = 318.74MIN: 18.621. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Recurrent Neural Network Training - Data Type: f32Xeon Platinum 825350100150200250SE +/- 0.06, N = 3226.60MIN: 223.211. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32Xeon Platinum 82531530456075SE +/- 0.16, N = 366.33MIN: 64.011. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: u8s8f32Xeon Platinum 825314002800420056007000SE +/- 7.32, N = 36330.29MIN: 6302.041. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32Xeon Platinum 82530.18460.36920.55380.73840.923SE +/- 0.002196, N = 30.820547MIN: 0.791. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32Xeon Platinum 82531.16582.33163.49744.66325.829SE +/- 0.08542, N = 35.18119MIN: 4.351. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32Xeon Platinum 82531.09952.1993.29854.3985.4975SE +/- 0.00384, N = 34.88666MIN: 4.811. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkXeon Platinum 825360120180240300SE +/- 0.18, N = 3263.75

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmXeon Platinum 8253510152025SE +/- 0.04, N = 322.95

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 9Jan2020Model: Rhodopsin ProteinXeon Platinum 8253246810SE +/- 0.020, N = 37.5361. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Xeon Platinum 82533691215SE +/- 0.04, N = 312.311. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileXeon Platinum 82531224364860SE +/- 0.05, N = 354.75

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileXeon Platinum 8253306090120150SE +/- 0.17, N = 3148.30

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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 BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: f32Xeon Platinum 82533691215SE +/- 0.03133, N = 39.95577MIN: 9.551. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16Xeon Platinum 825390180270360450SE +/- 0.33, N = 3417.72MIN: 415.851. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: u8s8f32Xeon Platinum 82530.19930.39860.59790.79720.9965SE +/- 0.016927, N = 140.885987MIN: 0.821. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32Xeon Platinum 825350100150200250SE +/- 0.46, N = 3244.59MIN: 241.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: u8s8f32Xeon Platinum 82531.24242.48483.72724.96966.212SE +/- 0.01665, N = 35.52198MIN: 5.291. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: f32Xeon Platinum 825330060090012001500SE +/- 0.55, N = 31472.83MIN: 14541. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: bf16bf16bf16Xeon Platinum 8253246810SE +/- 0.02129, N = 38.73123MIN: 8.541. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Xeon Platinum 82532K4K6K8K10KSE +/- 0.73, N = 38141.44MIN: 8130.951. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: bf16bf16bf16Xeon Platinum 82533691215SE +/- 0.02, N = 312.90MIN: 9.691. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16Xeon Platinum 8253816243240SE +/- 0.02, N = 334.56MIN: 34.351. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: f32Xeon Platinum 82533691215SE +/- 0.01, N = 312.48MIN: 12.091. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16Xeon Platinum 82532K4K6K8K10KSE +/- 0.60, N = 38821.80MIN: 8810.391. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: f32Xeon Platinum 8253400800120016002000SE +/- 10.81, N = 31921.66MIN: 1887.521. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16Xeon Platinum 825348121620SE +/- 0.00, N = 315.35MIN: 15.211. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: u8s8f32Xeon Platinum 82533K6K9K12K15KSE +/- 1.33, N = 313247.7MIN: 132271. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16Xeon Platinum 825330060090012001500SE +/- 0.55, N = 31612.25MIN: 1610.141. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32Xeon Platinum 82530.77821.55642.33463.11283.891SE +/- 0.00398, N = 33.45886MIN: 3.351. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16Xeon Platinum 825313002600390052006500SE +/- 1.23, N = 36134.59MIN: 6121.341. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceXeon Platinum 825311002200330044005500SE +/- 35.33, N = 351371. (CC) gcc options: -O3

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileXeon Platinum 8253714212835SE +/- 0.05, N = 331.08

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishXeon Platinum 82534K8K12K16K20KSE +/- 6.33, N = 3190551. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Xeon Platinum 8253400K800K1200K1600K2000KSE +/- 2848.00, N = 316686671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileXeon Platinum 82531530456075SE +/- 0.07, N = 366.50

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080pXeon Platinum 825350100150200250SE +/- 0.54, N = 3248.30MIN: 247.23 / MAX: 249.181. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 4KXeon Platinum 8253306090120150SE +/- 0.45, N = 3119.63MIN: 119.04 / MAX: 120.671. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 1080pXeon Platinum 825370140210280350SE +/- 0.74, N = 3309.39MIN: 307.62 / MAX: 310.741. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080p 10-bitXeon Platinum 8253612182430SE +/- 0.01, N = 324.03MIN: 24 / MAX: 24.061. (CC) gcc options: -pthread

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUXeon Platinum 82533K6K9K12K15KSE +/- 17.29, N = 314949

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 2.82Blend File: BMW27 - Compute: CPU-OnlyXeon Platinum 82534080120160200SE +/- 0.16, N = 3171.50

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Classroom - Compute: CPU-OnlyXeon Platinum 8253110220330440550SE +/- 0.09, N = 3497.95

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: CPU-OnlyXeon Platinum 825360120180240300SE +/- 0.19, N = 3263.41

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Barbershop - Compute: CPU-OnlyXeon Platinum 8253150300450600750SE +/- 0.48, N = 3674.20

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Pabellon Barcelona - Compute: CPU-OnlyXeon Platinum 8253130260390520650SE +/- 0.45, N = 3611.01

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneXeon Platinum 82531122334455SE +/- 0.06, N = 349.24

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goXeon Platinum 825370140210280350331

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Xeon Platinum 8253100200300400500448

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosXeon Platinum 8253306090120150146

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatXeon Platinum 8253306090120150148

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyXeon Platinum 8253306090120150SE +/- 0.33, N = 3156

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibXeon Platinum 8253612182430SE +/- 0.03, N = 326.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceXeon Platinum 8253140280420560700SE +/- 0.88, N = 3635

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsXeon Platinum 8253816243240SE +/- 0.09, N = 333.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesXeon Platinum 8253306090120150SE +/- 0.33, N = 3139

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileXeon Platinum 825350100150200250239

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupXeon Platinum 82533691215SE +/- 0.12, N = 1511.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateXeon Platinum 825320406080100SE +/- 0.07, N = 375.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonXeon Platinum 8253130260390520650SE +/- 0.58, N = 3618

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acXeon Platinum 82532468107.56

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airXeon Platinum 82530.7741.5482.3223.0963.873.44

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxXeon Platinum 82532468106.77

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducXeon Platinum 8253369121510.67

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkXeon Platinum 82530.88431.76862.65293.53724.42153.93

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2Xeon Platinum 825381624324033.85

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodXeon Platinum 82532468108.22

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowXeon Platinum 825351015202520.41

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2Xeon Platinum 825361218243025.72

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinXeon Platinum 825351015202521.09

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaXeon Platinum 82534812162016.27

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Xeon Platinum 82532040608010083.37

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Xeon Platinum 8253153045607567.96

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2Xeon Platinum 8253163248648070.52

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Xeon Platinum 8253112233445546.47

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designXeon Platinum 82532040608010086.98

91 Results Shown

RawTherapee
GEGL:
  Crop
  Scale
  Cartoon
  Reflect
  Antialias
  Tile Glass
  Wavelet Blur
  Color Enhance
  Rotate 90 Degrees
librsvg
Inkscape
MKL-DNN DNNL
Scikit-Learn
MKL-DNN DNNL:
  Convolution Batch conv_googlenet_v3 - f32
  Deconvolution Batch deconv_3d - bf16bf16bf16
  Recurrent Neural Network Training - f32
  Convolution Batch conv_alexnet - u8s8f32
  Convolution Batch conv_all - u8s8f32
  Deconvolution Batch deconv_1d - u8s8f32
  IP Batch 1D - f32
  Deconvolution Batch deconv_3d - f32
Numpy Benchmark
Mlpack Benchmark
LAMMPS Molecular Dynamics Simulator
High Performance Conjugate Gradient
Timed FFmpeg Compilation
Timed GDB GNU Debugger Compilation
MKL-DNN DNNL:
  IP Batch All - f32
  Convolution Batch conv_googlenet_v3 - bf16bf16bf16
  IP Batch 1D - u8s8f32
  Convolution Batch conv_alexnet - f32
  IP Batch All - u8s8f32
  Deconvolution Batch deconv_all - f32
  IP Batch 1D - bf16bf16bf16
  Deconvolution Batch deconv_3d - u8s8f32
  IP Batch All - bf16bf16bf16
  Convolution Batch conv_3d - bf16bf16bf16
  Convolution Batch conv_3d - f32
  Convolution Batch conv_all - bf16bf16bf16
  Convolution Batch conv_all - f32
  Deconvolution Batch deconv_1d - bf16bf16bf16
  Convolution Batch conv_3d - u8s8f32
  Convolution Batch conv_alexnet - bf16bf16bf16
  Deconvolution Batch deconv_1d - f32
  Deconvolution Batch deconv_all - bf16bf16bf16
PostMark
Timed Apache Compilation
John The Ripper:
  Blowfish
  MD5
Timed PHP Compilation
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
Chaos Group V-RAY
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
rays1bench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Polyhedron Fortran Benchmarks:
  ac
  air
  mdbx
  doduc
  linpk
  tfft2
  aermod
  rnflow
  induct2
  protein
  capacita
  channel2
  fatigue2
  gas_dyn2
  test_fpu2
  mp_prop_design

Xeon Platinum 8253

Processor: Intel Xeon Platinum 8253 @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe 188GB, Monitor: VE228, Network: 2 x Intel I210

OS: Ubuntu 19.10, Kernel: 5.5.0-050500-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 256 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Python Notes: Python 2.7.17 + Python 3.7.5
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 + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 16 February 2020 14:37 by user phoronix.