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.

HTML result view exported from: https://openbenchmarking.org/result/2002171-VE-XEONPLATI79&gru.

Xeon Platinum 8253ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionXeon Platinum 8253Intel 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 20191008ext41920x1080OpenBenchmarking.org- --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 8253dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bithpcg: v-ray: CPUrays1bench: Large Scenelammps: Rhodopsin Proteinjohn-the-ripper: Blowfishjohn-the-ripper: MD5numpy: postmark: Disk Transaction Performancepyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: IP Batch 1D - bf16bf16bf16mkl-dnn: IP Batch All - bf16bf16bf16mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16mkl-dnn: Convolution Batch conv_alexnet - u8s8f32mkl-dnn: Convolution Batch conv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16polyhedron: acpolyhedron: airpolyhedron: mdbxpolyhedron: doducpolyhedron: linpkpolyhedron: tfft2polyhedron: aermodpolyhedron: rnflowpolyhedron: induct2polyhedron: proteinpolyhedron: capacitapolyhedron: channel2polyhedron: fatigue2polyhedron: gas_dyn2polyhedron: test_fpu2polyhedron: mp_prop_designbuild-apache: Time To Compilebuild-ffmpeg: Time To Compilebuild-gdb: Time To Compilebuild-php: Time To Compilegegl: Cropgegl: Scalegegl: Cartoongegl: Reflectgegl: Antialiasgegl: Tile Glassgegl: Wavelet Blurgegl: Color Enhancegegl: Rotate 90 Degreesinkscape: SVG Files To PNGrawtherapee: Total Benchmark Timersvg: SVG Files To PNGblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlymlpack: scikit_svmscikit-learn: Xeon Platinum 8253248.30167119.628958309.38979224.02645812.30641494949.247.536190551668667263.75513733144814614815626.263533.013923911.775.76185.181199.955770.8859875.521988.7312312.900312.48471921.6613247.73.458864.88666244.5896330.291472.830.8205478141.44226.59634.555466.32838821.80106.04315.345018.74301612.2526.78256134.59417.7207.563.446.7710.673.9333.858.2220.4125.7221.0916.2783.3767.9670.5246.4786.9831.08254.746148.30266.50111.6577.926139.41345.64858.05345.02396.37788.08259.14740.45264.00629.811171.50497.95263.41674.20611.0122.9537.892OpenBenchmarking.org

dav1d

Video Input: Chimera 1080p

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

dav1d

Video Input: Summer Nature 4K

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

dav1d

Video Input: Summer Nature 1080p

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

dav1d

Video Input: Chimera 1080p 10-bit

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

High Performance Conjugate Gradient

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

Chaos Group V-RAY

Mode: CPU

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

rays1bench

Large Scene

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

John The Ripper

Test: Blowfish

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

John The Ripper

Test: MD5

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

Numpy Benchmark

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

PostMark

Disk Transaction Performance

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

PyPerformance

Benchmark: go

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

PyPerformance

Benchmark: 2to3

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

PyPerformance

Benchmark: chaos

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

PyPerformance

Benchmark: float

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

PyPerformance

Benchmark: nbody

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

PyPerformance

Benchmark: pathlib

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

PyPerformance

Benchmark: raytrace

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

PyPerformance

Benchmark: json_loads

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

PyPerformance

Benchmark: crypto_pyaes

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

PyPerformance

Benchmark: regex_compile

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

PyPerformance

Benchmark: python_startup

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

PyPerformance

Benchmark: django_template

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

PyPerformance

Benchmark: pickle_pure_python

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

MKL-DNN DNNL

Harness: IP Batch 1D - Data Type: f32

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

MKL-DNN DNNL

Harness: IP Batch All - Data Type: f32

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

MKL-DNN DNNL

Harness: IP Batch 1D - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: IP Batch All - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: IP Batch 1D - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: IP Batch All - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Convolution Batch conv_3d - Data Type: f32

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

MKL-DNN DNNL

Harness: Convolution Batch conv_all - Data Type: f32

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

MKL-DNN DNNL

Harness: Convolution Batch conv_3d - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_1d - Data Type: f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_3d - Data Type: f32

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

MKL-DNN DNNL

Harness: Convolution Batch conv_alexnet - Data Type: f32

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

MKL-DNN DNNL

Harness: Convolution Batch conv_all - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_all - Data Type: f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: Recurrent Neural Network Training - Data Type: f32

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

MKL-DNN DNNL

Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32

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

MKL-DNN DNNL

Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16

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

MKL-DNN DNNL

Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16

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

Polyhedron Fortran Benchmarks

Benchmark: ac

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

Polyhedron Fortran Benchmarks

Benchmark: air

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

Polyhedron Fortran Benchmarks

Benchmark: mdbx

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

Polyhedron Fortran Benchmarks

Benchmark: doduc

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

Polyhedron Fortran Benchmarks

Benchmark: linpk

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

Polyhedron Fortran Benchmarks

Benchmark: tfft2

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

Polyhedron Fortran Benchmarks

Benchmark: aermod

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

Polyhedron Fortran Benchmarks

Benchmark: rnflow

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

Polyhedron Fortran Benchmarks

Benchmark: induct2

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

Polyhedron Fortran Benchmarks

Benchmark: protein

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

Polyhedron Fortran Benchmarks

Benchmark: capacita

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

Polyhedron Fortran Benchmarks

Benchmark: channel2

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

Polyhedron Fortran Benchmarks

Benchmark: fatigue2

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

Polyhedron Fortran Benchmarks

Benchmark: gas_dyn2

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

Polyhedron Fortran Benchmarks

Benchmark: test_fpu2

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

Polyhedron Fortran Benchmarks

Benchmark: mp_prop_design

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

Timed Apache Compilation

Time To Compile

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

Timed FFmpeg Compilation

Time To Compile

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

Timed GDB GNU Debugger Compilation

Time To Compile

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

Timed PHP Compilation

Time To Compile

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

GEGL

Operation: Crop

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

GEGL

Operation: Scale

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

GEGL

Operation: Cartoon

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

GEGL

Operation: Reflect

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

GEGL

Operation: Antialias

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

GEGL

Operation: Tile Glass

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

GEGL

Operation: Wavelet Blur

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

GEGL

Operation: Color Enhance

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

GEGL

Operation: Rotate 90 Degrees

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

Inkscape

Operation: SVG Files To PNG

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

RawTherapee

Total Benchmark Time

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

librsvg

Operation: SVG Files To PNG

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

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: CPU-OnlyXeon Platinum 82534080120160200SE +/- 0.16, N = 3171.50

Blender

Blend File: Classroom - Compute: CPU-Only

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

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

Blender

Blend File: Barbershop - Compute: CPU-Only

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

Mlpack Benchmark

Benchmark: scikit_svm

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

Scikit-Learn

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

Phoronix Test Suite v10.8.5