Microsoft Azure EPYC 7003 HBv3 Benchmarks

Azure HBv3 vs. Azure HBv2 benchmarks.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2104110-IB-2104116PT06
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Azure HBv3
April 09
  11 Hours, 37 Minutes
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  14 Hours, 14 Minutes
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April 11
  21 Hours, 14 Minutes
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Microsoft Azure EPYC 7003 HBv3 BenchmarksProcessorMotherboardMemoryDiskGraphicsOSKernelCompilerFile-SystemScreen ResolutionSystem LayerAzure HBv3Azure HBv2Azure HBv12 x AMD EPYC 7V13 64-Core (120 Cores)Microsoft Virtual Machine (Hyper-V UEFI v4.1 BIOS)442GB2 x 960GB Microsoft NVMe Direct Disk + 32GB Virtual Disk + 515GB Virtual Diskhyperv_fbCentOS Linux 84.18.0-147.8.1.el8_1.x86_64 (x86_64)GCC 8.3.1 20190507nfs1152x864microsoft2 x AMD EPYC 7V12 64-Core (120 Cores)Microsoft Virtual Machine (Hyper-V UEFI v4.0 BIOS)450GB960GB Microsoft NVMe Direct Disk + 32GB Virtual Disk + 515GB Virtual Disk2 x AMD EPYC 7551 32-Core (60 Cores)226GB32GB Virtual Disk + 752GB Virtual DiskOpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --build=x86_64-redhat-linux --disable-libmpx --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver Processor Details- CPU Microcode: 0xffffffffPython Details- Python 3.6.8Security Details- Azure HBv3: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline STIBP: disabled RSB filling + tsx_async_abort: Not affected - Azure HBv2: 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 generic retpoline STIBP: disabled RSB filling + tsx_async_abort: Not affected - Azure HBv1: 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 generic retpoline STIBP: disabled RSB filling + tsx_async_abort: Not affected

Azure HBv3Azure HBv2Azure HBv1Logarithmic Result OverviewPhoronix Test Suite 10.4.0m1oneDNNSVT-HEVCPennantGROMACSSVT-VP9NAMDSVT-AV1NAS Parallel BenchmarksRodiniaLULESHKripkeMobile Neural NetworkTensorFlow LiteZstd CompressionQuantLibNCNNPlaidMLTimed Node.js CompilationTimed LLVM CompilationBotanGNU GMP GMPbenchXcompact3d Incompact3dTNNTimed MAFFT AlignmentCloverLeafTimed Linux Kernel CompilationHigh Performance Conjugate GradientTimed HMMer SearchminiFEFinanceBench

Microsoft Azure EPYC 7003 HBv3 Benchmarksquantlib: hpcg: npb: LU.Cminife: Smallcloverleaf: Lagrangian-Eulerian Hydrodynamicsrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomspennant: sedovbigpennant: leblancbighmmer: Pfam Database Searchincompact3d: X3D-benchmarking input.i3dmafft: Multiple Sequence Alignment - LSU RNAlulesh: gmpbench: Total Timecompress-zstd: 8 - Compression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedbotan: KASUMIbotan: KASUMI - Decryptbotan: AES-256botan: AES-256 - Decryptbotan: Twofishbotan: Twofish - Decryptbotan: Blowfishbotan: Blowfish - Decryptbotan: CAST-256botan: CAST-256 - Decryptbotan: ChaCha20Poly1305botan: ChaCha20Poly1305 - Decryptsvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080psvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pbuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilebuild-nodejs: Time To Compileonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUfinancebench: Repo OpenMPfinancebench: Bonds OpenMPgromacs: Water Benchmarktensorflow-lite: SqueezeNetmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU - vgg16ncnn: CPU - alexnetncnn: CPU - resnet50tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - ResNet 50 - CPUkripke: compress-zstd: 8 - Decompression Speedncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - resnet18ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mAzure HBv3Azure HBv2Azure HBv12299.339.062056682.8213785.316.6637.80382.48949.3538.4607.3790.275665.8334193.337201175.239287.59950814.32641636.6034893.43184.278.23717.5771.94256.836.33727.587.48084.0595412.1315407.477346.319345.776424.738425.158133.691133.665667.765658.3700.16112.27594.02845.39378.01548.33357.06376.91337.7142.008163.760111.3270.8813073.212040.3838550.5752389.504451.581820.4066860.455682875.166530.898962.336561.7730.255501843.103540.1940.44522359196.546875104884.2942719.04166320.48.22429.0864.7823.95034.71027.8723.2413.7121.0447.676.8930.03272.61438.3934.536.27823418651725.237.268653829.3413165.0923.7839.198107.97657.04013.04212.9120.300566.0264493.486503207.867318.90500916.06434803.5394155.52653.169.52631.0588.03037.533.42674.273.17571.1013934.4013938.444280.902283.257348.425349.147113.600113.724615.795610.8610.1249.51278.10436.12166.90379.91140.30163.51140.5944.922174.743118.9691.124849.683210.4410120.58198112.10511.595571.0319420.7321301314.00778.3051287.03791.4600.3503471294.53796.8160.52473775154.257813133719.3281258.45874885.414.13652.53312.5278.03055.35652.5637.2021.3932.42133.7810.8064.80323.61525.5723.125.60438555501251.730.431425304.1911999.5725.0090.175145.56967.29612.94044.0650.7094715.5289910.33764209.386455.81237822.06719011.4583021.3920.148.52005.4468.82339.625.12019.357.95055.9803144.3133151.228217.312218.034273.039272.73388.54588.555303.243300.1780.0764.66940.14621.12119.20141.93132.23141.53129.4458.738283.291194.5501.8783410.222631.763558.867527.915693.940772.405612.736215524.503344.145539.483373.881.512715355.243423.151.15465108606.502604195702.7968753.28895206.217.19462.4469.8026.22476.79943.1218.5019.2623.17147.8826.8863.25420.04719.8815.974.80387690972163.217.3516.687.9941.4939.2465.4946.54111.05OpenBenchmarking.org

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Azure HBv3Azure HBv2Azure HBv15001000150020002500SE +/- 4.80, N = 3SE +/- 0.77, N = 3SE +/- 1.79, N = 32299.31725.21251.71. (CXX) g++ options: -O3 -march=native -O2 -rdynamic -lboost_timer -lboost_system -lboost_chrono
OpenBenchmarking.orgMFLOPS Per Core, More Is BetterQuantLib 1.21Performance Per CoreAzure HBv3Azure HBv2Azure HBv151015202519.1614.3820.861. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Azure HBv3Azure HBv2Azure HBv1400800120016002000Min: 2290.1 / Avg: 2299.27 / Max: 2306.3Min: 1724.1 / Avg: 1725.23 / Max: 1726.7Min: 1249 / Avg: 1251.73 / Max: 1255.11. (CXX) g++ options: -O3 -march=native -O2 -rdynamic -lboost_timer -lboost_system -lboost_chrono

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 3.1Azure HBv3Azure HBv2Azure HBv1918273645SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 339.0637.2730.431. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Core, More Is BetterHigh Performance Conjugate Gradient 3.1Performance Per CoreAzure HBv3Azure HBv2Azure HBv10.11410.22820.34230.45640.57050.32550.31060.50721. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Azure HBv3Azure HBv2Azure HBv1816243240Min: 38.95 / Avg: 39.06 / Max: 39.14Min: 37.16 / Avg: 37.27 / Max: 37.36Min: 30.1 / Avg: 30.43 / Max: 30.681. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -fexceptions -pthread -lmpi_cxx -lmpi

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAzure HBv3Azure HBv2Azure HBv112K24K36K48K60KSE +/- 428.57, N = 14SE +/- 21.24, N = 3SE +/- 114.01, N = 356682.8253829.3425304.191. (F9X) gfortran options: -O3 -march=native -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgTotal Mop/s Per Core, More Is BetterNAS Parallel Benchmarks 3.4Performance Per Core - Test / Class: LU.CAzure HBv3Azure HBv2Azure HBv1100200300400500472.36448.58421.741. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAzure HBv3Azure HBv2Azure HBv110K20K30K40K50KMin: 51213.56 / Avg: 56682.82 / Max: 57398.81Min: 53787.12 / Avg: 53829.34 / Max: 53854.58Min: 25096.86 / Avg: 25304.19 / Max: 25490.031. (F9X) gfortran options: -O3 -march=native -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAzure HBv3Azure HBv2Azure HBv13K6K9K12K15KSE +/- 387.39, N = 15SE +/- 608.74, N = 12SE +/- 486.67, N = 1513785.3013165.0911999.571. (CXX) g++ options: -O3 -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops Per Core, More Is BetterminiFE 2.2Performance Per Core - Problem Size: SmallAzure HBv3Azure HBv2Azure HBv14080120160200114.88109.71199.991. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAzure HBv3Azure HBv2Azure HBv12K4K6K8K10KMin: 11739.8 / Avg: 13785.25 / Max: 17284.4Min: 8616.53 / Avg: 13165.09 / Max: 15973.2Min: 8786.85 / Avg: 11999.57 / Max: 15036.51. (CXX) g++ options: -O3 -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAzure HBv3Azure HBv2Azure HBv1612182430SE +/- 0.83, N = 15SE +/- 0.45, N = 12SE +/- 0.11, N = 316.6623.7825.001. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterCloverLeafPerformance Per Core - Lagrangian-Eulerian HydrodynamicsAzure HBv3Azure HBv2Azure HBv160012001800240030001999.22853.61500.01. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAzure HBv3Azure HBv2Azure HBv1612182430Min: 13.14 / Avg: 16.66 / Max: 24.43Min: 21.27 / Avg: 23.78 / Max: 26.48Min: 24.85 / Avg: 25 / Max: 25.211. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDAzure HBv3Azure HBv2Azure HBv120406080100SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.39, N = 337.8039.2090.181. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP LavaMDAzure HBv3Azure HBv2Azure HBv1120024003600480060004536.364703.765410.501. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDAzure HBv3Azure HBv2Azure HBv120406080100Min: 37.37 / Avg: 37.8 / Max: 38.12Min: 38.79 / Avg: 39.2 / Max: 39.41Min: 89.43 / Avg: 90.18 / Max: 90.731. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DAzure HBv3Azure HBv2Azure HBv1306090120150SE +/- 1.18, N = 15SE +/- 0.89, N = 3SE +/- 1.35, N = 382.49107.98145.571. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP HotSpot3DAzure HBv3Azure HBv2Azure HBv13K6K9K12K15K9898.6812957.128734.141. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DAzure HBv3Azure HBv2Azure HBv1306090120150Min: 77.17 / Avg: 82.49 / Max: 91.09Min: 106.46 / Avg: 107.98 / Max: 109.52Min: 142.93 / Avg: 145.57 / Max: 147.391. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteAzure HBv3Azure HBv2Azure HBv11530456075SE +/- 0.43, N = 8SE +/- 0.57, N = 3SE +/- 0.11, N = 349.3557.0467.301. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP LeukocyteAzure HBv3Azure HBv2Azure HBv1150030004500600075005922.366844.804037.761. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteAzure HBv3Azure HBv2Azure HBv11326395265Min: 47.97 / Avg: 49.35 / Max: 52.04Min: 56.01 / Avg: 57.04 / Max: 57.97Min: 67.08 / Avg: 67.3 / Max: 67.471. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverAzure HBv3Azure HBv2Azure HBv13691215SE +/- 0.801, N = 12SE +/- 0.748, N = 12SE +/- 0.361, N = 128.46013.04212.9401. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP CFD SolverAzure HBv3Azure HBv2Azure HBv1300600900120015001015.201565.04776.401. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverAzure HBv3Azure HBv2Azure HBv148121620Min: 6.63 / Avg: 8.46 / Max: 15.47Min: 10.79 / Avg: 13.04 / Max: 19.76Min: 11.2 / Avg: 12.94 / Max: 15.441. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterAzure HBv3Azure HBv2Azure HBv11020304050SE +/- 0.196, N = 15SE +/- 0.453, N = 15SE +/- 3.656, N = 157.37912.91244.0651. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP StreamclusterAzure HBv3Azure HBv2Azure HBv16001200180024003000885.481549.442643.901. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterAzure HBv3Azure HBv2Azure HBv1918273645Min: 6.73 / Avg: 7.38 / Max: 8.97Min: 10.48 / Avg: 12.91 / Max: 15.91Min: 19.2 / Avg: 44.07 / Max: 61.651. (CXX) g++ options: -O2 -lOpenCL

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 AtomsAzure HBv3Azure HBv2Azure HBv10.15960.31920.47880.63840.798SE +/- 0.00027, N = 3SE +/- 0.00059, N = 3SE +/- 0.00507, N = 30.275660.300560.70947
OpenBenchmarking.orgdays/ns x Core, Fewer Is BetterNAMD 2.14Performance Per Core - ATPase Simulation - 327,506 AtomsAzure HBv3Azure HBv2Azure HBv1102030405033.0836.0742.571. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsAzure HBv3Azure HBv2Azure HBv1246810Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 0.7 / Avg: 0.71 / Max: 0.72

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAzure HBv3Azure HBv2Azure HBv148121620SE +/- 0.003905, N = 3SE +/- 0.012548, N = 3SE +/- 0.085157, N = 35.8334196.02644915.5289901. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds x Core, Fewer Is BetterPennant 1.0.1Performance Per Core - Test: sedovbigAzure HBv3Azure HBv2Azure HBv12004006008001000700.01723.17931.741. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAzure HBv3Azure HBv2Azure HBv148121620Min: 5.83 / Avg: 5.83 / Max: 5.84Min: 6 / Avg: 6.03 / Max: 6.05Min: 15.38 / Avg: 15.53 / Max: 15.681. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAzure HBv3Azure HBv2Azure HBv13691215SE +/- 0.017738, N = 3SE +/- 0.009939, N = 3SE +/- 0.027196, N = 33.3372013.48650310.3376401. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds x Core, Fewer Is BetterPennant 1.0.1Performance Per Core - Test: leblancbigAzure HBv3Azure HBv2Azure HBv1130260390520650400.46418.38620.261. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAzure HBv3Azure HBv2Azure HBv13691215Min: 3.3 / Avg: 3.34 / Max: 3.36Min: 3.47 / Avg: 3.49 / Max: 3.51Min: 10.3 / Avg: 10.34 / Max: 10.391. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchAzure HBv3Azure HBv2Azure HBv150100150200250SE +/- 1.00, N = 3SE +/- 1.08, N = 3SE +/- 0.42, N = 3175.24207.87209.391. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed HMMer Search 3.3.1Performance Per Core - Pfam Database SearchAzure HBv3Azure HBv2Azure HBv15K10K15K20K25K21028.6824944.0412563.161. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchAzure HBv3Azure HBv2Azure HBv14080120160200Min: 173.26 / Avg: 175.24 / Max: 176.52Min: 205.71 / Avg: 207.87 / Max: 209.04Min: 208.74 / Avg: 209.39 / Max: 210.181. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Xcompact3d Incompact3d

Xcompact3d 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 BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dAzure HBv3Azure HBv2Azure HBv1100200300400500SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 2.96, N = 3287.60318.91455.811. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance Per Core - Input: X3D-benchmarking input.i3dAzure HBv3Azure HBv2Azure HBv18K16K24K32K40K34511.9438268.6027348.741. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dAzure HBv3Azure HBv2Azure HBv180160240320400Min: 287.31 / Avg: 287.6 / Max: 287.89Min: 318.81 / Avg: 318.91 / Max: 319.04Min: 449.89 / Avg: 455.81 / Max: 458.881. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAAzure HBv3Azure HBv2Azure HBv1510152025SE +/- 0.10, N = 15SE +/- 0.06, N = 3SE +/- 0.24, N = 314.3316.0622.071. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed MAFFT Alignment 7.471Performance Per Core - Multiple Sequence Alignment - LSU RNAAzure HBv3Azure HBv2Azure HBv14008001200160020001719.121927.681324.021. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAAzure HBv3Azure HBv2Azure HBv1510152025Min: 13.68 / Avg: 14.33 / Max: 15.05Min: 16 / Avg: 16.06 / Max: 16.19Min: 21.8 / Avg: 22.07 / Max: 22.541. (CC) gcc options: -std=c99 -O3 -lm -lpthread

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Azure HBv3Azure HBv2Azure HBv19K18K27K36K45KSE +/- 476.10, N = 3SE +/- 44.77, N = 3SE +/- 81.47, N = 341636.6034803.5419011.461. (CXX) g++ options: -O3 -fopenmp -lm -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Core, More Is BetterLULESH 2.0.3Performance Per CoreAzure HBv3Azure HBv2Azure HBv180160240320400346.97290.03316.861. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Azure HBv3Azure HBv2Azure HBv17K14K21K28K35KMin: 40950.33 / Avg: 41636.6 / Max: 42551.38Min: 34743.07 / Avg: 34803.54 / Max: 34890.96Min: 18850.32 / Avg: 19011.46 / Max: 19112.961. (CXX) g++ options: -O3 -fopenmp -lm -fexceptions -pthread -lmpi_cxx -lmpi

GNU GMP GMPbench

GMPbench is a test of the GNU Multiple Precision Arithmetic (GMP) Library. GMPbench is a single-threaded integer benchmark that leverages the GMP library to stress the CPU with widening integer multiplication. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGMPbench Score, More Is BetterGNU GMP GMPbench 6.2.1Total TimeAzure HBv3Azure HBv2Azure HBv1100020003000400050004893.44155.53021.31. (CC) gcc options: -O3 -fomit-frame-pointer -lm
OpenBenchmarking.orgGMPbench Score Per Core, More Is BetterGNU GMP GMPbench 6.2.1Performance Per Core - Total TimeAzure HBv3Azure HBv2Azure HBv1112233445540.7834.6350.361. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8 - Compression SpeedAzure HBv3Azure HBv2Azure HBv17001400210028003500SE +/- 45.10, N = 3SE +/- 33.03, N = 15SE +/- 6.06, N = 33184.22653.1920.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 8 - Compression SpeedAzure HBv3Azure HBv2Azure HBv161218243026.5422.1115.341. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8 - Compression SpeedAzure HBv3Azure HBv2Azure HBv16001200180024003000Min: 3127 / Avg: 3184.2 / Max: 3273.2Min: 2446.8 / Avg: 2653.14 / Max: 2850.1Min: 911.5 / Avg: 920.1 / Max: 931.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Compression SpeedAzure HBv3Azure HBv2Azure HBv120406080100SE +/- 0.71, N = 15SE +/- 1.18, N = 15SE +/- 0.83, N = 1578.269.548.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 19 - Compression SpeedAzure HBv3Azure HBv2Azure HBv10.18190.36380.54570.72760.90950.65170.57920.80831. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Compression SpeedAzure HBv3Azure HBv2Azure HBv11530456075Min: 72.9 / Avg: 78.15 / Max: 83.1Min: 61.4 / Avg: 69.51 / Max: 77.6Min: 41.8 / Avg: 48.53 / Max: 53.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Decompression SpeedAzure HBv3Azure HBv2Azure HBv18001600240032004000SE +/- 6.14, N = 15SE +/- 1.17, N = 15SE +/- 0.66, N = 153717.52631.02005.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 19 - Decompression SpeedAzure HBv3Azure HBv2Azure HBv181624324030.9821.9333.421. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Decompression SpeedAzure HBv3Azure HBv2Azure HBv16001200180024003000Min: 3679.6 / Avg: 3717.45 / Max: 3752Min: 2621.5 / Avg: 2631.01 / Max: 2637.8Min: 2002 / Avg: 2005.4 / Max: 2009.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Compression SpeedAzure HBv3Azure HBv2Azure HBv1170340510680850SE +/- 6.99, N = 7SE +/- 0.81, N = 3SE +/- 3.02, N = 15771.9588.0468.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 8, Long Mode - Compression SpeedAzure HBv3Azure HBv2Azure HBv12468106.434.907.811. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Compression SpeedAzure HBv3Azure HBv2Azure HBv1140280420560700Min: 748.6 / Avg: 771.91 / Max: 801.2Min: 586.7 / Avg: 588 / Max: 589.5Min: 450.5 / Avg: 468.85 / Max: 490.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Decompression SpeedAzure HBv3Azure HBv2Azure HBv19001800270036004500SE +/- 4.89, N = 7SE +/- 4.57, N = 3SE +/- 1.19, N = 154256.83037.52339.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 8, Long Mode - Decompression SpeedAzure HBv3Azure HBv2Azure HBv191827364535.4725.3138.991. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Decompression SpeedAzure HBv3Azure HBv2Azure HBv17001400210028003500Min: 4238.7 / Avg: 4256.83 / Max: 4275.7Min: 3028.9 / Avg: 3037.5 / Max: 3044.5Min: 2328.6 / Avg: 2339.59 / Max: 2344.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Compression SpeedAzure HBv3Azure HBv2Azure HBv1816243240SE +/- 0.34, N = 15SE +/- 0.38, N = 15SE +/- 0.69, N = 1236.333.425.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 19, Long Mode - Compression SpeedAzure HBv3Azure HBv2Azure HBv10.09410.18820.28230.37640.47050.30250.27830.41831. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Compression SpeedAzure HBv3Azure HBv2Azure HBv1816243240Min: 34 / Avg: 36.33 / Max: 38.5Min: 31.2 / Avg: 33.42 / Max: 35.5Min: 22 / Avg: 25.08 / Max: 29.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Decompression SpeedAzure HBv3Azure HBv2Azure HBv18001600240032004000SE +/- 12.70, N = 15SE +/- 2.70, N = 15SE +/- 0.32, N = 123727.52674.22019.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Core, More Is BetterZstd Compression 1.4.9Performance Per Core - Compression Level: 19, Long Mode - Decompression SpeedAzure HBv3Azure HBv2Azure HBv181624324031.0622.2933.661. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Decompression SpeedAzure HBv3Azure HBv2Azure HBv16001200180024003000Min: 3565.1 / Avg: 3727.52 / Max: 3764.5Min: 2640.1 / Avg: 2674.21 / Max: 2684.6Min: 2017.1 / Avg: 2019.28 / Max: 2020.71. (CC) gcc options: -O3 -pthread -lz -llzma

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMIAzure HBv3Azure HBv2Azure HBv120406080100SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 387.4873.1857.951. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: KASUMIAzure HBv3Azure HBv2Azure HBv10.21730.43460.65190.86921.08650.72900.60980.96581. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMIAzure HBv3Azure HBv2Azure HBv120406080100Min: 87.41 / Avg: 87.48 / Max: 87.53Min: 73.08 / Avg: 73.18 / Max: 73.31Min: 57.95 / Avg: 57.95 / Max: 57.951. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - DecryptAzure HBv3Azure HBv2Azure HBv120406080100SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 384.0671.1055.981. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: KASUMI - DecryptAzure HBv3Azure HBv2Azure HBv10.20990.41980.62970.83961.04950.70050.59250.93301. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - DecryptAzure HBv3Azure HBv2Azure HBv11632486480Min: 84.03 / Avg: 84.06 / Max: 84.08Min: 71.04 / Avg: 71.1 / Max: 71.18Min: 55.97 / Avg: 55.98 / Max: 55.991. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256Azure HBv3Azure HBv2Azure HBv112002400360048006000SE +/- 3.73, N = 3SE +/- 2.68, N = 3SE +/- 16.79, N = 35412.133934.403144.311. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: AES-256Azure HBv3Azure HBv2Azure HBv1122436486045.1032.7952.411. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256Azure HBv3Azure HBv2Azure HBv19001800270036004500Min: 5405.03 / Avg: 5412.13 / Max: 5417.66Min: 3929.32 / Avg: 3934.4 / Max: 3938.41Min: 3110.74 / Avg: 3144.31 / Max: 3161.451. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - DecryptAzure HBv3Azure HBv2Azure HBv112002400360048006000SE +/- 7.85, N = 3SE +/- 3.26, N = 3SE +/- 1.16, N = 35407.483938.443151.231. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: AES-256 - DecryptAzure HBv3Azure HBv2Azure HBv1122436486045.0632.8252.521. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - DecryptAzure HBv3Azure HBv2Azure HBv19001800270036004500Min: 5393.16 / Avg: 5407.48 / Max: 5420.23Min: 3931.93 / Avg: 3938.44 / Max: 3941.77Min: 3149.12 / Avg: 3151.23 / Max: 3153.121. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: TwofishAzure HBv3Azure HBv2Azure HBv180160240320400SE +/- 1.10, N = 3SE +/- 0.15, N = 3SE +/- 2.54, N = 4346.32280.90217.311. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: TwofishAzure HBv3Azure HBv2Azure HBv10.81451.6292.44353.2584.07252.892.343.621. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: TwofishAzure HBv3Azure HBv2Azure HBv160120180240300Min: 344.13 / Avg: 346.32 / Max: 347.56Min: 280.75 / Avg: 280.9 / Max: 281.2Min: 209.7 / Avg: 217.31 / Max: 220.281. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - DecryptAzure HBv3Azure HBv2Azure HBv180160240320400SE +/- 0.77, N = 3SE +/- 0.22, N = 3SE +/- 2.43, N = 4345.78283.26218.031. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: Twofish - DecryptAzure HBv3Azure HBv2Azure HBv10.81681.63362.45043.26724.0842.882.363.631. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - DecryptAzure HBv3Azure HBv2Azure HBv160120180240300Min: 344.23 / Avg: 345.78 / Max: 346.56Min: 282.85 / Avg: 283.26 / Max: 283.6Min: 210.76 / Avg: 218.03 / Max: 220.811. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: BlowfishAzure HBv3Azure HBv2Azure HBv190180270360450SE +/- 0.47, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3424.74348.43273.041. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: BlowfishAzure HBv3Azure HBv2Azure HBv11.02382.04763.07144.09525.1193.542.904.551. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: BlowfishAzure HBv3Azure HBv2Azure HBv180160240320400Min: 423.81 / Avg: 424.74 / Max: 425.22Min: 347.64 / Avg: 348.43 / Max: 349.09Min: 272.87 / Avg: 273.04 / Max: 273.211. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - DecryptAzure HBv3Azure HBv2Azure HBv190180270360450SE +/- 0.42, N = 3SE +/- 0.56, N = 3SE +/- 0.08, N = 3425.16349.15272.731. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: Blowfish - DecryptAzure HBv3Azure HBv2Azure HBv11.02382.04763.07144.09525.1193.542.914.551. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - DecryptAzure HBv3Azure HBv2Azure HBv180160240320400Min: 424.32 / Avg: 425.16 / Max: 425.59Min: 348.3 / Avg: 349.15 / Max: 350.2Min: 272.59 / Avg: 272.73 / Max: 272.851. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256Azure HBv3Azure HBv2Azure HBv1306090120150SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3133.69113.6088.551. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: CAST-256Azure HBv3Azure HBv2Azure HBv10.3330.6660.9991.3321.6651.11000.94671.48001. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256Azure HBv3Azure HBv2Azure HBv1306090120150Min: 133.65 / Avg: 133.69 / Max: 133.74Min: 113.46 / Avg: 113.6 / Max: 113.69Min: 88.52 / Avg: 88.55 / Max: 88.571. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - DecryptAzure HBv3Azure HBv2Azure HBv1306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 2133.67113.7288.561. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: CAST-256 - DecryptAzure HBv3Azure HBv2Azure HBv10.3330.6660.9991.3321.6651.11000.94771.48001. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - DecryptAzure HBv3Azure HBv2Azure HBv1306090120150Min: 133.63 / Avg: 133.67 / Max: 133.69Min: 113.71 / Avg: 113.72 / Max: 113.73Min: 88.52 / Avg: 88.56 / Max: 88.591. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305Azure HBv3Azure HBv2Azure HBv1140280420560700SE +/- 0.27, N = 3SE +/- 0.90, N = 3SE +/- 1.39, N = 3667.77615.80303.241. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: ChaCha20Poly1305Azure HBv3Azure HBv2Azure HBv11.2512.5023.7535.0046.2555.565.135.051. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305Azure HBv3Azure HBv2Azure HBv1120240360480600Min: 667.33 / Avg: 667.77 / Max: 668.25Min: 614.01 / Avg: 615.79 / Max: 616.82Min: 300.93 / Avg: 303.24 / Max: 305.731. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - DecryptAzure HBv3Azure HBv2Azure HBv1140280420560700SE +/- 0.06, N = 3SE +/- 0.78, N = 3SE +/- 1.37, N = 3658.37610.86300.181. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Core, More Is BetterBotan 2.17.3Performance Per Core - Test: ChaCha20Poly1305 - DecryptAzure HBv3Azure HBv2Azure HBv11.23532.47063.70594.94126.17655.495.095.001. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - DecryptAzure HBv3Azure HBv2Azure HBv1120240360480600Min: 658.25 / Avg: 658.37 / Max: 658.44Min: 609.48 / Avg: 610.86 / Max: 612.17Min: 298.15 / Avg: 300.18 / Max: 302.81. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAzure HBv3Azure HBv2Azure HBv10.03620.07240.10860.14480.181SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1610.1240.0761. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-AV1 0.8Performance Per Core - Encoder Mode: Enc Mode 0 - Input: 1080pAzure HBv3Azure HBv2Azure HBv10.00030.00060.00090.00120.00150.00130.00100.00131. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAzure HBv3Azure HBv2Azure HBv112345Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.08 / Avg: 0.08 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAzure HBv3Azure HBv2Azure HBv13691215SE +/- 0.031, N = 3SE +/- 0.218, N = 15SE +/- 0.034, N = 1112.2759.5124.6691. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-AV1 0.8Performance Per Core - Encoder Mode: Enc Mode 4 - Input: 1080pAzure HBv3Azure HBv2Azure HBv10.0230.0460.0690.0920.1150.10230.07930.07781. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAzure HBv3Azure HBv2Azure HBv148121620Min: 12.22 / Avg: 12.28 / Max: 12.32Min: 7.69 / Avg: 9.51 / Max: 10.39Min: 4.52 / Avg: 4.67 / Max: 4.941. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAzure HBv3Azure HBv2Azure HBv120406080100SE +/- 0.34, N = 3SE +/- 0.65, N = 3SE +/- 0.54, N = 1294.0378.1040.151. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-AV1 0.8Performance Per Core - Encoder Mode: Enc Mode 8 - Input: 1080pAzure HBv3Azure HBv2Azure HBv10.17630.35260.52890.70520.88150.78360.65090.66911. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAzure HBv3Azure HBv2Azure HBv120406080100Min: 93.43 / Avg: 94.03 / Max: 94.59Min: 76.81 / Avg: 78.1 / Max: 78.78Min: 36.81 / Avg: 40.15 / Max: 44.641. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv11020304050SE +/- 0.60, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 345.3936.1221.121. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-HEVC 1.5.0Performance Per Core - Tuning: 1 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv10.08510.17020.25530.34040.42550.37830.30100.35201. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv1918273645Min: 44.65 / Avg: 45.39 / Max: 46.57Min: 35.86 / Avg: 36.12 / Max: 36.3Min: 20.89 / Avg: 21.12 / Max: 21.271. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv180160240320400SE +/- 4.22, N = 3SE +/- 6.53, N = 12SE +/- 1.15, N = 3378.01166.90119.201. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-HEVC 1.5.0Performance Per Core - Tuning: 7 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv10.70881.41762.12642.83523.5443.151.391.991. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv170140210280350Min: 369.69 / Avg: 378.01 / Max: 383.39Min: 129.12 / Avg: 166.9 / Max: 202.77Min: 117.12 / Avg: 119.2 / Max: 121.091. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv1120240360480600SE +/- 7.76, N = 3SE +/- 21.86, N = 15SE +/- 2.68, N = 15548.33379.91141.931. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-HEVC 1.5.0Performance Per Core - Tuning: 10 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv11.02832.05663.08494.11325.14154.573.172.371. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv1100200300400500Min: 532.86 / Avg: 548.33 / Max: 557.1Min: 151.29 / Avg: 379.91 / Max: 460.12Min: 130.01 / Avg: 141.93 / Max: 170.991. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv180160240320400SE +/- 23.14, N = 12SE +/- 5.31, N = 15SE +/- 5.97, N = 12357.06140.30132.231. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-VP9 0.3Performance Per Core - Tuning: VMAF Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv10.67051.3412.01152.6823.35252.981.172.201. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv160120180240300Min: 106.25 / Avg: 357.06 / Max: 406.73Min: 97.49 / Avg: 140.3 / Max: 193.3Min: 67.98 / Avg: 132.23 / Max: 147.61. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv180160240320400SE +/- 5.29, N = 15SE +/- 9.44, N = 12SE +/- 0.73, N = 3376.91163.51141.531. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-VP9 0.3Performance Per Core - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv10.70651.4132.11952.8263.53253.141.362.361. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv170140210280350Min: 356.6 / Avg: 376.91 / Max: 425.74Min: 140.75 / Avg: 163.51 / Max: 260.45Min: 140.57 / Avg: 141.53 / Max: 142.961. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv170140210280350SE +/- 4.36, N = 3SE +/- 0.20, N = 3SE +/- 1.10, N = 8337.71140.59129.441. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-VP9 0.3Performance Per Core - Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv10.63231.26461.89692.52923.16152.811.172.161. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAzure HBv3Azure HBv2Azure HBv160120180240300Min: 329.01 / Avg: 337.71 / Max: 342.57Min: 140.32 / Avg: 140.59 / Max: 140.98Min: 125.4 / Avg: 129.44 / Max: 134.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -lm

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileAzure HBv3Azure HBv2Azure HBv11326395265SE +/- 0.58, N = 15SE +/- 0.58, N = 13SE +/- 0.45, N = 1342.0144.9258.74
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Performance Per Core - Time To CompileAzure HBv3Azure HBv2Azure HBv1120024003600480060005040.965390.643524.281. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileAzure HBv3Azure HBv2Azure HBv11224364860Min: 39.43 / Avg: 42.01 / Max: 49.12Min: 43.11 / Avg: 44.92 / Max: 50.84Min: 58.06 / Avg: 58.74 / Max: 64.17

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 CompileAzure HBv3Azure HBv2Azure HBv160120180240300SE +/- 1.89, N = 3SE +/- 1.99, N = 3SE +/- 3.41, N = 4163.76174.74283.29
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Core - Time To CompileAzure HBv3Azure HBv2Azure HBv14K8K12K16K20K19651.2020969.1616997.461. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAzure HBv3Azure HBv2Azure HBv150100150200250Min: 160.99 / Avg: 163.76 / Max: 167.37Min: 172.31 / Avg: 174.74 / Max: 178.69Min: 276.76 / Avg: 283.29 / Max: 292.78

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileAzure HBv3Azure HBv2Azure HBv14080120160200SE +/- 1.09, N = 3SE +/- 0.83, N = 3SE +/- 0.16, N = 3111.33118.97194.55
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Node.js Compilation 15.11Performance Per Core - Time To CompileAzure HBv3Azure HBv2Azure HBv13K6K9K12K15K13359.2414276.2811673.001. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileAzure HBv3Azure HBv2Azure HBv14080120160200Min: 110.23 / Avg: 111.33 / Max: 113.5Min: 118.09 / Avg: 118.97 / Max: 120.62Min: 194.23 / Avg: 194.55 / Max: 194.72

oneDNN

This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.42260.84521.26781.69042.113SE +/- 0.012358, N = 3SE +/- 0.011740, N = 15SE +/- 0.021017, N = 30.8813071.1248401.878340MIN: 0.76MIN: 1.01MIN: 1.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1306090120150105.76134.98112.701. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 0.86 / Avg: 0.88 / Max: 0.9Min: 1.07 / Avg: 1.12 / Max: 1.23Min: 1.84 / Avg: 1.88 / Max: 1.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv13691215SE +/- 0.02162, N = 3SE +/- 0.28898, N = 15SE +/- 0.43651, N = 153.212049.6832110.22263MIN: 2.58MIN: 5.56MIN: 4.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv12004006008001000385.451161.99613.361. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv13691215Min: 3.17 / Avg: 3.21 / Max: 3.25Min: 9.08 / Avg: 9.68 / Max: 12.42Min: 9.15 / Avg: 10.22 / Max: 14.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.39680.79361.19041.58721.984SE +/- 0.009558, N = 12SE +/- 0.003995, N = 7SE +/- 0.040927, N = 150.3838550.4410121.763550MIN: 0.32MIN: 0.4MIN: 0.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv12040608010046.0652.92105.811. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 0.35 / Avg: 0.38 / Max: 0.47Min: 0.43 / Avg: 0.44 / Max: 0.46Min: 1.48 / Avg: 1.76 / Max: 21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810SE +/- 0.005232, N = 3SE +/- 0.000573, N = 3SE +/- 1.542437, N = 150.5752380.5819818.867520MIN: 2.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv112024036048060069.0369.84532.051. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv13691215Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 5.77 / Avg: 8.87 / Max: 20.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv13691215SE +/- 0.09389, N = 3SE +/- 0.11811, N = 6SE +/- 0.06125, N = 39.5044512.105107.91569MIN: 4.19MIN: 5.8MIN: 5.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1300600900120015001140.531452.61474.941. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv148121620Min: 9.33 / Avg: 9.5 / Max: 9.66Min: 11.71 / Avg: 12.11 / Max: 12.52Min: 7.81 / Avg: 7.92 / Max: 8.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.88671.77342.66013.54684.4335SE +/- 0.00509, N = 3SE +/- 0.01470, N = 3SE +/- 0.00862, N = 31.581821.595573.94077MIN: 1.49MIN: 1.5MIN: 3.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv150100150200250189.82191.47236.451. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 1.57 / Avg: 1.58 / Max: 1.59Min: 1.57 / Avg: 1.6 / Max: 1.62Min: 3.92 / Avg: 3.94 / Max: 3.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.54131.08261.62392.16522.7065SE +/- 0.004961, N = 3SE +/- 0.030825, N = 15SE +/- 0.045752, N = 120.4066861.0319422.405610MIN: 0.35MIN: 0.83MIN: 1.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv130609012015048.80123.83144.341. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 0.4 / Avg: 0.41 / Max: 0.41Min: 0.92 / Avg: 1.03 / Max: 1.21Min: 2.17 / Avg: 2.41 / Max: 2.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.61561.23121.84682.46243.078SE +/- 0.002442, N = 3SE +/- 0.002363, N = 3SE +/- 0.005596, N = 30.4556820.7321302.736210MIN: 0.38MIN: 0.65MIN: 2.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1408012016020054.6887.86164.171. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 0.45 / Avg: 0.46 / Max: 0.46Min: 0.73 / Avg: 0.73 / Max: 0.74Min: 2.73 / Avg: 2.74 / Max: 2.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv112002400360048006000SE +/- 25.25, N = 12SE +/- 16.54, N = 15SE +/- 83.42, N = 13875.171314.005524.50MIN: 727.38MIN: 1140.59MIN: 4658.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv170K140K210K280K350K105019.92157680.00331470.001. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv110002000300040005000Min: 755.33 / Avg: 875.17 / Max: 1009.77Min: 1182.01 / Avg: 1314 / Max: 1419.56Min: 4695.81 / Avg: 5524.5 / Max: 5809.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv17001400210028003500SE +/- 8.62, N = 15SE +/- 8.13, N = 3SE +/- 113.65, N = 12530.90778.313344.14MIN: 458.96MIN: 738.78MIN: 2662.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv140K80K120K160K200K63707.7693396.60200648.401. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv16001200180024003000Min: 476.45 / Avg: 530.9 / Max: 573.73Min: 765.12 / Avg: 778.31 / Max: 793.12Min: 2696.37 / Avg: 3344.14 / Max: 3791.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv112002400360048006000SE +/- 102.39, N = 14SE +/- 13.52, N = 15SE +/- 103.35, N = 12962.341287.035539.48MIN: 722.13MIN: 1149.25MIN: 4475.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv170K140K210K280K350K115480.32154443.60332368.801. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv110002000300040005000Min: 741.04 / Avg: 962.34 / Max: 2245.6Min: 1207.12 / Avg: 1287.03 / Max: 1368.08Min: 4586.46 / Avg: 5539.48 / Max: 5795.861. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv17001400210028003500SE +/- 8.80, N = 15SE +/- 5.73, N = 15SE +/- 110.58, N = 12561.77791.463373.88MIN: 471.83MIN: 718.74MIN: 2418.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv140K80K120K160K200K67412.7694975.20202432.801. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv16001200180024003000Min: 490.11 / Avg: 561.77 / Max: 612.81Min: 746 / Avg: 791.46 / Max: 823.74Min: 2468.9 / Avg: 3373.88 / Max: 3730.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.34040.68081.02121.36161.702SE +/- 0.000278, N = 3SE +/- 0.006544, N = 12SE +/- 0.088179, N = 150.2555010.3503471.512710MIN: 0.22MIN: 0.3MIN: 0.571. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv12040608010030.6642.0490.761. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.33 / Avg: 0.35 / Max: 0.4Min: 1.1 / Avg: 1.51 / Max: 2.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAzure HBv3Azure HBv2Azure HBv111002200330044005500SE +/- 14.29, N = 15SE +/- 11.10, N = 15SE +/- 122.64, N = 15843.101294.535355.24MIN: 711.66MIN: 1179.19MIN: 4475.571. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAzure HBv3Azure HBv2Azure HBv170K140K210K280K350K101172.36155343.60321314.401. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAzure HBv3Azure HBv2Azure HBv19001800270036004500Min: 743.86 / Avg: 843.1 / Max: 928.84Min: 1239.94 / Avg: 1294.53 / Max: 1401.9Min: 4515.02 / Avg: 5355.24 / Max: 5891.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAzure HBv3Azure HBv2Azure HBv17001400210028003500SE +/- 8.06, N = 15SE +/- 6.35, N = 15SE +/- 87.86, N = 15540.19796.823423.15MIN: 462.7MIN: 726.18MIN: 2651.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAzure HBv3Azure HBv2Azure HBv140K80K120K160K200K64823.2895617.92205389.001. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAzure HBv3Azure HBv2Azure HBv16001200180024003000Min: 480.13 / Avg: 540.19 / Max: 601.19Min: 756.99 / Avg: 796.82 / Max: 825.98Min: 2754.22 / Avg: 3423.15 / Max: 3715.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv10.25980.51960.77941.03921.299SE +/- 0.004912, N = 4SE +/- 0.004967, N = 3SE +/- 0.003421, N = 30.4452230.5247371.154650MIN: 0.39MIN: 0.48MIN: 1.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.1.2Performance Per Core - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1153045607553.4362.9769.281. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAzure HBv3Azure HBv2Azure HBv1246810Min: 0.43 / Avg: 0.45 / Max: 0.45Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 1.15 / Avg: 1.15 / Max: 1.161. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -O2 -pie -lpthread -ldl

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPAzure HBv3Azure HBv2Azure HBv120K40K60K80K100KSE +/- 228.72, N = 3SE +/- 166.77, N = 3SE +/- 324.87, N = 359196.5575154.26108606.501. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms x Core, Fewer Is BetterFinanceBench 2016-07-25Performance Per Core - Benchmark: Repo OpenMPAzure HBv3Azure HBv2Azure HBv12M4M6M8M10M7103585.639018510.946516390.161. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPAzure HBv3Azure HBv2Azure HBv120K40K60K80K100KMin: 58815.6 / Avg: 59196.55 / Max: 59606.33Min: 74919.02 / Avg: 75154.26 / Max: 75476.66Min: 107956.81 / Avg: 108606.5 / Max: 108937.861. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPAzure HBv3Azure HBv2Azure HBv140K80K120K160K200KSE +/- 454.05, N = 3SE +/- 476.22, N = 3SE +/- 1191.05, N = 3104884.29133719.33195702.801. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms x Core, Fewer Is BetterFinanceBench 2016-07-25Performance Per Core - Benchmark: Bonds OpenMPAzure HBv3Azure HBv2Azure HBv13M6M9M12M15M12586115.3116046319.3811742167.811. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPAzure HBv3Azure HBv2Azure HBv130K60K90K120K150KMin: 104078.39 / Avg: 104884.29 / Max: 105649.7Min: 132784.52 / Avg: 133719.33 / Max: 134344.66Min: 194234.83 / Avg: 195702.8 / Max: 198061.471. (CXX) g++ options: -O3 -march=native -fopenmp

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 2020.3Water BenchmarkAzure HBv3Azure HBv2Azure HBv13691215SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.025, N = 159.0418.4583.2881. (CXX) g++ options: -O2 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day Per Core, More Is BetterGROMACS 2020.3Performance Per Core - Water BenchmarkAzure HBv3Azure HBv2Azure HBv10.01690.03380.05070.06760.08450.07530.07050.05481. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAzure HBv3Azure HBv2Azure HBv13691215Min: 9.03 / Avg: 9.04 / Max: 9.06Min: 8.45 / Avg: 8.46 / Max: 8.48Min: 3.16 / Avg: 3.29 / Max: 3.561. (CXX) g++ options: -O2 -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: SqueezeNetAzure HBv3Azure HBv2Azure HBv120K40K60K80K100KSE +/- 2854.14, N = 15SE +/- 1151.94, N = 15SE +/- 1151.23, N = 1566320.474885.495206.2
OpenBenchmarking.orgMicroseconds x Core, Fewer Is BetterTensorFlow Lite 2020-08-23Performance Per Core - Model: SqueezeNetAzure HBv3Azure HBv2Azure HBv12M4M6M8M10M7958448898624857123721. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetAzure HBv3Azure HBv2Azure HBv117K34K51K68K85KMin: 48475.2 / Avg: 66320.38 / Max: 78669Min: 69961.9 / Avg: 74885.4 / Max: 83330.7Min: 89835.2 / Avg: 95206.24 / Max: 105138

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 1.1.3Model: SqueezeNetV1.0Azure HBv3Azure HBv2Azure HBv148121620SE +/- 0.113, N = 15SE +/- 0.657, N = 12SE +/- 0.162, N = 128.22414.13617.194MIN: 5.66 / MAX: 54.17MIN: 10.98 / MAX: 78.48MIN: 15.74 / MAX: 54.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetterMobile Neural Network 1.1.3Performance Per Core - Model: SqueezeNetV1.0Azure HBv3Azure HBv2Azure HBv1400800120016002000986.881696.321031.641. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.0Azure HBv3Azure HBv2Azure HBv148121620Min: 7.01 / Avg: 8.22 / Max: 8.85Min: 11.71 / Avg: 14.14 / Max: 19.71Min: 16.2 / Avg: 17.19 / Max: 18.031. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50Azure HBv3Azure HBv2Azure HBv11428425670SE +/- 0.25, N = 15SE +/- 1.18, N = 12SE +/- 1.07, N = 1229.0952.5362.45MIN: 25.79 / MAX: 252.29MIN: 41.27 / MAX: 326.88MIN: 54.15 / MAX: 188.441. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetterMobile Neural Network 1.1.3Performance Per Core - Model: resnet-v2-50Azure HBv3Azure HBv2Azure HBv1140028004200560070003490.326303.963746.761. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50Azure HBv3Azure HBv2Azure HBv11224364860Min: 27.82 / Avg: 29.09 / Max: 31.32Min: 44.92 / Avg: 52.53 / Max: 56.92Min: 55.26 / Avg: 62.45 / Max: 68.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_224Azure HBv3Azure HBv2Azure HBv13691215SE +/- 0.085, N = 15SE +/- 0.587, N = 12SE +/- 0.342, N = 124.78212.5279.802MIN: 3.71 / MAX: 61.38MIN: 7.24 / MAX: 67.34MIN: 8.22 / MAX: 64.561. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetterMobile Neural Network 1.1.3Performance Per Core - Model: MobileNetV2_224Azure HBv3Azure HBv2Azure HBv130060090012001500573.841503.24588.121. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_224Azure HBv3Azure HBv2Azure HBv148121620Min: 4.33 / Avg: 4.78 / Max: 5.5Min: 10.07 / Avg: 12.53 / Max: 16.1Min: 8.72 / Avg: 9.8 / Max: 131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.0Azure HBv3Azure HBv2Azure HBv1246810SE +/- 0.151, N = 15SE +/- 0.500, N = 12SE +/- 0.169, N = 123.9508.0306.224MIN: 2.55 / MAX: 5.41MIN: 4.5 / MAX: 15.23MIN: 5.42 / MAX: 7.731. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetterMobile Neural Network 1.1.3Performance Per Core - Model: mobilenet-v1-1.0Azure HBv3Azure HBv2Azure HBv12004006008001000474.00963.60373.441. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.0Azure HBv3Azure HBv2Azure HBv13691215Min: 3.02 / Avg: 3.95 / Max: 4.71Min: 6.88 / Avg: 8.03 / Max: 13.38Min: 5.49 / Avg: 6.22 / Max: 7.611. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3Azure HBv3Azure HBv2Azure HBv120406080100SE +/- 0.24, N = 15SE +/- 0.95, N = 12SE +/- 0.96, N = 1234.7155.3676.80MIN: 31.09 / MAX: 427.77MIN: 47.56 / MAX: 509.74MIN: 69.85 / MAX: 676.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetterMobile Neural Network 1.1.3Performance Per Core - Model: inception-v3Azure HBv3Azure HBv2Azure HBv1140028004200560070004165.206642.724607.941. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3Azure HBv3Azure HBv2Azure HBv11530456075Min: 33.47 / Avg: 34.71 / Max: 36.67Min: 50 / Avg: 55.36 / Max: 62.27Min: 71.21 / Avg: 76.8 / Max: 81.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetAzure HBv3Azure HBv2Azure HBv11224364860SE +/- 1.74, N = 9SE +/- 2.25, N = 12SE +/- 0.62, N = 1227.8752.5643.12MIN: 21.41 / MAX: 63.52MIN: 40.97 / MAX: 511.3MIN: 38.84 / MAX: 619.91. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20201218Performance Per Core - Target: CPU - Model: mobilenetAzure HBv3Azure HBv2Azure HBv1140028004200560070003344.46307.22587.21. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetAzure HBv3Azure HBv2Azure HBv11122334455Min: 22.17 / Avg: 27.87 / Max: 38.48Min: 44.28 / Avg: 52.56 / Max: 66.78Min: 39.87 / Avg: 43.12 / Max: 47.381. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Azure HBv3Azure HBv2Azure HBv1918273645SE +/- 3.10, N = 9SE +/- 2.17, N = 12SE +/- 0.59, N = 1223.2437.2018.50MIN: 10.66 / MAX: 3825.91MIN: 13.35 / MAX: 4343.96MIN: 15.79 / MAX: 651.781. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20201218Performance Per Core - Target: CPU-v2-v2 - Model: mobilenet-v2Azure HBv3Azure HBv2Azure HBv1100020003000400050002788.84464.01110.01. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Azure HBv3Azure HBv2Azure HBv1816243240Min: 12.73 / Avg: 23.24 / Max: 37.48Min: 25.01 / Avg: 37.2 / Max: 52.55Min: 16.48 / Avg: 18.5 / Max: 23.341. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Azure HBv3Azure HBv2Azure HBv1510152025SE +/- 0.83, N = 9SE +/- 1.32, N = 12SE +/- 0.31, N = 1213.7121.3919.26MIN: 9.5 / MAX: 286.31MIN: 14.34 / MAX: 1188.39MIN: 17.23 / MAX: 231.691. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20201218Performance Per Core - Target: CPU - Model: shufflenet-v2Azure HBv3Azure HBv2Azure HBv160012001800240030001645.22566.81155.61. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Azure HBv3Azure HBv2Azure HBv1510152025Min: 10 / Avg: 13.71 / Max: 17.91Min: 15.42 / Avg: 21.39 / Max: 31.92Min: 17.54 / Avg: 19.26 / Max: 21.871. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Azure HBv3Azure HBv2Azure HBv1816243240SE +/- 3.62, N = 9SE +/- 1.94, N = 12SE +/- 0.35, N = 1221.0432.4223.17MIN: 12.75 / MAX: 4928.42MIN: 20.32 / MAX: 786.11MIN: 20.64 / MAX: 707.721. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20201218Performance Per Core - Target: CPU - Model: efficientnet-b0Azure HBv3Azure HBv2Azure HBv180016002400320040002524.83890.41390.21. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Azure HBv3Azure HBv2Azure HBv1714212835Min: 13.44 / Avg: 21.04 / Max: 49.11Min: 25.07 / Avg: 32.42 / Max: 46.08Min: 21.22 / Avg: 23.17 / Max: 25.241. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Azure HBv3Azure HBv2Azure HBv1306090120150SE +/- 2.09, N = 9SE +/- 6.58, N = 12SE +/- 5.55, N = 1247.67133.78147.88MIN: 40.11 / MAX: 1444.13MIN: 82.15 / MAX: 2364.48MIN: 71.72 / MAX: 1164.251. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20201218Performance Per Core - Target: CPU - Model: vgg16Azure HBv3Azure HBv2Azure HBv13K6K9K12K15K5720.416053.68872.81. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Azure HBv3Azure HBv2Azure HBv1306090120150Min: 41.22 / Avg: 47.67 / Max: 61.33Min: 102.77 / Avg: 133.78 / Max: 180.34Min: 117.2 / Avg: 147.88 / Max: 175.431. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetAzure HBv3Azure HBv2Azure HBv1612182430SE +/- 0.57, N = 9SE +/- 0.21, N = 12SE +/- 0.38, N = 126.8910.8026.88MIN: 5.85 / MAX: 759.55MIN: 9.2 / MAX: 35.44MIN: 24.39 / MAX: 41.821. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetterNCNN 20201218Performance Per Core - Target: CPU - Model: alexnetAzure HBv3Azure HBv2Azure HBv130060090012001500826.81296.01612.81. Azure HBv3: Detected core count of 1202. Azure HBv2: Detected core count of 1203. Azure HBv1: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetAzure HBv3Azure HBv2Azure HBv1612182430Min: 5.94 / Avg: 6.89 / Max: 11.35Min: 9.91 / Avg: 10.8 / Max: 11.94Min: 25.09 / Avg: 26.88 / Max: 29.011. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50