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 2021
  11 Hours, 37 Minutes
Azure HBv2
April 10 2021
  14 Hours, 14 Minutes
Azure HBv1
April 11 2021
  21 Hours, 14 Minutes
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  15 Hours, 41 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 SuiteoneDNNSVT-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 HBv1Azure HBv2Azure HBv35001000150020002500SE +/- 1.79, N = 3SE +/- 0.77, N = 3SE +/- 4.80, N = 31251.71725.22299.31. (CXX) g++ options: -O3 -march=native -O2 -rdynamic -lboost_timer -lboost_system -lboost_chrono
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Azure HBv1Azure HBv2Azure HBv3400800120016002000Min: 1249 / Avg: 1251.73 / Max: 1255.1Min: 1724.1 / Avg: 1725.23 / Max: 1726.7Min: 2290.1 / Avg: 2299.27 / Max: 2306.31. (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 HBv1Azure HBv2Azure HBv3918273645SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 330.4337.2739.061. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Azure HBv1Azure HBv2Azure HBv3816243240Min: 30.1 / Avg: 30.43 / Max: 30.68Min: 37.16 / Avg: 37.27 / Max: 37.36Min: 38.95 / Avg: 39.06 / Max: 39.141. (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 HBv1Azure HBv2Azure HBv312K24K36K48K60KSE +/- 114.01, N = 3SE +/- 21.24, N = 3SE +/- 428.57, N = 1425304.1953829.3456682.821. (F9X) gfortran options: -O3 -march=native -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAzure HBv1Azure HBv2Azure HBv310K20K30K40K50KMin: 25096.86 / Avg: 25304.19 / Max: 25490.03Min: 53787.12 / Avg: 53829.34 / Max: 53854.58Min: 51213.56 / Avg: 56682.82 / Max: 57398.811. (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 HBv1Azure HBv2Azure HBv33K6K9K12K15KSE +/- 486.67, N = 15SE +/- 608.74, N = 12SE +/- 387.39, N = 1511999.5713165.0913785.301. (CXX) g++ options: -O3 -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAzure HBv1Azure HBv2Azure HBv32K4K6K8K10KMin: 8786.85 / Avg: 11999.57 / Max: 15036.5Min: 8616.53 / Avg: 13165.09 / Max: 15973.2Min: 11739.8 / Avg: 13785.25 / Max: 17284.41. (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 HBv1Azure HBv2Azure HBv3612182430SE +/- 0.11, N = 3SE +/- 0.45, N = 12SE +/- 0.83, N = 1525.0023.7816.661. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAzure HBv1Azure HBv2Azure HBv3612182430Min: 24.85 / Avg: 25 / Max: 25.21Min: 21.27 / Avg: 23.78 / Max: 26.48Min: 13.14 / Avg: 16.66 / Max: 24.431. (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 HBv1Azure HBv2Azure HBv320406080100SE +/- 0.39, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 390.1839.2037.801. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDAzure HBv1Azure HBv2Azure HBv320406080100Min: 89.43 / Avg: 90.18 / Max: 90.73Min: 38.79 / Avg: 39.2 / Max: 39.41Min: 37.37 / Avg: 37.8 / Max: 38.121. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DAzure HBv1Azure HBv2Azure HBv3306090120150SE +/- 1.35, N = 3SE +/- 0.89, N = 3SE +/- 1.18, N = 15145.57107.9882.491. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DAzure HBv1Azure HBv2Azure HBv3306090120150Min: 142.93 / Avg: 145.57 / Max: 147.39Min: 106.46 / Avg: 107.98 / Max: 109.52Min: 77.17 / Avg: 82.49 / Max: 91.091. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteAzure HBv1Azure HBv2Azure HBv31530456075SE +/- 0.11, N = 3SE +/- 0.57, N = 3SE +/- 0.43, N = 867.3057.0449.351. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteAzure HBv1Azure HBv2Azure HBv31326395265Min: 67.08 / Avg: 67.3 / Max: 67.47Min: 56.01 / Avg: 57.04 / Max: 57.97Min: 47.97 / Avg: 49.35 / Max: 52.041. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverAzure HBv1Azure HBv2Azure HBv33691215SE +/- 0.361, N = 12SE +/- 0.748, N = 12SE +/- 0.801, N = 1212.94013.0428.4601. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverAzure HBv1Azure HBv2Azure HBv348121620Min: 11.2 / Avg: 12.94 / Max: 15.44Min: 10.79 / Avg: 13.04 / Max: 19.76Min: 6.63 / Avg: 8.46 / Max: 15.471. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterAzure HBv1Azure HBv2Azure HBv31020304050SE +/- 3.656, N = 15SE +/- 0.453, N = 15SE +/- 0.196, N = 1544.06512.9127.3791. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterAzure HBv1Azure HBv2Azure HBv3918273645Min: 19.2 / Avg: 44.07 / Max: 61.65Min: 10.48 / Avg: 12.91 / Max: 15.91Min: 6.73 / Avg: 7.38 / Max: 8.971. (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 HBv1Azure HBv2Azure HBv30.15960.31920.47880.63840.798SE +/- 0.00507, N = 3SE +/- 0.00059, N = 3SE +/- 0.00027, N = 30.709470.300560.27566
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsAzure HBv1Azure HBv2Azure HBv3246810Min: 0.7 / Avg: 0.71 / Max: 0.72Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 0.28 / Avg: 0.28 / Max: 0.28

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 HBv1Azure HBv2Azure HBv348121620SE +/- 0.085157, N = 3SE +/- 0.012548, N = 3SE +/- 0.003905, N = 315.5289906.0264495.8334191. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAzure HBv1Azure HBv2Azure HBv348121620Min: 15.38 / Avg: 15.53 / Max: 15.68Min: 6 / Avg: 6.03 / Max: 6.05Min: 5.83 / Avg: 5.83 / Max: 5.841. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAzure HBv1Azure HBv2Azure HBv33691215SE +/- 0.027196, N = 3SE +/- 0.009939, N = 3SE +/- 0.017738, N = 310.3376403.4865033.3372011. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAzure HBv1Azure HBv2Azure HBv33691215Min: 10.3 / Avg: 10.34 / Max: 10.39Min: 3.47 / Avg: 3.49 / Max: 3.51Min: 3.3 / Avg: 3.34 / Max: 3.361. (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 HBv1Azure HBv2Azure HBv350100150200250SE +/- 0.42, N = 3SE +/- 1.08, N = 3SE +/- 1.00, N = 3209.39207.87175.241. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchAzure HBv1Azure HBv2Azure HBv34080120160200Min: 208.74 / Avg: 209.39 / Max: 210.18Min: 205.71 / Avg: 207.87 / Max: 209.04Min: 173.26 / Avg: 175.24 / Max: 176.521. (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 HBv1Azure HBv2Azure HBv3100200300400500SE +/- 2.96, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3455.81318.91287.601. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dAzure HBv1Azure HBv2Azure HBv380160240320400Min: 449.89 / Avg: 455.81 / Max: 458.88Min: 318.81 / Avg: 318.91 / Max: 319.04Min: 287.31 / Avg: 287.6 / Max: 287.891. (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 HBv1Azure HBv2Azure HBv3510152025SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 1522.0716.0614.331. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAAzure HBv1Azure HBv2Azure HBv3510152025Min: 21.8 / Avg: 22.07 / Max: 22.54Min: 16 / Avg: 16.06 / Max: 16.19Min: 13.68 / Avg: 14.33 / Max: 15.051. (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 HBv1Azure HBv2Azure HBv39K18K27K36K45KSE +/- 81.47, N = 3SE +/- 44.77, N = 3SE +/- 476.10, N = 319011.4634803.5441636.601. (CXX) g++ options: -O3 -fopenmp -lm -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Azure HBv1Azure HBv2Azure HBv37K14K21K28K35KMin: 18850.32 / Avg: 19011.46 / Max: 19112.96Min: 34743.07 / Avg: 34803.54 / Max: 34890.96Min: 40950.33 / Avg: 41636.6 / Max: 42551.381. (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 HBv1Azure HBv2Azure HBv3100020003000400050003021.34155.54893.41. (CC) gcc options: -O3 -fomit-frame-pointer -lm

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 HBv1Azure HBv2Azure HBv37001400210028003500SE +/- 6.06, N = 3SE +/- 33.03, N = 15SE +/- 45.10, N = 3920.12653.13184.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8 - Compression SpeedAzure HBv1Azure HBv2Azure HBv36001200180024003000Min: 911.5 / Avg: 920.1 / Max: 931.8Min: 2446.8 / Avg: 2653.14 / Max: 2850.1Min: 3127 / Avg: 3184.2 / Max: 3273.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Compression SpeedAzure HBv1Azure HBv2Azure HBv320406080100SE +/- 0.83, N = 15SE +/- 1.18, N = 15SE +/- 0.71, N = 1548.569.578.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Compression SpeedAzure HBv1Azure HBv2Azure HBv31530456075Min: 41.8 / Avg: 48.53 / Max: 53.4Min: 61.4 / Avg: 69.51 / Max: 77.6Min: 72.9 / Avg: 78.15 / Max: 83.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Decompression SpeedAzure HBv1Azure HBv2Azure HBv38001600240032004000SE +/- 0.66, N = 15SE +/- 1.17, N = 15SE +/- 6.14, N = 152005.42631.03717.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Decompression SpeedAzure HBv1Azure HBv2Azure HBv36001200180024003000Min: 2002 / Avg: 2005.4 / Max: 2009.2Min: 2621.5 / Avg: 2631.01 / Max: 2637.8Min: 3679.6 / Avg: 3717.45 / Max: 37521. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Compression SpeedAzure HBv1Azure HBv2Azure HBv3170340510680850SE +/- 3.02, N = 15SE +/- 0.81, N = 3SE +/- 6.99, N = 7468.8588.0771.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Compression SpeedAzure HBv1Azure HBv2Azure HBv3140280420560700Min: 450.5 / Avg: 468.85 / Max: 490.8Min: 586.7 / Avg: 588 / Max: 589.5Min: 748.6 / Avg: 771.91 / Max: 801.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Decompression SpeedAzure HBv1Azure HBv2Azure HBv39001800270036004500SE +/- 1.19, N = 15SE +/- 4.57, N = 3SE +/- 4.89, N = 72339.63037.54256.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Decompression SpeedAzure HBv1Azure HBv2Azure HBv37001400210028003500Min: 2328.6 / Avg: 2339.59 / Max: 2344.6Min: 3028.9 / Avg: 3037.5 / Max: 3044.5Min: 4238.7 / Avg: 4256.83 / Max: 4275.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Compression SpeedAzure HBv1Azure HBv2Azure HBv3816243240SE +/- 0.69, N = 12SE +/- 0.38, N = 15SE +/- 0.34, N = 1525.133.436.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Compression SpeedAzure HBv1Azure HBv2Azure HBv3816243240Min: 22 / Avg: 25.08 / Max: 29.2Min: 31.2 / Avg: 33.42 / Max: 35.5Min: 34 / Avg: 36.33 / Max: 38.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Decompression SpeedAzure HBv1Azure HBv2Azure HBv38001600240032004000SE +/- 0.32, N = 12SE +/- 2.70, N = 15SE +/- 12.70, N = 152019.32674.23727.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Decompression SpeedAzure HBv1Azure HBv2Azure HBv36001200180024003000Min: 2017.1 / Avg: 2019.28 / Max: 2020.7Min: 2640.1 / Avg: 2674.21 / Max: 2684.6Min: 3565.1 / Avg: 3727.52 / Max: 3764.51. (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 HBv1Azure HBv2Azure HBv320406080100SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 357.9573.1887.481. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMIAzure HBv1Azure HBv2Azure HBv320406080100Min: 57.95 / Avg: 57.95 / Max: 57.95Min: 73.08 / Avg: 73.18 / Max: 73.31Min: 87.41 / Avg: 87.48 / Max: 87.531. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - DecryptAzure HBv1Azure HBv2Azure HBv320406080100SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 355.9871.1084.061. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - DecryptAzure HBv1Azure HBv2Azure HBv31632486480Min: 55.97 / Avg: 55.98 / Max: 55.99Min: 71.04 / Avg: 71.1 / Max: 71.18Min: 84.03 / Avg: 84.06 / Max: 84.081. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256Azure HBv1Azure HBv2Azure HBv312002400360048006000SE +/- 16.79, N = 3SE +/- 2.68, N = 3SE +/- 3.73, N = 33144.313934.405412.131. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256Azure HBv1Azure HBv2Azure HBv39001800270036004500Min: 3110.74 / Avg: 3144.31 / Max: 3161.45Min: 3929.32 / Avg: 3934.4 / Max: 3938.41Min: 5405.03 / Avg: 5412.13 / Max: 5417.661. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - DecryptAzure HBv1Azure HBv2Azure HBv312002400360048006000SE +/- 1.16, N = 3SE +/- 3.26, N = 3SE +/- 7.85, N = 33151.233938.445407.481. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - DecryptAzure HBv1Azure HBv2Azure HBv39001800270036004500Min: 3149.12 / Avg: 3151.23 / Max: 3153.12Min: 3931.93 / Avg: 3938.44 / Max: 3941.77Min: 5393.16 / Avg: 5407.48 / Max: 5420.231. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: TwofishAzure HBv1Azure HBv2Azure HBv380160240320400SE +/- 2.54, N = 4SE +/- 0.15, N = 3SE +/- 1.10, N = 3217.31280.90346.321. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: TwofishAzure HBv1Azure HBv2Azure HBv360120180240300Min: 209.7 / Avg: 217.31 / Max: 220.28Min: 280.75 / Avg: 280.9 / Max: 281.2Min: 344.13 / Avg: 346.32 / Max: 347.561. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - DecryptAzure HBv1Azure HBv2Azure HBv380160240320400SE +/- 2.43, N = 4SE +/- 0.22, N = 3SE +/- 0.77, N = 3218.03283.26345.781. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - DecryptAzure HBv1Azure HBv2Azure HBv360120180240300Min: 210.76 / Avg: 218.03 / Max: 220.81Min: 282.85 / Avg: 283.26 / Max: 283.6Min: 344.23 / Avg: 345.78 / Max: 346.561. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: BlowfishAzure HBv1Azure HBv2Azure HBv390180270360450SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 0.47, N = 3273.04348.43424.741. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: BlowfishAzure HBv1Azure HBv2Azure HBv380160240320400Min: 272.87 / Avg: 273.04 / Max: 273.21Min: 347.64 / Avg: 348.43 / Max: 349.09Min: 423.81 / Avg: 424.74 / Max: 425.221. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - DecryptAzure HBv1Azure HBv2Azure HBv390180270360450SE +/- 0.08, N = 3SE +/- 0.56, N = 3SE +/- 0.42, N = 3272.73349.15425.161. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - DecryptAzure HBv1Azure HBv2Azure HBv380160240320400Min: 272.59 / Avg: 272.73 / Max: 272.85Min: 348.3 / Avg: 349.15 / Max: 350.2Min: 424.32 / Avg: 425.16 / Max: 425.591. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256Azure HBv1Azure HBv2Azure HBv3306090120150SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 388.55113.60133.691. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256Azure HBv1Azure HBv2Azure HBv3306090120150Min: 88.52 / Avg: 88.55 / Max: 88.57Min: 113.46 / Avg: 113.6 / Max: 113.69Min: 133.65 / Avg: 133.69 / Max: 133.741. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - DecryptAzure HBv1Azure HBv2Azure HBv3306090120150SE +/- 0.03, N = 2SE +/- 0.01, N = 3SE +/- 0.02, N = 388.56113.72133.671. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - DecryptAzure HBv1Azure HBv2Azure HBv3306090120150Min: 88.52 / Avg: 88.56 / Max: 88.59Min: 113.71 / Avg: 113.72 / Max: 113.73Min: 133.63 / Avg: 133.67 / Max: 133.691. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305Azure HBv1Azure HBv2Azure HBv3140280420560700SE +/- 1.39, N = 3SE +/- 0.90, N = 3SE +/- 0.27, N = 3303.24615.80667.771. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305Azure HBv1Azure HBv2Azure HBv3120240360480600Min: 300.93 / Avg: 303.24 / Max: 305.73Min: 614.01 / Avg: 615.79 / Max: 616.82Min: 667.33 / Avg: 667.77 / Max: 668.251. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - DecryptAzure HBv1Azure HBv2Azure HBv3140280420560700SE +/- 1.37, N = 3SE +/- 0.78, N = 3SE +/- 0.06, N = 3300.18610.86658.371. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - DecryptAzure HBv1Azure HBv2Azure HBv3120240360480600Min: 298.15 / Avg: 300.18 / Max: 302.8Min: 609.48 / Avg: 610.86 / Max: 612.17Min: 658.25 / Avg: 658.37 / Max: 658.441. (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 HBv1Azure HBv2Azure HBv30.03620.07240.10860.14480.181SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0760.1240.1611. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAzure HBv1Azure HBv2Azure HBv312345Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.16 / Avg: 0.16 / Max: 0.161. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAzure HBv1Azure HBv2Azure HBv33691215SE +/- 0.034, N = 11SE +/- 0.218, N = 15SE +/- 0.031, N = 34.6699.51212.2751. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAzure HBv1Azure HBv2Azure HBv348121620Min: 4.52 / Avg: 4.67 / Max: 4.94Min: 7.69 / Avg: 9.51 / Max: 10.39Min: 12.22 / Avg: 12.28 / Max: 12.321. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAzure HBv1Azure HBv2Azure HBv320406080100SE +/- 0.54, N = 12SE +/- 0.65, N = 3SE +/- 0.34, N = 340.1578.1094.031. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAzure HBv1Azure HBv2Azure HBv320406080100Min: 36.81 / Avg: 40.15 / Max: 44.64Min: 76.81 / Avg: 78.1 / Max: 78.78Min: 93.43 / Avg: 94.03 / Max: 94.591. (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 HBv1Azure HBv2Azure HBv31020304050SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.60, N = 321.1236.1245.391. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pAzure HBv1Azure HBv2Azure HBv3918273645Min: 20.89 / Avg: 21.12 / Max: 21.27Min: 35.86 / Avg: 36.12 / Max: 36.3Min: 44.65 / Avg: 45.39 / Max: 46.571. (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 HBv1Azure HBv2Azure HBv380160240320400SE +/- 1.15, N = 3SE +/- 6.53, N = 12SE +/- 4.22, N = 3119.20166.90378.011. (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 HBv1Azure HBv2Azure HBv370140210280350Min: 117.12 / Avg: 119.2 / Max: 121.09Min: 129.12 / Avg: 166.9 / Max: 202.77Min: 369.69 / Avg: 378.01 / Max: 383.391. (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 HBv1Azure HBv2Azure HBv3120240360480600SE +/- 2.68, N = 15SE +/- 21.86, N = 15SE +/- 7.76, N = 3141.93379.91548.331. (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 HBv1Azure HBv2Azure HBv3100200300400500Min: 130.01 / Avg: 141.93 / Max: 170.99Min: 151.29 / Avg: 379.91 / Max: 460.12Min: 532.86 / Avg: 548.33 / Max: 557.11. (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 HBv1Azure HBv2Azure HBv380160240320400SE +/- 5.97, N = 12SE +/- 5.31, N = 15SE +/- 23.14, N = 12132.23140.30357.061. (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: VMAF Optimized - Input: Bosphorus 1080pAzure HBv1Azure HBv2Azure HBv360120180240300Min: 67.98 / Avg: 132.23 / Max: 147.6Min: 97.49 / Avg: 140.3 / Max: 193.3Min: 106.25 / Avg: 357.06 / Max: 406.731. (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 HBv1Azure HBv2Azure HBv380160240320400SE +/- 0.73, N = 3SE +/- 9.44, N = 12SE +/- 5.29, N = 15141.53163.51376.911. (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 HBv1Azure HBv2Azure HBv370140210280350Min: 140.57 / Avg: 141.53 / Max: 142.96Min: 140.75 / Avg: 163.51 / Max: 260.45Min: 356.6 / Avg: 376.91 / Max: 425.741. (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 HBv1Azure HBv2Azure HBv370140210280350SE +/- 1.10, N = 8SE +/- 0.20, N = 3SE +/- 4.36, N = 3129.44140.59337.711. (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 HBv1Azure HBv2Azure HBv360120180240300Min: 125.4 / Avg: 129.44 / Max: 134.34Min: 140.32 / Avg: 140.59 / Max: 140.98Min: 329.01 / Avg: 337.71 / Max: 342.571. (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 HBv1Azure HBv2Azure HBv31326395265SE +/- 0.45, N = 13SE +/- 0.58, N = 13SE +/- 0.58, N = 1558.7444.9242.01
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileAzure HBv1Azure HBv2Azure HBv31224364860Min: 58.06 / Avg: 58.74 / Max: 64.17Min: 43.11 / Avg: 44.92 / Max: 50.84Min: 39.43 / Avg: 42.01 / Max: 49.12

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 HBv1Azure HBv2Azure HBv360120180240300SE +/- 3.41, N = 4SE +/- 1.99, N = 3SE +/- 1.89, N = 3283.29174.74163.76
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAzure HBv1Azure HBv2Azure HBv350100150200250Min: 276.76 / Avg: 283.29 / Max: 292.78Min: 172.31 / Avg: 174.74 / Max: 178.69Min: 160.99 / Avg: 163.76 / Max: 167.37

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 HBv1Azure HBv2Azure HBv34080120160200SE +/- 0.16, N = 3SE +/- 0.83, N = 3SE +/- 1.09, N = 3194.55118.97111.33
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileAzure HBv1Azure HBv2Azure HBv34080120160200Min: 194.23 / Avg: 194.55 / Max: 194.72Min: 118.09 / Avg: 118.97 / Max: 120.62Min: 110.23 / Avg: 111.33 / Max: 113.5

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 HBv1Azure HBv2Azure HBv30.42260.84521.26781.69042.113SE +/- 0.021017, N = 3SE +/- 0.011740, N = 15SE +/- 0.012358, N = 31.8783401.1248400.881307MIN: 1.75MIN: 1.01MIN: 0.761. (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 1D - Data Type: f32 - Engine: CPUAzure HBv1Azure HBv2Azure HBv3246810Min: 1.84 / Avg: 1.88 / Max: 1.9Min: 1.07 / Avg: 1.12 / Max: 1.23Min: 0.86 / Avg: 0.88 / Max: 0.91. (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 HBv1Azure HBv2Azure HBv33691215SE +/- 0.43651, N = 15SE +/- 0.28898, N = 15SE +/- 0.02162, N = 310.222639.683213.21204MIN: 4.1MIN: 5.56MIN: 2.581. (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 HBv1Azure HBv2Azure HBv33691215Min: 9.15 / Avg: 10.22 / Max: 14.07Min: 9.08 / Avg: 9.68 / Max: 12.42Min: 3.17 / Avg: 3.21 / Max: 3.251. (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 HBv1Azure HBv2Azure HBv30.39680.79361.19041.58721.984SE +/- 0.040927, N = 15SE +/- 0.003995, N = 7SE +/- 0.009558, N = 121.7635500.4410120.383855MIN: 0.89MIN: 0.4MIN: 0.321. (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 HBv1Azure HBv2Azure HBv3246810Min: 1.48 / Avg: 1.76 / Max: 2Min: 0.43 / Avg: 0.44 / Max: 0.46Min: 0.35 / Avg: 0.38 / Max: 0.471. (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 HBv1Azure HBv2Azure HBv3246810SE +/- 1.542437, N = 15SE +/- 0.000573, N = 3SE +/- 0.005232, N = 38.8675200.5819810.575238MIN: 2.451. (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 HBv1Azure HBv2Azure HBv33691215Min: 5.77 / Avg: 8.87 / Max: 20.6Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.57 / Avg: 0.58 / Max: 0.591. (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: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAzure HBv1Azure HBv2Azure HBv33691215SE +/- 0.06125, N = 3SE +/- 0.11811, N = 6SE +/- 0.09389, N = 37.9156912.105109.50445MIN: 5.11MIN: 5.8MIN: 4.191. (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 HBv1Azure HBv2Azure HBv348121620Min: 7.81 / Avg: 7.92 / Max: 8.02Min: 11.71 / Avg: 12.11 / Max: 12.52Min: 9.33 / Avg: 9.5 / Max: 9.661. (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 HBv1Azure HBv2Azure HBv30.88671.77342.66013.54684.4335SE +/- 0.00862, N = 3SE +/- 0.01470, N = 3SE +/- 0.00509, N = 33.940771.595571.58182MIN: 3.87MIN: 1.5MIN: 1.491. (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 HBv1Azure HBv2Azure HBv3246810Min: 3.92 / Avg: 3.94 / Max: 3.95Min: 1.57 / Avg: 1.6 / Max: 1.62Min: 1.57 / Avg: 1.58 / Max: 1.591. (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: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAzure HBv1Azure HBv2Azure HBv30.54131.08261.62392.16522.7065SE +/- 0.045752, N = 12SE +/- 0.030825, N = 15SE +/- 0.004961, N = 32.4056101.0319420.406686MIN: 1.96MIN: 0.83MIN: 0.351. (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 HBv1Azure HBv2Azure HBv3246810Min: 2.17 / Avg: 2.41 / Max: 2.78Min: 0.92 / Avg: 1.03 / Max: 1.21Min: 0.4 / Avg: 0.41 / Max: 0.411. (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 HBv1Azure HBv2Azure HBv30.61561.23121.84682.46243.078SE +/- 0.005596, N = 3SE +/- 0.002363, N = 3SE +/- 0.002442, N = 32.7362100.7321300.455682MIN: 2.7MIN: 0.65MIN: 0.381. (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 HBv1Azure HBv2Azure HBv3246810Min: 2.73 / Avg: 2.74 / Max: 2.75Min: 0.73 / Avg: 0.73 / Max: 0.74Min: 0.45 / Avg: 0.46 / Max: 0.461. (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 HBv1Azure HBv2Azure HBv312002400360048006000SE +/- 83.42, N = 13SE +/- 16.54, N = 15SE +/- 25.25, N = 125524.501314.00875.17MIN: 4658.38MIN: 1140.59MIN: 727.381. (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 HBv1Azure HBv2Azure HBv310002000300040005000Min: 4695.81 / Avg: 5524.5 / Max: 5809.29Min: 1182.01 / Avg: 1314 / Max: 1419.56Min: 755.33 / Avg: 875.17 / Max: 1009.771. (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 HBv1Azure HBv2Azure HBv37001400210028003500SE +/- 113.65, N = 12SE +/- 8.13, N = 3SE +/- 8.62, N = 153344.14778.31530.90MIN: 2662.07MIN: 738.78MIN: 458.961. (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 HBv1Azure HBv2Azure HBv36001200180024003000Min: 2696.37 / Avg: 3344.14 / Max: 3791.39Min: 765.12 / Avg: 778.31 / Max: 793.12Min: 476.45 / Avg: 530.9 / Max: 573.731. (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 HBv1Azure HBv2Azure HBv312002400360048006000SE +/- 103.35, N = 12SE +/- 13.52, N = 15SE +/- 102.39, N = 145539.481287.03962.34MIN: 4475.65MIN: 1149.25MIN: 722.131. (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 HBv1Azure HBv2Azure HBv310002000300040005000Min: 4586.46 / Avg: 5539.48 / Max: 5795.86Min: 1207.12 / Avg: 1287.03 / Max: 1368.08Min: 741.04 / Avg: 962.34 / Max: 2245.61. (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: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAzure HBv1Azure HBv2Azure HBv37001400210028003500SE +/- 110.58, N = 12SE +/- 5.73, N = 15SE +/- 8.80, N = 153373.88791.46561.77MIN: 2418.62MIN: 718.74MIN: 471.831. (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: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAzure HBv1Azure HBv2Azure HBv36001200180024003000Min: 2468.9 / Avg: 3373.88 / Max: 3730.18Min: 746 / Avg: 791.46 / Max: 823.74Min: 490.11 / Avg: 561.77 / Max: 612.811. (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 HBv1Azure HBv2Azure HBv30.34040.68081.02121.36161.702SE +/- 0.088179, N = 15SE +/- 0.006544, N = 12SE +/- 0.000278, N = 31.5127100.3503470.255501MIN: 0.57MIN: 0.3MIN: 0.221. (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 HBv1Azure HBv2Azure HBv3246810Min: 1.1 / Avg: 1.51 / Max: 2.11Min: 0.33 / Avg: 0.35 / Max: 0.4Min: 0.26 / Avg: 0.26 / Max: 0.261. (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 HBv1Azure HBv2Azure HBv311002200330044005500SE +/- 122.64, N = 15SE +/- 11.10, N = 15SE +/- 14.29, N = 155355.241294.53843.10MIN: 4475.57MIN: 1179.19MIN: 711.661. (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 HBv1Azure HBv2Azure HBv39001800270036004500Min: 4515.02 / Avg: 5355.24 / Max: 5891.59Min: 1239.94 / Avg: 1294.53 / Max: 1401.9Min: 743.86 / Avg: 843.1 / Max: 928.841. (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 HBv1Azure HBv2Azure HBv37001400210028003500SE +/- 87.86, N = 15SE +/- 6.35, N = 15SE +/- 8.06, N = 153423.15796.82540.19MIN: 2651.39MIN: 726.18MIN: 462.71. (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 HBv1Azure HBv2Azure HBv36001200180024003000Min: 2754.22 / Avg: 3423.15 / Max: 3715.83Min: 756.99 / Avg: 796.82 / Max: 825.98Min: 480.13 / Avg: 540.19 / Max: 601.191. (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 HBv1Azure HBv2Azure HBv30.25980.51960.77941.03921.299SE +/- 0.003421, N = 3SE +/- 0.004967, N = 3SE +/- 0.004912, N = 41.1546500.5247370.445223MIN: 1.1MIN: 0.48MIN: 0.391. (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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAzure HBv1Azure HBv2Azure HBv3246810Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.43 / Avg: 0.45 / Max: 0.451. (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 HBv1Azure HBv2Azure HBv320K40K60K80K100KSE +/- 324.87, N = 3SE +/- 166.77, N = 3SE +/- 228.72, N = 3108606.5075154.2659196.551. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPAzure HBv1Azure HBv2Azure HBv320K40K60K80K100KMin: 107956.81 / Avg: 108606.5 / Max: 108937.86Min: 74919.02 / Avg: 75154.26 / Max: 75476.66Min: 58815.6 / Avg: 59196.55 / Max: 59606.331. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPAzure HBv1Azure HBv2Azure HBv340K80K120K160K200KSE +/- 1191.05, N = 3SE +/- 476.22, N = 3SE +/- 454.05, N = 3195702.80133719.33104884.291. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPAzure HBv1Azure HBv2Azure HBv330K60K90K120K150KMin: 194234.83 / Avg: 195702.8 / Max: 198061.47Min: 132784.52 / Avg: 133719.33 / Max: 134344.66Min: 104078.39 / Avg: 104884.29 / Max: 105649.71. (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 HBv1Azure HBv2Azure HBv33691215SE +/- 0.025, N = 15SE +/- 0.009, N = 3SE +/- 0.009, N = 33.2888.4589.0411. (CXX) g++ options: -O2 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAzure HBv1Azure HBv2Azure HBv33691215Min: 3.16 / Avg: 3.29 / Max: 3.56Min: 8.45 / Avg: 8.46 / Max: 8.48Min: 9.03 / Avg: 9.04 / Max: 9.061. (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 HBv1Azure HBv2Azure HBv320K40K60K80K100KSE +/- 1151.23, N = 15SE +/- 1151.94, N = 15SE +/- 2854.14, N = 1595206.274885.466320.4
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetAzure HBv1Azure HBv2Azure HBv317K34K51K68K85KMin: 89835.2 / Avg: 95206.24 / Max: 105138Min: 69961.9 / Avg: 74885.4 / Max: 83330.7Min: 48475.2 / Avg: 66320.38 / Max: 78669

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 HBv1Azure HBv2Azure HBv348121620SE +/- 0.162, N = 12SE +/- 0.657, N = 12SE +/- 0.113, N = 1517.19414.1368.224MIN: 15.74 / MAX: 54.06MIN: 10.98 / MAX: 78.48MIN: 5.66 / MAX: 54.171. (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: SqueezeNetV1.0Azure HBv1Azure HBv2Azure HBv348121620Min: 16.2 / Avg: 17.19 / Max: 18.03Min: 11.71 / Avg: 14.14 / Max: 19.71Min: 7.01 / Avg: 8.22 / Max: 8.851. (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 HBv1Azure HBv2Azure HBv31428425670SE +/- 1.07, N = 12SE +/- 1.18, N = 12SE +/- 0.25, N = 1562.4552.5329.09MIN: 54.15 / MAX: 188.44MIN: 41.27 / MAX: 326.88MIN: 25.79 / MAX: 252.291. (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 HBv1Azure HBv2Azure HBv31224364860Min: 55.26 / Avg: 62.45 / Max: 68.96Min: 44.92 / Avg: 52.53 / Max: 56.92Min: 27.82 / Avg: 29.09 / Max: 31.321. (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 HBv1Azure HBv2Azure HBv33691215SE +/- 0.342, N = 12SE +/- 0.587, N = 12SE +/- 0.085, N = 159.80212.5274.782MIN: 8.22 / MAX: 64.56MIN: 7.24 / MAX: 67.34MIN: 3.71 / MAX: 61.381. (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 HBv1Azure HBv2Azure HBv348121620Min: 8.72 / Avg: 9.8 / Max: 13Min: 10.07 / Avg: 12.53 / Max: 16.1Min: 4.33 / Avg: 4.78 / Max: 5.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.0Azure HBv1Azure HBv2Azure HBv3246810SE +/- 0.169, N = 12SE +/- 0.500, N = 12SE +/- 0.151, N = 156.2248.0303.950MIN: 5.42 / MAX: 7.73MIN: 4.5 / MAX: 15.23MIN: 2.55 / MAX: 5.411. (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 HBv1Azure HBv2Azure HBv33691215Min: 5.49 / Avg: 6.22 / Max: 7.61Min: 6.88 / Avg: 8.03 / Max: 13.38Min: 3.02 / Avg: 3.95 / Max: 4.711. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -O2 -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3Azure HBv1Azure HBv2Azure HBv320406080100SE +/- 0.96, N = 12SE +/- 0.95, N = 12SE +/- 0.24, N = 1576.8055.3634.71MIN: 69.85 / MAX: 676.14MIN: 47.56 / MAX: 509.74MIN: 31.09 / MAX: 427.771. (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 HBv1Azure HBv2Azure HBv31530456075Min: 71.21 / Avg: 76.8 / Max: 81.76Min: 50 / Avg: 55.36 / Max: 62.27Min: 33.47 / Avg: 34.71 / Max: 36.671. (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 HBv1Azure HBv2Azure HBv31224364860SE +/- 0.62, N = 12SE +/- 2.25, N = 12SE +/- 1.74, N = 943.1252.5627.87MIN: 38.84 / MAX: 619.9MIN: 40.97 / MAX: 511.3MIN: 21.41 / MAX: 63.521. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetAzure HBv1Azure HBv2Azure HBv31122334455Min: 39.87 / Avg: 43.12 / Max: 47.38Min: 44.28 / Avg: 52.56 / Max: 66.78Min: 22.17 / Avg: 27.87 / Max: 38.481. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Azure HBv1Azure HBv2Azure HBv3918273645SE +/- 0.59, N = 12SE +/- 2.17, N = 12SE +/- 3.10, N = 918.5037.2023.24MIN: 15.79 / MAX: 651.78MIN: 13.35 / MAX: 4343.96MIN: 10.66 / MAX: 3825.911. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Azure HBv1Azure HBv2Azure HBv3816243240Min: 16.48 / Avg: 18.5 / Max: 23.34Min: 25.01 / Avg: 37.2 / Max: 52.55Min: 12.73 / Avg: 23.24 / Max: 37.481. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Azure HBv1Azure HBv2Azure HBv3510152025SE +/- 0.31, N = 12SE +/- 1.32, N = 12SE +/- 0.83, N = 919.2621.3913.71MIN: 17.23 / MAX: 231.69MIN: 14.34 / MAX: 1188.39MIN: 9.5 / MAX: 286.311. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Azure HBv1Azure HBv2Azure HBv3510152025Min: 17.54 / Avg: 19.26 / Max: 21.87Min: 15.42 / Avg: 21.39 / Max: 31.92Min: 10 / Avg: 13.71 / Max: 17.911. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Azure HBv1Azure HBv2Azure HBv3816243240SE +/- 0.35, N = 12SE +/- 1.94, N = 12SE +/- 3.62, N = 923.1732.4221.04MIN: 20.64 / MAX: 707.72MIN: 20.32 / MAX: 786.11MIN: 12.75 / MAX: 4928.421. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Azure HBv1Azure HBv2Azure HBv3714212835Min: 21.22 / Avg: 23.17 / Max: 25.24Min: 25.07 / Avg: 32.42 / Max: 46.08Min: 13.44 / Avg: 21.04 / Max: 49.111. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Azure HBv1Azure HBv2Azure HBv3306090120150SE +/- 5.55, N = 12SE +/- 6.58, N = 12SE +/- 2.09, N = 9147.88133.7847.67MIN: 71.72 / MAX: 1164.25MIN: 82.15 / MAX: 2364.48MIN: 40.11 / MAX: 1444.131. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Azure HBv1Azure HBv2Azure HBv3306090120150Min: 117.2 / Avg: 147.88 / Max: 175.43Min: 102.77 / Avg: 133.78 / Max: 180.34Min: 41.22 / Avg: 47.67 / Max: 61.331. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetAzure HBv1Azure HBv2Azure HBv3612182430SE +/- 0.38, N = 12SE +/- 0.21, N = 12SE +/- 0.57, N = 926.8810.806.89MIN: 24.39 / MAX: 41.82MIN: 9.2 / MAX: 35.44MIN: 5.85 / MAX: 759.551. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetAzure HBv1Azure HBv2Azure HBv3612182430Min: 25.09 / Avg: 26.88 / Max: 29.01Min: 9.91 / Avg: 10.8 / Max: 11.94Min: 5.94 / Avg: 6.89 / Max: 11.351. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Azure HBv1Azure HBv2Azure HBv31428425670SE +/- 0.82, N = 12SE +/- 2.16, N = 12SE +/- 0.90, N = 963.2564.8030.03MIN: 49.71 / MAX: 682.19MIN: 44.36 / MAX: 2196.77MIN: 25.77 / MAX: 962.031. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Azure HBv1Azure HBv2Azure HBv31326395265Min: 57.33 / Avg: 63.25 / Max: 66.94Min: 53.36 / Avg: 64.8 / Max: 81.5Min: 26.33 / Avg: 30.03 / Max: 34.391. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Azure HBv1Azure HBv2Azure HBv390180270360450SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3420.05323.62272.61MIN: 418.9 / MAX: 430.09MIN: 322.04 / MAX: 326.05MIN: 272.1 / MAX: 273.51. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O2 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Azure HBv1Azure HBv2Azure HBv370140210280350Min: 419.85 / Avg: 420.05 / Max: 420.37Min: 323.35 / Avg: 323.62 / Max: 323.97Min: 272.47 / Avg: 272.61 / Max: 272.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O2 -rdynamic -ldl

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUAzure HBv1Azure HBv2Azure HBv3918273645SE +/- 0.21, N = 15SE +/- 0.21, N = 3SE +/- 0.39, N = 319.8825.5738.39
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUAzure HBv1Azure HBv2Azure HBv3816243240Min: 18.51 / Avg: 19.88 / Max: 21.43Min: 25.32 / Avg: 25.57 / Max: 25.98Min: 37.7 / Avg: 38.39 / Max: 39.06

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUAzure HBv1Azure HBv2Azure HBv3816243240SE +/- 0.21, N = 12SE +/- 0.31, N = 15SE +/- 0.42, N = 415.9723.1234.53
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUAzure HBv1Azure HBv2Azure HBv3714212835Min: 14.37 / Avg: 15.97 / Max: 16.97Min: 20.74 / Avg: 23.12 / Max: 25.41Min: 33.43 / Avg: 34.53 / Max: 35.48

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAzure HBv1Azure HBv2Azure HBv3246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 94.805.606.27
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAzure HBv1Azure HBv2Azure HBv33691215Min: 4.77 / Avg: 4.8 / Max: 4.83Min: 5.56 / Avg: 5.6 / Max: 5.65Min: 6.01 / Avg: 6.27 / Max: 7.53

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Azure HBv1Azure HBv2Azure HBv320M40M60M80M100MSE +/- 1483037.21, N = 15SE +/- 812916.11, N = 15SE +/- 1839362.01, N = 153876909743855550823418651. (CXX) g++ options: -O2 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Azure HBv1Azure HBv2Azure HBv314M28M42M56M70MMin: 31381550 / Avg: 38769096.67 / Max: 51831200Min: 40401240 / Avg: 43855550 / Max: 51792940Min: 69796040 / Avg: 82341864.67 / Max: 946572601. (CXX) g++ options: -O2 -fopenmp

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 - Decompression SpeedAzure HBv15001000150020002500SE +/- 0.12, N = 32163.21. (CC) gcc options: -O3 -pthread -lz -llzma

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-v3-v3 - Model: mobilenet-v3Azure HBv148121620SE +/- 0.58, N = 1217.35MIN: 14.97 / MAX: 1189.931. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetAzure HBv148121620SE +/- 0.31, N = 1216.68MIN: 15.15 / MAX: 507.951. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceAzure HBv1246810SE +/- 0.15, N = 127.99MIN: 7.33 / MAX: 317.731. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetAzure HBv1918273645SE +/- 0.52, N = 1241.49MIN: 35.42 / MAX: 661.961. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Azure HBv1918273645SE +/- 0.61, N = 1239.24MIN: 35.91 / MAX: 302.71. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyAzure HBv11530456075SE +/- 2.55, N = 1265.49MIN: 48.89 / MAX: 1199.51. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdAzure HBv11122334455SE +/- 1.11, N = 1246.54MIN: 40.89 / MAX: 1366.371. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mAzure HBv120406080100SE +/- 1.82, N = 12111.05MIN: 101.38 / MAX: 1386.251. (CXX) g++ options: -O2 -rdynamic -lgomp -lpthread

95 Results Shown

QuantLib
High Performance Conjugate Gradient
NAS Parallel Benchmarks
miniFE
CloverLeaf
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Pennant:
  sedovbig
  leblancbig
Timed HMMer Search
Xcompact3d Incompact3d
Timed MAFFT Alignment
LULESH
GNU GMP GMPbench
Zstd Compression:
  8 - Compression Speed
  19 - Compression Speed
  19 - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
Botan:
  KASUMI
  KASUMI - Decrypt
  AES-256
  AES-256 - Decrypt
  Twofish
  Twofish - Decrypt
  Blowfish
  Blowfish - Decrypt
  CAST-256
  CAST-256 - Decrypt
  ChaCha20Poly1305
  ChaCha20Poly1305 - Decrypt
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 8 - 1080p
SVT-HEVC:
  1 - Bosphorus 1080p
  7 - Bosphorus 1080p
  10 - Bosphorus 1080p
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
Timed Linux Kernel Compilation
Timed LLVM Compilation
Timed Node.js Compilation
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
FinanceBench:
  Repo OpenMP
  Bonds OpenMP
GROMACS
TensorFlow Lite
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU - shufflenet-v2
  CPU - efficientnet-b0
  CPU - vgg16
  CPU - alexnet
  CPU - resnet50
TNN
PlaidML:
  No - Inference - VGG16 - CPU
  No - Inference - VGG19 - CPU
  No - Inference - ResNet 50 - CPU
Kripke
Zstd Compression
NCNN:
  CPU-v3-v3 - mobilenet-v3
  CPU - mnasnet
  CPU - blazeface
  CPU - googlenet
  CPU - resnet18
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m