Microsoft Azure EPYC 7003 HPC HBv3 Benchmarks

Azure HBv3 benchmarks against other Microsoft Azure HPC instance types. Benchmarks by Michael Larabel for a future article on phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2104153-PTS-AZUREHPC42
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Azure HBv3 - EPYC 7V13
April 09
  7 Hours, 20 Minutes
Azure HBv2 - EPYC 7V12
April 10
  7 Hours, 28 Minutes
Azure HBv1 - EPYC 7551
April 11
  9 Hours, 51 Minutes
Azure HC - Xeon 8168
April 12
  4 Hours, 24 Minutes
Azure H - Xeon E5-2667 v3
April 14
  9 Hours, 51 Minutes
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  7 Hours, 47 Minutes

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Microsoft Azure EPYC 7003 HPC HBv3 BenchmarksProcessorMotherboardMemoryDiskGraphicsChipsetOSKernelCompilerFile-SystemScreen ResolutionSystem LayerAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v32 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 Disk2 x Intel Xeon Platinum 8168 (44 Cores)348GB2 x Intel Xeon E5-2667 v3 (16 Cores)Microsoft Virtual Machine v7.0 (090007 BIOS)Intel 440BX/ZX/DX222GB32GB Virtual Disk + 2199GB Virtual DiskMicrosoft Hyper-V virtual VGAMicrosoft Hyper-V ServerOpenBenchmarking.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 - EPYC 7V13: 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 - EPYC 7V12: 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 - EPYC 7551: 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 HC - Xeon 8168: itlb_multihit: vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT Host state unknown + meltdown: Mitigation of PTI + 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: Mitigation of Clear buffers; SMT Host state unknown - Azure H - Xeon E5-2667 v3: itlb_multihit: vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT Host state unknown + meltdown: Mitigation of PTI + 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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Logarithmic Result OverviewPhoronix Test Suite 10.6.1oneDNNGROMACSCloverLeafLULESHNAMDTimed Node.js CompilationSVT-HEVCSVT-VP9Xcompact3d Incompact3dHigh Performance Conjugate GradientTimed LLVM CompilationRodiniaTimed Linux Kernel CompilationSVT-AV1Mobile Neural NetworkZstd CompressionTensorFlow LitePennantPlaidMLQuantLibBotanGNU GMP GMPbenchTNNFinanceBench

Microsoft Azure EPYC 7003 HPC HBv3 Benchmarksrodinia: OpenMP LavaMDgromacs: Water Benchmarknpb: LU.Clulesh: svt-hevc: 1 - Bosphorus 1080pcompress-zstd: 8 - Compression Speedbuild-nodejs: Time To Compilesvt-vp9: Visual Quality Optimized - Bosphorus 1080pincompact3d: X3D-benchmarking input.i3dhpcg: build-llvm: Time To Compilesvt-av1: Enc Mode 8 - 1080pbuild-linux-kernel: Time To Compileplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - VGG16 - CPUbotan: ChaCha20Poly1305botan: ChaCha20Poly1305 - Decryptsvt-av1: Enc Mode 0 - 1080ppennant: leblancbigpennant: sedovbigcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Decompression Speedbotan: AES-256botan: AES-256 - Decryptcompress-zstd: 8, Long Mode - Decompression Speedfinancebench: Bonds OpenMPquantlib: financebench: Repo OpenMProdinia: OpenMP HotSpot3Dcompress-zstd: 8, Long Mode - Compression Speedgmpbench: Total Timebotan: Twofishbotan: Twofish - Decryptbotan: Blowfish - Decryptbotan: Blowfishtnn: CPU - SqueezeNet v1.1botan: CAST-256botan: KASUMIbotan: CAST-256 - Decryptbotan: KASUMI - Decryptplaidml: No - Inference - ResNet 50 - CPUmnn: inception-v3mnn: resnet-v2-50mnn: SqueezeNetV1.0tensorflow-lite: SqueezeNetonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUsvt-hevc: 10 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-av1: Enc Mode 4 - 1080pcompress-zstd: 19 - Compression Speednamd: ATPase Simulation - 327,506 Atomscloverleaf: Lagrangian-Eulerian HydrodynamicsAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v337.8039.04156682.8241636.60345.393184.2111.327337.71287.59950839.0620163.76094.02842.00834.5338.39667.765658.3700.1613.3372015.8334193717.53727.55412.1315407.4774256.8104884.2942712299.359196.54687582.489771.94893.4346.319345.776425.158424.738272.614133.69187.480133.66584.0596.2734.71029.0868.22466320.40.445223540.194843.1030.255501561.773962.336530.898875.1660.4556820.4066860.3838553.21204548.33378.0112.27578.20.2756616.6639.1988.45853829.3434803.53936.122653.1118.969140.59318.90500937.2686174.74378.10444.92223.1225.57615.795610.8610.1243.4865036.0264492631.02674.23934.4013938.4443037.5133719.3281251725.275154.257813107.976588.04155.5280.902283.257349.147348.425323.615113.60073.175113.72471.1015.6055.35652.53314.13674885.40.524737796.8161294.530.350347791.4601287.03778.3051314.000.7321301.0319420.4410129.68321379.91166.909.51269.50.3005623.7890.1753.28825304.1919011.45821.12920.1194.550129.44455.81237830.4314283.29140.14658.73815.9719.88303.243300.1780.07610.3376415.528992005.42019.33144.3133151.2282339.6195702.7968751251.7108606.502604145.569468.83021.3217.312218.034272.733273.039420.04788.54557.95088.55555.9804.8076.79962.44617.19495206.21.154653423.155355.241.512713373.885539.483344.145524.502.736212.405611.7635510.22263141.93119.204.66948.50.7094725.0094.1194.86620846.59023.871188.2189.096299.95507.29597026.0381251.74457.37755.32434.6641.54633.217626.9190.11110.5292023.871261903.91991.33155.3913159.8522350.2130250.4492191812.971609.065104115.832649.34196.5293.551294.381365.547367.942398.404116.63076.149116.57374.2874.9135.67329.0068.22673517.30.398005458.201753.3560.352180459.576746.464462.855744.3550.6686410.5514670.4743113.28160480.79256.287.62176.30.5256920.19284.1871.2297870.046444.24638.12582.7469.94283.401157.9332710.19951599.91326.835134.74014.8018.12551.827544.5840.08945.6774279.648781934.32006.32891.8462892.7192279.8147211.2395831505.180350.648438126.185567.43942.7270.067269.659327.093322.924335.411103.37270.985103.25168.3494.4840.58631.5048.9761754854.013922802.874495.904.233823198.074449.573117.454793.755.987126.924717.328628.70022172.1695.143.49039.81.71710111.14OpenBenchmarking.org

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v360120180240300SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.39, N = 3SE +/- 0.02, N = 3SE +/- 3.12, N = 337.8039.2090.1894.12284.191. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP LavaMDAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551120024003600480060004141.244536.364546.994703.765410.501. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure H - Xeon E5-2667 v3: Detected core count of 164. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v350100150200250Min: 37.37 / Avg: 37.8 / Max: 38.12Min: 38.79 / Avg: 39.2 / Max: 39.41Min: 89.43 / Avg: 90.18 / Max: 90.73Min: 94.09 / Avg: 94.12 / Max: 94.15Min: 279.93 / Avg: 284.19 / Max: 290.261. (CXX) g++ options: -O2 -lOpenCL

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v33691215SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.025, N = 15SE +/- 0.002, N = 39.0418.4584.8663.2881.2291. (CXX) g++ options: -O2 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day Per Core, More Is BetterGROMACS 2020.3Performance Per Core - Water BenchmarkAzure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75510.02490.04980.07470.09960.12450.11060.07680.07530.07050.05481. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v33691215Min: 9.03 / Avg: 9.04 / Max: 9.06Min: 8.45 / Avg: 8.46 / Max: 8.48Min: 4.86 / Avg: 4.87 / Max: 4.87Min: 3.16 / Avg: 3.29 / Max: 3.56Min: 1.23 / Avg: 1.23 / Max: 1.231. (CXX) g++ options: -O2 -pthread -lrt -lpthread -lm

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v312K24K36K48K60KSE +/- 428.57, N = 14SE +/- 21.24, N = 3SE +/- 114.01, N = 3SE +/- 33.92, N = 356682.8253829.3425304.197870.041. (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 H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551110220330440550491.88472.36448.58421.741. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure HBv2 - EPYC 7V12: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v310K20K30K40K50KMin: 51213.56 / Avg: 56682.82 / Max: 57398.81Min: 53787.12 / Avg: 53829.34 / Max: 53854.58Min: 25096.86 / Avg: 25304.19 / Max: 25490.03Min: 7807.52 / Avg: 7870.04 / Max: 7924.11. (F9X) gfortran options: -O3 -march=native -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v39K18K27K36K45KSE +/- 476.10, N = 3SE +/- 44.77, N = 3SE +/- 25.50, N = 3SE +/- 81.47, N = 3SE +/- 28.01, N = 341636.6034803.5420846.5919011.466444.251. (CXX) g++ options: -O3 -fopenmp -lm -fexceptions -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Core, More Is BetterLULESH 2.0.3Performance Per CoreAzure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V12100200300400500473.79402.77346.97316.86290.031. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v37K14K21K28K35KMin: 40950.33 / Avg: 41636.6 / Max: 42551.38Min: 34743.07 / Avg: 34803.54 / Max: 34890.96Min: 20796.32 / Avg: 20846.59 / Max: 20879.16Min: 18850.32 / Avg: 19011.46 / Max: 19112.96Min: 6401.94 / Avg: 6444.25 / Max: 6497.191. (CXX) g++ options: -O3 -fopenmp -lm -fexceptions -pthread -lmpi_cxx -lmpi

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v31020304050SE +/- 0.60, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 345.3936.1223.8721.128.121. (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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V120.12210.24420.36630.48840.61050.54250.50750.37830.35200.30101. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3918273645Min: 44.65 / Avg: 45.39 / Max: 46.57Min: 35.86 / Avg: 36.12 / Max: 36.3Min: 23.83 / Avg: 23.87 / Max: 23.91Min: 20.89 / Avg: 21.12 / Max: 21.27Min: 8.01 / Avg: 8.12 / Max: 8.21. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -lrt

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v37001400210028003500SE +/- 45.10, N = 3SE +/- 33.03, N = 15SE +/- 6.93, N = 3SE +/- 6.06, N = 3SE +/- 1.83, N = 33184.22653.11188.2920.1582.71. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755181624324036.4227.0026.5422.1115.341. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8 - Compression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v36001200180024003000Min: 3127 / Avg: 3184.2 / Max: 3273.2Min: 2446.8 / Avg: 2653.14 / Max: 2850.1Min: 1174.3 / Avg: 1188.17 / Max: 1195.2Min: 911.5 / Avg: 920.1 / Max: 931.8Min: 580 / Avg: 582.7 / Max: 586.21. (CC) gcc options: -O3 -pthread -lz -llzma

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3100200300400500SE +/- 1.09, N = 3SE +/- 0.83, N = 3SE +/- 0.40, N = 3SE +/- 0.16, N = 3SE +/- 0.95, N = 3111.33118.97189.10194.55469.94
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Node.js Compilation 15.11Performance Per Core - Time To CompileAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V123K6K9K12K15K7519.078320.2211673.0013359.2414276.281. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v380160240320400Min: 110.23 / Avg: 111.33 / Max: 113.5Min: 118.09 / Avg: 118.97 / Max: 120.62Min: 188.62 / Avg: 189.1 / Max: 189.89Min: 194.23 / Avg: 194.55 / Max: 194.72Min: 468.49 / Avg: 469.94 / Max: 471.74

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: Visual Quality Optimized - Input: Bosphorus 1080pAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v370140210280350SE +/- 4.36, N = 3SE +/- 4.18, N = 3SE +/- 0.20, N = 3SE +/- 1.10, N = 8SE +/- 1.28, N = 15337.71299.95140.59129.4483.401. (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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V122468106.825.212.812.161.171. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v360120180240300Min: 329.01 / Avg: 337.71 / Max: 342.57Min: 292.23 / Avg: 299.95 / Max: 306.61Min: 140.32 / Avg: 140.59 / Max: 140.98Min: 125.4 / Avg: 129.44 / Max: 134.34Min: 72.48 / Avg: 83.4 / Max: 89.511. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -O2 -pie -rdynamic -lpthread -lrt -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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v32004006008001000SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 2.96, N = 3SE +/- 7.11, N = 3SE +/- 12.66, N = 3287.60318.91455.81507.301157.931. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V128K16K24K32K40K18526.9322321.0227348.7434511.9438268.601. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v32004006008001000Min: 287.31 / Avg: 287.6 / Max: 287.89Min: 318.81 / Avg: 318.91 / Max: 319.04Min: 449.89 / Avg: 455.81 / Max: 458.88Min: 494.7 / Avg: 507.3 / Max: 519.32Min: 1140.28 / Avg: 1157.93 / Max: 1182.481. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -fexceptions -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3918273645SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 839.0637.2730.4326.0410.201. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.14340.28680.43020.57360.7170.63750.59180.50720.32550.31061. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3816243240Min: 38.95 / Avg: 39.06 / Max: 39.14Min: 37.16 / Avg: 37.27 / Max: 37.36Min: 30.1 / Avg: 30.43 / Max: 30.68Min: 26.02 / Avg: 26.04 / Max: 26.07Min: 9.76 / Avg: 10.2 / Max: 10.611. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -fexceptions -pthread -lmpi_cxx -lmpi

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3130260390520650SE +/- 1.89, N = 3SE +/- 1.99, N = 3SE +/- 2.31, N = 3SE +/- 3.41, N = 4SE +/- 2.26, N = 3163.76174.74251.74283.29599.91
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Core - Time To CompileAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V124K8K12K16K20K9598.6111076.7416997.4619651.2020969.161. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3110220330440550Min: 160.99 / Avg: 163.76 / Max: 167.37Min: 172.31 / Avg: 174.74 / Max: 178.69Min: 247.13 / Avg: 251.74 / Max: 254.37Min: 276.76 / Avg: 283.29 / Max: 292.78Min: 596.97 / Avg: 599.91 / Max: 604.35

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 8 - Input: 1080pAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v320406080100SE +/- 0.34, N = 3SE +/- 0.65, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 12SE +/- 0.35, N = 394.0378.1057.3840.1526.841. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V120.3780.7561.1341.5121.891.68001.30000.78360.66910.65091. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v320406080100Min: 93.43 / Avg: 94.03 / Max: 94.59Min: 76.81 / Avg: 78.1 / Max: 78.78Min: 56.97 / Avg: 57.38 / Max: 57.8Min: 36.81 / Avg: 40.15 / Max: 44.64Min: 26.39 / Avg: 26.84 / Max: 27.531. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3306090120150SE +/- 0.58, N = 15SE +/- 0.58, N = 13SE +/- 0.60, N = 15SE +/- 0.45, N = 13SE +/- 1.07, N = 1242.0144.9255.3258.74134.74
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Performance Per Core - Time To CompileAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12120024003600480060002155.842434.263524.285040.965390.641. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3306090120150Min: 39.43 / Avg: 42.01 / Max: 49.12Min: 43.11 / Avg: 44.92 / Max: 50.84Min: 52.95 / Avg: 55.32 / Max: 63.01Min: 58.06 / Avg: 58.74 / Max: 64.17Min: 130.36 / Avg: 134.74 / Max: 142.34

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: VGG19 - Device: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3816243240SE +/- 0.19, N = 3SE +/- 0.42, N = 4SE +/- 0.31, N = 15SE +/- 0.21, N = 12SE +/- 0.18, N = 434.6634.5323.1215.9714.80
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: VGG19 - Device: CPUAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V120.20810.41620.62430.83241.04050.92500.78770.28780.26620.19271. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3714212835Min: 34.38 / Avg: 34.66 / Max: 35.03Min: 33.43 / Avg: 34.53 / Max: 35.48Min: 20.74 / Avg: 23.12 / Max: 25.41Min: 14.37 / Avg: 15.97 / Max: 16.97Min: 14.32 / Avg: 14.8 / Max: 15.11

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3918273645SE +/- 0.22, N = 3SE +/- 0.39, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 15SE +/- 0.03, N = 341.5438.3925.5719.8818.12
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: VGG16 - Device: CPUAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.25430.50860.76291.01721.27151.13000.94410.33130.31990.21311. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3918273645Min: 41.2 / Avg: 41.54 / Max: 41.95Min: 37.7 / Avg: 38.39 / Max: 39.06Min: 25.32 / Avg: 25.57 / Max: 25.98Min: 18.51 / Avg: 19.88 / Max: 21.43Min: 18.09 / Avg: 18.12 / Max: 18.18

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: ChaCha20Poly1305Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551140280420560700SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.90, N = 3SE +/- 2.26, N = 3SE +/- 1.39, N = 3667.77633.22615.80551.83303.241. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755181624324034.4914.395.565.135.051. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551120240360480600Min: 667.33 / Avg: 667.77 / Max: 668.25Min: 632.67 / Avg: 633.22 / Max: 633.7Min: 614.01 / Avg: 615.79 / Max: 616.82Min: 547.37 / Avg: 551.83 / Max: 554.66Min: 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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551140280420560700SE +/- 0.06, N = 3SE +/- 0.55, N = 3SE +/- 0.78, N = 3SE +/- 1.38, N = 3SE +/- 1.37, N = 3658.37626.92610.86544.58300.181. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755181624324034.0414.255.495.095.001. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551120240360480600Min: 658.25 / Avg: 658.37 / Max: 658.44Min: 625.83 / Avg: 626.92 / Max: 627.6Min: 609.48 / Avg: 610.86 / Max: 612.17Min: 542.18 / Avg: 544.58 / Max: 546.96Min: 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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75510.03620.07240.10860.14480.181SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1610.1240.1110.0890.0761. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.00130.00260.00390.00520.00650.00560.00250.00130.00130.00101. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755112345Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: leblancbigAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v31020304050SE +/- 0.017738, N = 3SE +/- 0.009939, N = 3SE +/- 0.027196, N = 3SE +/- 0.037598, N = 3SE +/- 0.671685, N = 123.3372013.48650310.33764010.52920045.6774201. (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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3160320480640800400.46418.38463.29620.26730.841. Azure HBv3 - EPYC 7V13: Detected core count of 1202. Azure HBv2 - EPYC 7V12: Detected core count of 1203. Azure HC - Xeon 8168: Detected core count of 444. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure H - Xeon E5-2667 v3: Detected core count of 16
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3918273645Min: 3.3 / Avg: 3.34 / Max: 3.36Min: 3.47 / Avg: 3.49 / Max: 3.51Min: 10.3 / Avg: 10.34 / Max: 10.39Min: 10.49 / Avg: 10.53 / Max: 10.6Min: 42.82 / Avg: 45.68 / Max: 51.121. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v320406080100SE +/- 0.003905, N = 3SE +/- 0.012548, N = 3SE +/- 0.085157, N = 3SE +/- 0.048781, N = 3SE +/- 0.744226, N = 155.8334196.02644915.52899023.87126079.6487801. (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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v330060090012001500700.01723.17931.741050.341274.381. Azure HBv3 - EPYC 7V13: Detected core count of 1202. Azure HBv2 - EPYC 7V12: Detected core count of 1203. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HC - Xeon 8168: Detected core count of 445. Azure H - Xeon E5-2667 v3: Detected core count of 16
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure HC - Xeon 8168Azure H - Xeon E5-2667 v31530456075Min: 5.83 / Avg: 5.83 / Max: 5.84Min: 6 / Avg: 6.03 / Max: 6.05Min: 15.38 / Avg: 15.53 / Max: 15.68Min: 23.78 / Avg: 23.87 / Max: 23.94Min: 76.62 / Avg: 79.65 / Max: 84.611. (CXX) g++ options: -fopenmp -fexceptions -pthread -lmpi_cxx -lmpi

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: 19 - Decompression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3Azure HC - Xeon 81688001600240032004000SE +/- 6.14, N = 15SE +/- 1.17, N = 15SE +/- 0.66, N = 15SE +/- 2.70, N = 3SE +/- 2.22, N = 153717.52631.02005.41934.31903.91. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12306090120150120.8943.2733.4230.9821.931. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Decompression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3Azure HC - Xeon 81686001200180024003000Min: 3679.6 / Avg: 3717.45 / Max: 3752Min: 2621.5 / Avg: 2631.01 / Max: 2637.8Min: 2002 / Avg: 2005.4 / Max: 2009.2Min: 1928.9 / Avg: 1934.3 / Max: 1937.2Min: 1887.5 / Avg: 1903.87 / Max: 1914.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Decompression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3Azure HC - Xeon 81688001600240032004000SE +/- 12.70, N = 15SE +/- 2.70, N = 15SE +/- 0.32, N = 12SE +/- 2.28, N = 5SE +/- 2.46, N = 153727.52674.22019.32006.31991.31. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12306090120150125.3945.2633.6631.0622.291. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19, Long Mode - Decompression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3Azure HC - Xeon 81686001200180024003000Min: 3565.1 / Avg: 3727.52 / Max: 3764.5Min: 2640.1 / Avg: 2674.21 / Max: 2684.6Min: 2017.1 / Avg: 2019.28 / Max: 2020.7Min: 2002.4 / Avg: 2006.3 / Max: 2015.2Min: 1978.3 / Avg: 1991.33 / Max: 2007.91. (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: AES-256Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v312002400360048006000SE +/- 3.73, N = 3SE +/- 2.68, N = 3SE +/- 0.18, N = 3SE +/- 16.79, N = 3SE +/- 4.69, N = 35412.133934.403155.393144.312891.851. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V124080120160200180.7471.7152.4145.1032.791. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v39001800270036004500Min: 5405.03 / Avg: 5412.13 / Max: 5417.66Min: 3929.32 / Avg: 3934.4 / Max: 3938.41Min: 3155.19 / Avg: 3155.39 / Max: 3155.74Min: 3110.74 / Avg: 3144.31 / Max: 3161.45Min: 2884.15 / Avg: 2891.85 / Max: 2900.331. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - DecryptAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v312002400360048006000SE +/- 7.85, N = 3SE +/- 3.26, N = 3SE +/- 0.03, N = 3SE +/- 1.16, N = 3SE +/- 5.16, N = 35407.483938.443159.853151.232892.721. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V124080120160200180.7971.8152.5245.0632.821. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - DecryptAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v39001800270036004500Min: 5393.16 / Avg: 5407.48 / Max: 5420.23Min: 3931.93 / Avg: 3938.44 / Max: 3941.77Min: 3159.82 / Avg: 3159.85 / Max: 3159.91Min: 3149.12 / Avg: 3151.23 / Max: 3153.12Min: 2886.59 / Avg: 2892.72 / Max: 2902.981. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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, Long Mode - Decompression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v39001800270036004500SE +/- 4.89, N = 7SE +/- 4.57, N = 3SE +/- 2.50, N = 3SE +/- 1.19, N = 15SE +/- 13.10, N = 34256.83037.52350.22339.62279.81. (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 - Decompression SpeedAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12306090120150142.4953.4138.9935.4725.311. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Decompression SpeedAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v37001400210028003500Min: 4238.7 / Avg: 4256.83 / Max: 4275.7Min: 3028.9 / Avg: 3037.5 / Max: 3044.5Min: 2347.3 / Avg: 2350.23 / Max: 2355.2Min: 2328.6 / Avg: 2339.59 / Max: 2344.6Min: 2264.8 / Avg: 2279.8 / Max: 2305.91. (CC) gcc options: -O3 -pthread -lz -llzma

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: Bonds OpenMPAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755140K80K120K160K200KSE +/- 454.05, N = 3SE +/- 1475.96, N = 4SE +/- 476.22, N = 3SE +/- 150.66, N = 3SE +/- 1191.05, N = 3104884.29130250.45133719.33147211.24195702.801. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms x Core, Fewer Is BetterFinanceBench 2016-07-25Performance Per Core - Benchmark: Bonds OpenMPAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V123M6M9M12M15M2355379.835731019.7711742167.8112586115.3116046319.381. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755130K60K90K120K150KMin: 104078.39 / Avg: 104884.29 / Max: 105649.7Min: 128723.8 / Avg: 130250.45 / Max: 134677.39Min: 132784.52 / Avg: 133719.33 / Max: 134344.66Min: 147007.98 / Avg: 147211.24 / Max: 147505.5Min: 194234.83 / Avg: 195702.8 / Max: 198061.471. (CXX) g++ options: -O3 -march=native -fopenmp

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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75515001000150020002500SE +/- 4.80, N = 3SE +/- 7.80, N = 3SE +/- 0.77, N = 3SE +/- 4.07, N = 3SE +/- 1.79, N = 32299.31812.91725.21505.11251.71. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V122040608010094.0741.2020.8619.1614.381. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551400800120016002000Min: 2290.1 / Avg: 2299.27 / Max: 2306.3Min: 1797.3 / Avg: 1812.9 / Max: 1821Min: 1724.1 / Avg: 1725.23 / Max: 1726.7Min: 1497.6 / Avg: 1505.07 / Max: 1511.6Min: 1249 / Avg: 1251.73 / Max: 1255.11. (CXX) g++ options: -O3 -march=native -O2 -rdynamic -lboost_timer -lboost_system -lboost_chrono

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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755120K40K60K80K100KSE +/- 228.72, N = 3SE +/- 15.23, N = 3SE +/- 166.77, N = 3SE +/- 85.66, N = 3SE +/- 324.87, N = 359196.5571609.0775154.2680350.65108606.501. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms x Core, Fewer Is BetterFinanceBench 2016-07-25Performance Per Core - Benchmark: Repo OpenMPAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V122M4M6M8M10M1285610.383150798.876516390.167103585.639018510.941. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755120K40K60K80K100KMin: 58815.6 / Avg: 59196.55 / Max: 59606.33Min: 71583.8 / Avg: 71609.07 / Max: 71636.45Min: 74919.02 / Avg: 75154.26 / Max: 75476.66Min: 80186.23 / Avg: 80350.65 / Max: 80474.55Min: 107956.81 / Avg: 108606.5 / Max: 108937.861. (CXX) g++ options: -O3 -march=native -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 HotSpot3DAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551306090120150SE +/- 1.18, N = 15SE +/- 0.89, N = 3SE +/- 0.21, N = 3SE +/- 0.43, N = 3SE +/- 1.35, N = 382.49107.98115.83126.19145.571. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 3.1Performance Per Core - Test: OpenMP HotSpot3DAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V123K6K9K12K15K2018.965096.618734.149898.6812957.121. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551306090120150Min: 77.17 / Avg: 82.49 / Max: 91.09Min: 106.46 / Avg: 107.98 / Max: 109.52Min: 115.57 / Avg: 115.83 / Max: 116.24Min: 125.68 / Avg: 126.19 / Max: 127.04Min: 142.93 / Avg: 145.57 / Max: 147.391. (CXX) g++ options: -O2 -lOpenCL

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, Long Mode - Compression SpeedAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551170340510680850SE +/- 6.99, N = 7SE +/- 6.29, N = 3SE +/- 0.81, N = 3SE +/- 1.99, N = 3SE +/- 3.02, N = 15771.9649.3588.0567.4468.81. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V1281624324035.4614.767.816.434.901. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 8, Long Mode - Compression SpeedAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551140280420560700Min: 748.6 / Avg: 771.91 / Max: 801.2Min: 642.4 / Avg: 649.33 / Max: 661.9Min: 586.7 / Avg: 588 / Max: 589.5Min: 564.3 / Avg: 567.4 / Max: 571.1Min: 450.5 / Avg: 468.85 / Max: 490.81. (CC) gcc options: -O3 -pthread -lz -llzma

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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551100020003000400050004893.44196.54155.53942.73021.31. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V1250100150200250246.4295.3850.3640.7834.631. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120

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: TwofishAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755180160240320400SE +/- 1.10, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.46, N = 3SE +/- 2.54, N = 4346.32293.55280.90270.07217.311. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V124812162016.886.673.622.892.341. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: TwofishAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755160120180240300Min: 344.13 / Avg: 346.32 / Max: 347.56Min: 293.16 / Avg: 293.55 / Max: 293.83Min: 280.75 / Avg: 280.9 / Max: 281.2Min: 269.31 / Avg: 270.07 / Max: 270.9Min: 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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755180160240320400SE +/- 0.77, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 3SE +/- 0.99, N = 3SE +/- 2.43, N = 4345.78294.38283.26269.66218.031. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V124812162016.856.693.632.882.361. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755160120180240300Min: 344.23 / Avg: 345.78 / Max: 346.56Min: 294.14 / Avg: 294.38 / Max: 294.56Min: 282.85 / Avg: 283.26 / Max: 283.6Min: 267.69 / Avg: 269.66 / Max: 270.77Min: 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: Blowfish - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755190180270360450SE +/- 0.42, N = 3SE +/- 0.12, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.08, N = 3425.16365.55349.15327.09272.731. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V1251015202520.448.314.553.542.911. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755180160240320400Min: 424.32 / Avg: 425.16 / Max: 425.59Min: 365.3 / Avg: 365.55 / Max: 365.68Min: 348.3 / Avg: 349.15 / Max: 350.2Min: 326.3 / Avg: 327.09 / Max: 328.15Min: 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: BlowfishAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755190180270360450SE +/- 0.47, N = 3SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 0.68, N = 3SE +/- 0.10, N = 3424.74367.94348.43322.92273.041. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V1251015202520.188.364.553.542.901. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: BlowfishAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755180160240320400Min: 423.81 / Avg: 424.74 / Max: 425.22Min: 367.73 / Avg: 367.94 / Max: 368.06Min: 347.64 / Avg: 348.43 / Max: 349.09Min: 321.7 / Avg: 322.92 / Max: 324.03Min: 272.87 / Avg: 273.04 / Max: 273.211. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 755190180270360450SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.39, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3272.61323.62335.41398.40420.05MIN: 272.1 / MAX: 273.5MIN: 322.04 / MAX: 326.05MIN: 329.82 / MAX: 368.39MIN: 398 / MAX: 399.03MIN: 418.9 / MAX: 430.091. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O2 -rdynamic -ldl
OpenBenchmarking.orgms x Core, Fewer Is BetterTNN 0.2.3Performance Per Core - Target: CPU - Model: SqueezeNet v1.1Azure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V128K16K24K32K40K5366.5817529.7825202.8232713.6838833.801. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 755170140210280350Min: 272.47 / Avg: 272.61 / Max: 272.91Min: 323.35 / Avg: 323.62 / Max: 323.97Min: 334.98 / Avg: 335.41 / Max: 336.19Min: 398.3 / Avg: 398.4 / Max: 398.5Min: 419.85 / Avg: 420.05 / Max: 420.371. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O2 -rdynamic -ldl

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: CAST-256Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3133.69116.63113.60103.3788.551. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V122468106.46002.65001.48001.11000.94671. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551306090120150Min: 133.65 / Avg: 133.69 / Max: 133.74Min: 116.62 / Avg: 116.63 / Max: 116.64Min: 113.46 / Avg: 113.6 / Max: 113.69Min: 103.14 / Avg: 103.37 / Max: 103.61Min: 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: KASUMIAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755120406080100SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.00, N = 387.4876.1573.1870.9957.951. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.9991.9982.9973.9964.9954.44001.73000.96580.72900.60981. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMIAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755120406080100Min: 87.41 / Avg: 87.48 / Max: 87.53Min: 76.09 / Avg: 76.15 / Max: 76.18Min: 73.08 / Avg: 73.18 / Max: 73.31Min: 70.48 / Avg: 70.99 / Max: 71.28Min: 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: CAST-256 - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 2133.67116.57113.72103.2588.561. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V122468106.45002.65001.48001.11000.94771. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551306090120150Min: 133.63 / Avg: 133.67 / Max: 133.69Min: 116.56 / Avg: 116.57 / Max: 116.58Min: 113.71 / Avg: 113.72 / Max: 113.73Min: 102.82 / Avg: 103.25 / Max: 103.62Min: 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: KASUMI - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755120406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.00, N = 384.0674.2971.1068.3555.981. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.96081.92162.88243.84324.8044.27001.69000.93300.70050.59251. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - DecryptAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75511632486480Min: 84.03 / Avg: 84.06 / Max: 84.08Min: 74.23 / Avg: 74.29 / Max: 74.32Min: 71.04 / Avg: 71.1 / Max: 71.18Min: 68.17 / Avg: 68.35 / Max: 68.68Min: 55.97 / Avg: 55.98 / Max: 55.991. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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: ResNet 50 - Device: CPUAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810SE +/- 0.16, N = 9SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.275.604.914.804.48
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.0630.1260.1890.2520.3150.28000.11160.08000.05230.04671. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v33691215Min: 6.01 / Avg: 6.27 / Max: 7.53Min: 5.56 / Avg: 5.6 / Max: 5.65Min: 4.89 / Avg: 4.91 / Max: 4.92Min: 4.77 / Avg: 4.8 / Max: 4.83Min: 4.45 / Avg: 4.48 / Max: 4.5

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: inception-v3Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755120406080100SE +/- 0.24, N = 15SE +/- 0.32, N = 3SE +/- 1.56, N = 12SE +/- 0.95, N = 12SE +/- 0.96, N = 1234.7135.6740.5955.3676.80MIN: 31.09 / MAX: 427.77MIN: 34.52 / MAX: 128.55MIN: 29.94 / MAX: 479.23MIN: 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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V1214002800420056007000649.381569.614165.204607.946642.721. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75511530456075Min: 33.47 / Avg: 34.71 / Max: 36.67Min: 35.14 / Avg: 35.67 / Max: 36.24Min: 35.98 / Avg: 40.59 / Max: 57.04Min: 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75511428425670SE +/- 0.12, N = 3SE +/- 0.25, N = 15SE +/- 0.34, N = 12SE +/- 1.18, N = 12SE +/- 1.07, N = 1229.0129.0931.5052.5362.45MIN: 27.94 / MAX: 76.84MIN: 25.79 / MAX: 252.29MIN: 25.12 / MAX: 279.16MIN: 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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V1214002800420056007000504.061276.263490.323746.766303.961. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75511224364860Min: 28.76 / Avg: 29.01 / Max: 29.17Min: 27.82 / Avg: 29.09 / Max: 31.32Min: 28.95 / Avg: 31.5 / Max: 32.89Min: 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: SqueezeNetV1.0Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755148121620SE +/- 0.113, N = 15SE +/- 0.058, N = 3SE +/- 0.246, N = 12SE +/- 0.657, N = 12SE +/- 0.162, N = 128.2248.2268.97614.13617.194MIN: 5.66 / MAX: 54.17MIN: 7.29 / MAX: 23.89MIN: 6.66 / MAX: 318.77MIN: 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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V12400800120016002000143.62361.94986.881031.641696.321. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.0Azure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755148121620Min: 7.01 / Avg: 8.22 / Max: 8.85Min: 8.12 / Avg: 8.23 / Max: 8.31Min: 8.02 / Avg: 8.98 / Max: 10.63Min: 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

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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v340K80K120K160K200KSE +/- 2854.14, N = 15SE +/- 698.77, N = 3SE +/- 1151.94, N = 15SE +/- 1151.23, N = 15SE +/- 987.91, N = 366320.473517.374885.495206.2175485.0
OpenBenchmarking.orgMicroseconds x Core, Fewer Is BetterTensorFlow Lite 2020-08-23Performance Per Core - Model: SqueezeNetAzure H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V122M4M6M8M10M2807760.03234761.25712372.07958448.08986248.01. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v330K60K90K120K150KMin: 48475.2 / Avg: 66320.38 / Max: 78669Min: 72138.1 / Avg: 73517.33 / Max: 74402.2Min: 69961.9 / Avg: 74885.4 / Max: 83330.7Min: 89835.2 / Avg: 95206.24 / Max: 105138Min: 173825 / Avg: 175485 / Max: 177243

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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v30.90311.80622.70933.61244.5155SE +/- 0.004555, N = 15SE +/- 0.004912, N = 4SE +/- 0.004967, N = 3SE +/- 0.003421, N = 3SE +/- 0.564166, N = 120.3980050.4452230.5247371.1546504.013920MIN: 1.1MIN: 2.031. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551153045607517.5153.4362.9764.2269.281. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure HBv2 - EPYC 7V12: Detected core count of 1204. Azure H - Xeon E5-2667 v3: Detected core count of 165. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810Min: 0.37 / Avg: 0.4 / Max: 0.43Min: 0.43 / Avg: 0.45 / Max: 0.45Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 2.38 / Avg: 4.01 / Max: 9.341. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75517001400210028003500SE +/- 2.64, N = 3SE +/- 8.06, N = 15SE +/- 6.35, N = 15SE +/- 133.56, N = 15SE +/- 87.86, N = 15458.20540.19796.822802.873423.15MIN: 462.7MIN: 726.18MIN: 1783.32MIN: 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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755140K80K120K160K200K20160.8444845.9264823.2895617.92205389.001. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75516001200180024003000Min: 453.88 / Avg: 458.2 / Max: 463Min: 480.13 / Avg: 540.19 / Max: 601.19Min: 756.99 / Avg: 796.82 / Max: 825.98Min: 2209.9 / Avg: 2802.87 / Max: 3882.24Min: 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: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755111002200330044005500SE +/- 4.09, N = 3SE +/- 14.29, N = 15SE +/- 11.10, N = 15SE +/- 240.85, N = 12SE +/- 122.64, N = 15753.36843.101294.534495.905355.24MIN: 736.05MIN: 711.66MIN: 1179.19MIN: 2965.45MIN: 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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755170K140K210K280K350K33147.6671934.40101172.36155343.60321314.401. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75519001800270036004500Min: 745.42 / Avg: 753.36 / Max: 759.07Min: 743.86 / Avg: 843.1 / Max: 928.84Min: 1239.94 / Avg: 1294.53 / Max: 1401.9Min: 3646.58 / Avg: 4495.9 / Max: 6299.03Min: 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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v30.95261.90522.85783.81044.763SE +/- 0.000278, N = 3SE +/- 0.006544, N = 12SE +/- 0.011574, N = 15SE +/- 0.088179, N = 15SE +/- 0.797911, N = 150.2555010.3503470.3521801.5127104.233820MIN: 0.57MIN: 1.341. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75512040608010015.5030.6642.0467.7490.761. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure HBv2 - EPYC 7V12: Detected core count of 1204. Azure H - Xeon E5-2667 v3: Detected core count of 165. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.33 / Avg: 0.35 / Max: 0.4Min: 0.29 / Avg: 0.35 / Max: 0.43Min: 1.1 / Avg: 1.51 / Max: 2.11Min: 2.05 / Avg: 4.23 / Max: 12.481. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75517001400210028003500SE +/- 1.52, N = 3SE +/- 8.80, N = 15SE +/- 5.73, N = 15SE +/- 215.78, N = 15SE +/- 110.58, N = 12459.58561.77791.463198.073373.88MIN: 471.83MIN: 718.74MIN: 1805.4MIN: 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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755140K80K120K160K200K20221.3451169.1267412.7694975.20202432.801. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75516001200180024003000Min: 457.92 / Avg: 459.58 / Max: 462.62Min: 490.11 / Avg: 561.77 / Max: 612.81Min: 746 / Avg: 791.46 / Max: 823.74Min: 2374.53 / Avg: 3198.07 / Max: 5398.04Min: 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: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755112002400360048006000SE +/- 3.40, N = 3SE +/- 102.39, N = 14SE +/- 13.52, N = 15SE +/- 213.65, N = 12SE +/- 103.35, N = 12746.46962.341287.034449.575539.48MIN: 722.13MIN: 1149.25MIN: 2983.77MIN: 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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755170K140K210K280K350K32844.4271193.12115480.32154443.60332368.801. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755110002000300040005000Min: 740.76 / Avg: 746.46 / Max: 752.53Min: 741.04 / Avg: 962.34 / Max: 2245.6Min: 1207.12 / Avg: 1287.03 / Max: 1368.08Min: 3763.3 / Avg: 4449.57 / Max: 6176.99Min: 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: f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75517001400210028003500SE +/- 2.05, N = 3SE +/- 8.62, N = 15SE +/- 8.13, N = 3SE +/- 171.94, N = 12SE +/- 113.65, N = 12462.86530.90778.313117.453344.14MIN: 458.96MIN: 738.78MIN: 1801.23MIN: 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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755140K80K120K160K200K20365.6249879.2063707.7693396.60200648.401. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 75516001200180024003000Min: 458.76 / Avg: 462.86 / Max: 465.01Min: 476.45 / Avg: 530.9 / Max: 573.73Min: 765.12 / Avg: 778.31 / Max: 793.12Min: 2151.94 / Avg: 3117.45 / Max: 4105.12Min: 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: f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755112002400360048006000SE +/- 4.60, N = 3SE +/- 25.25, N = 12SE +/- 16.54, N = 15SE +/- 239.22, N = 15SE +/- 83.42, N = 13744.36875.171314.004793.755524.50MIN: 727.38MIN: 1140.59MIN: 2947.39MIN: 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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755170K140K210K280K350K32751.6276700.00105019.92157680.00331470.001. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAzure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 755110002000300040005000Min: 737.54 / Avg: 744.35 / Max: 753.11Min: 755.33 / Avg: 875.17 / Max: 1009.77Min: 1182.01 / Avg: 1314 / Max: 1419.56Min: 3615.97 / Avg: 4793.75 / Max: 7306.78Min: 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: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v31.34712.69424.04135.38846.7355SE +/- 0.002442, N = 3SE +/- 0.006150, N = 15SE +/- 0.002363, N = 3SE +/- 0.005596, N = 3SE +/- 1.017585, N = 150.4556820.6686410.7321302.7362105.987120MIN: 2.7MIN: 3.171. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551408012016020029.4254.6887.8695.79164.171. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure HBv2 - EPYC 7V12: Detected core count of 1204. Azure H - Xeon E5-2667 v3: Detected core count of 165. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810Min: 0.45 / Avg: 0.46 / Max: 0.46Min: 0.65 / Avg: 0.67 / Max: 0.71Min: 0.73 / Avg: 0.73 / Max: 0.74Min: 2.73 / Avg: 2.74 / Max: 2.75Min: 3.56 / Avg: 5.99 / Max: 15.511. (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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810SE +/- 0.004961, N = 3SE +/- 0.003751, N = 3SE +/- 0.030825, N = 15SE +/- 0.045752, N = 12SE +/- 1.264069, N = 150.4066860.5514671.0319422.4056106.924710MIN: 1.96MIN: 2.21. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 755130609012015024.2748.80110.80123.83144.341. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure H - Xeon E5-2667 v3: Detected core count of 164. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v33691215Min: 0.4 / Avg: 0.41 / Max: 0.41Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.92 / Avg: 1.03 / Max: 1.21Min: 2.17 / Avg: 2.41 / Max: 2.78Min: 2.61 / Avg: 6.92 / Max: 14.71. (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: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810SE +/- 0.009558, N = 12SE +/- 0.003995, N = 7SE +/- 0.017521, N = 12SE +/- 0.040927, N = 15SE +/- 2.687031, N = 120.3838550.4410120.4743111.7635507.328620MIN: 0.89MIN: 1.371. (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 HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v330609012015020.8746.0652.92105.81117.261. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv3 - EPYC 7V13: Detected core count of 1203. Azure HBv2 - EPYC 7V12: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure H - Xeon E5-2667 v3: Detected core count of 16
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v33691215Min: 0.35 / Avg: 0.38 / Max: 0.47Min: 0.43 / Avg: 0.44 / Max: 0.46Min: 0.37 / Avg: 0.47 / Max: 0.57Min: 1.48 / Avg: 1.76 / Max: 2Min: 1.87 / Avg: 7.33 / Max: 25.871. (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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75513691215SE +/- 0.02162, N = 3SE +/- 0.00454, N = 3SE +/- 1.08345, N = 15SE +/- 0.28898, N = 15SE +/- 0.43651, N = 153.212043.281608.700229.6832110.22263MIN: 2.58MIN: 3.2MIN: 5.33MIN: 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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V122004006008001000139.20144.39385.45613.361161.991. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75513691215Min: 3.17 / Avg: 3.21 / Max: 3.25Min: 3.28 / Avg: 3.28 / Max: 3.29Min: 6.29 / Avg: 8.7 / Max: 21.7Min: 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

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: 10 - Input: Bosphorus 1080pAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551120240360480600SE +/- 7.76, N = 3SE +/- 2.25, N = 3SE +/- 21.86, N = 15SE +/- 1.74, N = 6SE +/- 2.68, N = 15548.33480.79379.91172.16141.931. (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 HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551369121510.9310.764.573.172.371. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure H - Xeon E5-2667 v3Azure HBv1 - EPYC 7551100200300400500Min: 532.86 / Avg: 548.33 / Max: 557.1Min: 476.57 / Avg: 480.79 / Max: 484.26Min: 151.29 / Avg: 379.91 / Max: 460.12Min: 166.34 / Avg: 172.16 / Max: 177.36Min: 130.01 / Avg: 141.93 / Max: 170.991. (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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v380160240320400SE +/- 4.22, N = 3SE +/- 1.61, N = 3SE +/- 6.53, N = 12SE +/- 1.15, N = 3SE +/- 1.35, N = 3378.01256.28166.90119.2095.141. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv1 - EPYC 7551Azure HBv2 - EPYC 7V121.33882.67764.01645.35526.6945.955.823.151.991.391. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv1 - EPYC 7551: Detected core count of 605. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v370140210280350Min: 369.69 / Avg: 378.01 / Max: 383.39Min: 253.06 / Avg: 256.28 / Max: 257.95Min: 129.12 / Avg: 166.9 / Max: 202.77Min: 117.12 / Avg: 119.2 / Max: 121.09Min: 92.62 / Avg: 95.14 / Max: 97.231. (CC) gcc options: -fPIE -fPIC -O2 -O3 -pie -rdynamic -lpthread -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 4 - Input: 1080pAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v33691215SE +/- 0.031, N = 3SE +/- 0.218, N = 15SE +/- 0.023, N = 3SE +/- 0.034, N = 11SE +/- 0.022, N = 312.2759.5127.6214.6693.4901. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 75510.04910.09820.14730.19640.24550.21810.17320.10230.07930.07781. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v348121620Min: 12.22 / Avg: 12.28 / Max: 12.32Min: 7.69 / Avg: 9.51 / Max: 10.39Min: 7.59 / Avg: 7.62 / Max: 7.67Min: 4.52 / Avg: 4.67 / Max: 4.94Min: 3.45 / Avg: 3.49 / Max: 3.511. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: 19 - Compression SpeedAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v320406080100SE +/- 0.71, N = 15SE +/- 1.01, N = 15SE +/- 1.18, N = 15SE +/- 0.83, N = 15SE +/- 0.57, N = 378.276.369.548.539.81. (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 H - Xeon E5-2667 v3Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V120.56031.12061.68092.24122.80152.49001.73000.80830.65170.57921. Azure H - Xeon E5-2667 v3: Detected core count of 162. Azure HC - Xeon 8168: Detected core count of 443. Azure HBv1 - EPYC 7551: Detected core count of 604. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.9Compression Level: 19 - Compression SpeedAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v31530456075Min: 72.9 / Avg: 78.15 / Max: 83.1Min: 68 / Avg: 76.3 / Max: 81.7Min: 61.4 / Avg: 69.51 / Max: 77.6Min: 41.8 / Avg: 48.53 / Max: 53.4Min: 38.7 / Avg: 39.83 / Max: 40.51. (CC) gcc options: -O3 -pthread -lz -llzma

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 HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v30.38630.77261.15891.54521.9315SE +/- 0.00027, N = 3SE +/- 0.00059, N = 3SE +/- 0.00126, N = 3SE +/- 0.00507, N = 3SE +/- 0.05413, N = 150.275660.300560.525690.709471.71710
OpenBenchmarking.orgdays/ns x Core, Fewer Is BetterNAMD 2.14Performance Per Core - ATPase Simulation - 327,506 AtomsAzure HC - Xeon 8168Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551102030405023.1327.4733.0836.0742.571. Azure HC - Xeon 8168: Detected core count of 442. Azure H - Xeon E5-2667 v3: Detected core count of 163. Azure HBv3 - EPYC 7V13: Detected core count of 1204. Azure HBv2 - EPYC 7V12: Detected core count of 1205. Azure HBv1 - EPYC 7551: Detected core count of 60
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsAzure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V12Azure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3246810Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.7 / Avg: 0.71 / Max: 0.72Min: 1.5 / Avg: 1.72 / Max: 2.04

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 HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v320406080100SE +/- 0.83, N = 15SE +/- 0.26, N = 3SE +/- 0.45, N = 12SE +/- 0.11, N = 3SE +/- 1.93, N = 1416.6620.1923.7825.00111.141. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterCloverLeafPerformance Per Core - Lagrangian-Eulerian HydrodynamicsAzure HC - Xeon 8168Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v3Azure HBv3 - EPYC 7V13Azure HBv2 - EPYC 7V126001200180024003000888.361500.001778.241999.202853.601. Azure HC - Xeon 8168: Detected core count of 442. Azure HBv1 - EPYC 7551: Detected core count of 603. Azure H - Xeon E5-2667 v3: Detected core count of 164. Azure HBv3 - EPYC 7V13: Detected core count of 1205. Azure HBv2 - EPYC 7V12: Detected core count of 120
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAzure HBv3 - EPYC 7V13Azure HC - Xeon 8168Azure HBv2 - EPYC 7V12Azure HBv1 - EPYC 7551Azure H - Xeon E5-2667 v320406080100Min: 13.14 / Avg: 16.66 / Max: 24.43Min: 19.68 / Avg: 20.19 / Max: 20.46Min: 21.27 / Avg: 23.78 / Max: 26.48Min: 24.85 / Avg: 25 / Max: 25.21Min: 106.93 / Avg: 111.14 / Max: 135.611. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp