Xeon E3 1245 December v5

Intel Xeon E3-1245 v5 testing with a MSI C236A WORKSTATION (MS-7998) v1.0 (2.90 BIOS) and MSI Intel HD P530 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

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December 16 2020
  3 Hours, 42 Minutes
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December 17 2020
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Xeon E3 1245 December v5ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Xeon E3-1245 v5 @ 3.90GHz (4 Cores / 8 Threads)MSI C236A WORKSTATION (MS-7998) v1.0 (2.90 BIOS)Intel Xeon E3-1200 v5/E3-150032GB120GB Samsung SSD 850MSI Intel HD P530 3GB (1150MHz)Realtek ALC1150LG Ultra HDIntel I219-VUbuntu 20.045.9.0-050900rc7daily20201003-generic (x86_64) 20201002GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.41.2.131GCC 9.3.0ext43840x2160OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite 10.2.2100%101%101%102%103%Betsy GPU CompressorBuild2CoremarkApache SiegeNode.js V8 Web Tooling BenchmarkTimed MAFFT AlignmentTimed Clash CompilationPHPBenchsimdjsonTimed HMMer SearchSQLite SpeedtestoneDNNVkFFTBRL-CADTimed FFmpeg CompilationVkResample

Xeon E3 1245 December v5vkfft: betsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkresample: 2x - Doublevkresample: 2x - Singlehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondbuild-clash: Time To Compilebuild-ffmpeg: Time To Compilebuild2: Time To Compilenode-web-tooling: sqlite-speedtest: Timed Time - Size 1,000apache-siege: 10apache-siege: 50apache-siege: 100apache-siege: 200apache-siege: 250apache-siege: 500phpbench: PHP Benchmark Suitebrl-cad: VGR Performance Metric123140311.2867.187998.698431.800125.60212.2920.620.380.570.588.1933812.05053.745653.1241319.927310.865414.786319.749411.50537.556547475.483935.487465.283936.935.160708018.553936.667.06309139999.666879503.135128.177278.20710.4373.62334682.1737184.0236590.0335475.1335071.7935425.8765145248474140411.0521001.138430.887125.92812.3890.610.380.570.588.1900812.39853.747403.1312219.924310.958114.689319.720711.48527.561967493.453968.987469.163957.025.142197485.173939.667.05721139563.390363502.741128.292277.88910.5273.72534482.7636795.6036203.3734911.4934308.0134441.3764853748425140510.996998.819430.666125.73412.3220.610.380.570.588.1966112.14113.743653.1312920.101810.871414.702119.742711.51257.569187484.243951.347470.613997.525.154527471.283950.787.06753141836.103733504.478128.211284.26610.4473.80534134.6937055.5335988.6534952.9734647.1034499.8865124848489OpenBenchmarking.org

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.112330060090012001500SE +/- 2.03, N = 31403140414051. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.11232004006008001000Min: 1399 / Avg: 1402.67 / Max: 14061. (CXX) g++ options: -O3 -pthread

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215SE +/- 0.29, N = 15SE +/- 0.10, N = 3SE +/- 0.07, N = 311.2911.0511.001. (CXX) g++ options: -O3 -O2 -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215Min: 10.84 / Avg: 11.29 / Max: 15.38Min: 10.87 / Avg: 11.05 / Max: 11.2Min: 10.86 / Avg: 11 / Max: 11.11. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highest12468107.1871. (CXX) g++ options: -O3 -O2 -lpthread -ldl

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000SE +/- 0.33, N = 3SE +/- 0.56, N = 3SE +/- 0.34, N = 3998.701001.14998.821. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000Min: 998.18 / Avg: 998.7 / Max: 999.32Min: 1000.08 / Avg: 1001.14 / Max: 1001.97Min: 998.34 / Avg: 998.82 / Max: 999.481. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single12390180270360450SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.46, N = 3431.80430.89430.671. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single12380160240320400Min: 431.74 / Avg: 431.8 / Max: 431.88Min: 430.67 / Avg: 430.89 / Max: 431.07Min: 430.07 / Avg: 430.67 / Max: 431.561. (CXX) g++ options: -O3 -pthread

Timed HMMer Search

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3125.60125.93125.731. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 125.5 / Avg: 125.6 / Max: 125.68Min: 125.63 / Avg: 125.93 / Max: 126.27Min: 125.63 / Avg: 125.73 / Max: 125.931. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 312.2912.3912.321. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 12.28 / Avg: 12.29 / Max: 12.31Min: 12.37 / Avg: 12.39 / Max: 12.43Min: 12.16 / Avg: 12.32 / Max: 12.441. (CC) gcc options: -std=c99 -O3 -lm -lpthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.610.611. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.61 / Avg: 0.62 / Max: 0.62Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.61 / Avg: 0.61 / Max: 0.621. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.380.381. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.38 / Avg: 0.38 / Max: 0.381. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.570.570.571. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.57 / Avg: 0.57 / Max: 0.571. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.13050.2610.39150.5220.6525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.580.580.581. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.581. (CXX) g++ options: -O3 -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.02381, N = 3SE +/- 0.02857, N = 3SE +/- 0.02221, N = 38.193388.190088.19661MIN: 7.88MIN: 7.88MIN: 7.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215Min: 8.15 / Avg: 8.19 / Max: 8.22Min: 8.13 / Avg: 8.19 / Max: 8.22Min: 8.16 / Avg: 8.2 / Max: 8.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.03, N = 3SE +/- 0.11, N = 15SE +/- 0.05, N = 312.0512.4012.14MIN: 11.82MIN: 11.95MIN: 11.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620Min: 11.99 / Avg: 12.05 / Max: 12.1Min: 12.1 / Avg: 12.4 / Max: 13.74Min: 12.05 / Avg: 12.14 / Max: 12.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.84321.68642.52963.37284.216SE +/- 0.00518, N = 3SE +/- 0.00660, N = 3SE +/- 0.00576, N = 33.745653.747403.74365MIN: 3.7MIN: 3.7MIN: 3.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.74 / Avg: 3.75 / Max: 3.75Min: 3.73 / Avg: 3.75 / Max: 3.76Min: 3.73 / Avg: 3.74 / Max: 3.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.70451.4092.11352.8183.5225SE +/- 0.01369, N = 3SE +/- 0.01563, N = 3SE +/- 0.01203, N = 33.124133.131223.13129MIN: 3.05MIN: 3.05MIN: 3.051. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.1 / Avg: 3.12 / Max: 3.14Min: 3.1 / Avg: 3.13 / Max: 3.15Min: 3.11 / Avg: 3.13 / Max: 3.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 319.9319.9220.10MIN: 19.79MIN: 19.81MIN: 19.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025Min: 19.86 / Avg: 19.93 / Max: 20.05Min: 19.86 / Avg: 19.92 / Max: 20.04Min: 20.04 / Avg: 20.1 / Max: 20.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 310.8710.9610.87MIN: 10.77MIN: 10.77MIN: 10.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215Min: 10.86 / Avg: 10.87 / Max: 10.87Min: 10.86 / Avg: 10.96 / Max: 11.12Min: 10.86 / Avg: 10.87 / Max: 10.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 314.7914.6914.70MIN: 14.53MIN: 14.48MIN: 14.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620Min: 14.77 / Avg: 14.79 / Max: 14.81Min: 14.67 / Avg: 14.69 / Max: 14.7Min: 14.67 / Avg: 14.7 / Max: 14.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123510152025SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 319.7519.7219.74MIN: 19.58MIN: 19.53MIN: 19.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123510152025Min: 19.67 / Avg: 19.75 / Max: 19.85Min: 19.64 / Avg: 19.72 / Max: 19.82Min: 19.67 / Avg: 19.74 / Max: 19.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 311.5111.4911.51MIN: 11.29MIN: 11.29MIN: 11.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 11.36 / Avg: 11.51 / Max: 11.71Min: 11.37 / Avg: 11.49 / Max: 11.71Min: 11.36 / Avg: 11.51 / Max: 11.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01345, N = 3SE +/- 0.01576, N = 3SE +/- 0.03000, N = 37.556547.561967.56918MIN: 7.49MIN: 7.48MIN: 7.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 7.53 / Avg: 7.56 / Max: 7.58Min: 7.54 / Avg: 7.56 / Max: 7.59Min: 7.53 / Avg: 7.57 / Max: 7.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12316003200480064008000SE +/- 2.11, N = 3SE +/- 17.04, N = 3SE +/- 7.55, N = 37475.487493.457484.24MIN: 7466.93MIN: 7459.2MIN: 7462.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12313002600390052006500Min: 7471.28 / Avg: 7475.48 / Max: 7477.95Min: 7468.75 / Avg: 7493.45 / Max: 7526.13Min: 7470.2 / Avg: 7484.24 / Max: 7496.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1239001800270036004500SE +/- 1.87, N = 3SE +/- 26.09, N = 3SE +/- 10.45, N = 33935.483968.983951.34MIN: 3930.35MIN: 3938.23MIN: 3936.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1237001400210028003500Min: 3933.07 / Avg: 3935.48 / Max: 3939.17Min: 3942.43 / Avg: 3968.98 / Max: 4021.17Min: 3939.79 / Avg: 3951.34 / Max: 3972.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12316003200480064008000SE +/- 3.96, N = 3SE +/- 3.45, N = 3SE +/- 1.75, N = 37465.287469.167470.61MIN: 7456.1MIN: 7457.9MIN: 7463.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12313002600390052006500Min: 7461.27 / Avg: 7465.28 / Max: 7473.2Min: 7462.29 / Avg: 7469.16 / Max: 7473.22Min: 7468.42 / Avg: 7470.61 / Max: 7474.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1239001800270036004500SE +/- 2.29, N = 3SE +/- 5.75, N = 3SE +/- 51.44, N = 53936.933957.023997.52MIN: 3929.59MIN: 3939.37MIN: 3936.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1237001400210028003500Min: 3932.75 / Avg: 3936.93 / Max: 3940.65Min: 3946.64 / Avg: 3957.02 / Max: 3966.51Min: 3940.97 / Avg: 3997.52 / Max: 4202.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1231.16122.32243.48364.64485.806SE +/- 0.02207, N = 3SE +/- 0.00982, N = 3SE +/- 0.00478, N = 35.160705.142195.15452MIN: 5.06MIN: 5.07MIN: 5.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 5.12 / Avg: 5.16 / Max: 5.19Min: 5.12 / Avg: 5.14 / Max: 5.16Min: 5.14 / Avg: 5.15 / Max: 5.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1232K4K6K8K10KSE +/- 471.82, N = 15SE +/- 16.81, N = 3SE +/- 1.86, N = 38018.557485.177471.28MIN: 7458.49MIN: 7458.88MIN: 7460.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12314002800420056007000Min: 7465.73 / Avg: 8018.55 / Max: 14570.9Min: 7464.65 / Avg: 7485.17 / Max: 7518.5Min: 7468.19 / Avg: 7471.28 / Max: 7474.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000SE +/- 2.64, N = 3SE +/- 0.62, N = 3SE +/- 10.37, N = 33936.663939.663950.78MIN: 3928.39MIN: 3934.75MIN: 3936.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1237001400210028003500Min: 3931.85 / Avg: 3936.66 / Max: 3940.94Min: 3938.65 / Avg: 3939.66 / Max: 3940.8Min: 3939.18 / Avg: 3950.78 / Max: 3971.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.00794, N = 3SE +/- 0.00555, N = 3SE +/- 0.00309, N = 37.063097.057217.06753MIN: 7.01MIN: 7.01MIN: 7.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1233691215Min: 7.05 / Avg: 7.06 / Max: 7.08Min: 7.05 / Avg: 7.06 / Max: 7.07Min: 7.06 / Avg: 7.07 / Max: 7.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KSE +/- 241.75, N = 3SE +/- 759.23, N = 3SE +/- 1229.10, N = 3139999.67139563.39141836.101. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KMin: 139713.59 / Avg: 139999.67 / Max: 140480.27Min: 138576.13 / Avg: 139563.39 / Max: 141056.16Min: 139409.25 / Avg: 141836.1 / Max: 143388.451. (CC) gcc options: -O2 -lrt" -lrt

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile123110220330440550SE +/- 0.42, N = 3SE +/- 0.87, N = 3SE +/- 0.30, N = 3503.14502.74504.48
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12390180270360450Min: 502.33 / Avg: 503.14 / Max: 503.77Min: 501.41 / Avg: 502.74 / Max: 504.37Min: 504.11 / Avg: 504.48 / Max: 505.06

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3128.18128.29128.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12320406080100Min: 128.05 / Avg: 128.18 / Max: 128.36Min: 128.24 / Avg: 128.29 / Max: 128.36Min: 128.18 / Avg: 128.21 / Max: 128.26

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12360120180240300SE +/- 0.34, N = 3SE +/- 0.42, N = 3SE +/- 3.50, N = 3278.21277.89284.27
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12350100150200250Min: 277.58 / Avg: 278.21 / Max: 278.75Min: 277.06 / Avg: 277.89 / Max: 278.48Min: 278.66 / Avg: 284.27 / Max: 290.71

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.13, N = 5SE +/- 0.12, N = 3SE +/- 0.05, N = 310.4310.5210.441. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 10.05 / Avg: 10.43 / Max: 10.83Min: 10.32 / Avg: 10.52 / Max: 10.72Min: 10.34 / Avg: 10.44 / Max: 10.521. Nodejs v10.19.0

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231632486480SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 373.6273.7373.811. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231428425670Min: 73.22 / Avg: 73.62 / Max: 74.09Min: 73.57 / Avg: 73.72 / Max: 73.81Min: 73.54 / Avg: 73.81 / Max: 74.251. (CC) gcc options: -O2 -ldl -lz -lpthread

Apache Siege

This is a test of the Apache web server performance being facilitated by the Siege web server benchmark program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 101237K14K21K28K35KSE +/- 40.05, N = 3SE +/- 0.00, N = 3SE +/- 290.84, N = 334682.1734482.7634134.691. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 101236K12K18K24K30KMin: 34602.07 / Avg: 34682.17 / Max: 34722.22Min: 34482.76 / Avg: 34482.76 / Max: 34482.76Min: 33557.05 / Avg: 34134.69 / Max: 34482.761. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 501238K16K24K32K40KSE +/- 40.19, N = 3SE +/- 265.33, N = 3SE +/- 60.12, N = 337184.0236795.6037055.531. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 501236K12K18K24K30KMin: 37119.52 / Avg: 37184.02 / Max: 37257.82Min: 36284.47 / Avg: 36795.6 / Max: 37174.72Min: 36982.25 / Avg: 37055.53 / Max: 37174.721. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 1001238K16K24K32K40KSE +/- 60.27, N = 3SE +/- 194.83, N = 3SE +/- 54.02, N = 336590.0336203.3735988.651. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 1001236K12K18K24K30KMin: 36469.73 / Avg: 36590.03 / Max: 36656.89Min: 35893.75 / Avg: 36203.37 / Max: 36563.07Min: 35880.88 / Avg: 35988.65 / Max: 36049.031. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2001238K16K24K32K40KSE +/- 319.00, N = 3SE +/- 155.19, N = 3SE +/- 52.60, N = 335475.1334911.4934952.971. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2001236K12K18K24K30KMin: 34891.84 / Avg: 35475.13 / Max: 35990.62Min: 34614.05 / Avg: 34911.49 / Max: 35137.04Min: 34849.28 / Avg: 34952.97 / Max: 35020.141. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2501238K16K24K32K40KSE +/- 192.35, N = 3SE +/- 75.75, N = 3SE +/- 68.02, N = 335071.7934308.0134647.101. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2501236K12K18K24K30KMin: 34693.31 / Avg: 35071.79 / Max: 35320.71Min: 34190.37 / Avg: 34308.01 / Max: 34449.5Min: 34511.32 / Avg: 34647.1 / Max: 34722.221. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 5001238K16K24K32K40KSE +/- 133.32, N = 3SE +/- 188.90, N = 3SE +/- 164.35, N = 335425.8734441.3734499.881. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 5001236K12K18K24K30KMin: 35162.71 / Avg: 35425.87 / Max: 35594.64Min: 34063.57 / Avg: 34441.37 / Max: 34632.61Min: 34177.72 / Avg: 34499.88 / Max: 34717.51. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123140K280K420K560K700KSE +/- 430.55, N = 3SE +/- 2761.65, N = 3SE +/- 834.21, N = 3651452648537651248
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123110K220K330K440K550KMin: 650893 / Avg: 651452.33 / Max: 652299Min: 643049 / Avg: 648537 / Max: 651821Min: 649864 / Avg: 651248.33 / Max: 652747

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric12310K20K30K40K50K4847448425484891. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm


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