3950x dec

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (3103 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012157-HA-3950XDEC971
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Bioinformatics 2 Tests
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  1 Hour, 31 Minutes
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3950x decProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VII HERO (WI-FI) (3103 BIOS)AMD Starship/Matisse16GBSamsung SSD 970 EVO 250GBSapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz)AMD Ellesmere HDMI AudioVA2431Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/acUbuntu 20.045.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)1.2.128GCC 9.3.0ext41920x1080OpenBenchmarking.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: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021Security Details- 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 AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%100%101%101%102%PHPBenchTimed FFmpeg CompilationoneDNNBRL-CADCoremarkTimed Clash CompilationNode.js V8 Web Tooling BenchmarkasmFishTimed MAFFT AlignmentTimed HMMer Search

3950x dechmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAonednn: 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 Secondasmfish: 1024 Hash Memory, 26 Depthbuild-clash: Time To Compilebuild-ffmpeg: Time To Compilenode-web-tooling: phpbench: PHP Benchmark Suitebrl-cad: VGR Performance Metric123115.1618.8584.7027711.43391.352800.79072420.66602.893324.3848223.22754.718952.657515304.222710.915311.922733.870.7142245327.852710.371.47960713404.98306451966295366.19234.33011.96705881249006115.1818.8634.7165011.43501.351610.78608420.69962.892904.3627023.27994.235412.655095316.182711.835322.962706.160.7120635323.432709.231.48291714327.50079551820731367.00334.75511.93693793249959115.3088.8374.7046311.43721.352690.78487520.74792.891034.3779123.25904.265862.655545282.142721.005279.632714.910.7183055297.882716.591.47932716302.44797151975038366.17234.18911.97695212250105OpenBenchmarking.org

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 +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3115.16115.18115.311. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 114.93 / Avg: 115.16 / Max: 115.45Min: 115.1 / Avg: 115.18 / Max: 115.24Min: 115.26 / Avg: 115.31 / Max: 115.391. (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 RNA123246810SE +/- 0.028, N = 3SE +/- 0.084, N = 3SE +/- 0.029, N = 38.8588.8638.8371. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 8.82 / Avg: 8.86 / Max: 8.91Min: 8.7 / Avg: 8.86 / Max: 8.99Min: 8.78 / Avg: 8.84 / Max: 8.881. (CC) gcc options: -std=c99 -O3 -lm -lpthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1231.06122.12243.18364.24485.306SE +/- 0.00164, N = 3SE +/- 0.01087, N = 3SE +/- 0.00569, N = 34.702774.716504.70463MIN: 4.48MIN: 4.5MIN: 4.471. (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: CPU123246810Min: 4.7 / Avg: 4.7 / Max: 4.71Min: 4.7 / Avg: 4.72 / Max: 4.74Min: 4.69 / Avg: 4.7 / Max: 4.711. (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 +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 311.4311.4411.44MIN: 11.32MIN: 11.31MIN: 11.331. (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: CPU1233691215Min: 11.43 / Avg: 11.43 / Max: 11.44Min: 11.4 / Avg: 11.43 / Max: 11.46Min: 11.42 / Avg: 11.44 / Max: 11.461. (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: CPU1230.30440.60880.91321.21761.522SE +/- 0.00224, N = 3SE +/- 0.00188, N = 3SE +/- 0.00141, N = 31.352801.351611.35269MIN: 1.32MIN: 1.32MIN: 1.321. (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: 1.35 / Avg: 1.35 / Max: 1.36Min: 1.35 / Avg: 1.35 / Max: 1.35Min: 1.35 / Avg: 1.35 / Max: 1.351. (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: CPU1230.17790.35580.53370.71160.8895SE +/- 0.005023, N = 3SE +/- 0.004136, N = 3SE +/- 0.004562, N = 30.7907240.7860840.784875MIN: 0.74MIN: 0.73MIN: 0.731. (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: 0.78 / Avg: 0.79 / Max: 0.8Min: 0.78 / Avg: 0.79 / Max: 0.79Min: 0.78 / Avg: 0.78 / Max: 0.791. (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 +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 320.6720.7020.75MIN: 20.07MIN: 20.31MIN: 20.091. (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: 20.63 / Avg: 20.67 / Max: 20.74Min: 20.62 / Avg: 20.7 / Max: 20.82Min: 20.68 / Avg: 20.75 / Max: 20.791. (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: CPU1230.6511.3021.9532.6043.255SE +/- 0.00694, N = 3SE +/- 0.00273, N = 3SE +/- 0.00445, N = 32.893322.892902.89103MIN: 2.83MIN: 2.83MIN: 2.831. (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: CPU123246810Min: 2.89 / Avg: 2.89 / Max: 2.91Min: 2.89 / Avg: 2.89 / Max: 2.9Min: 2.88 / Avg: 2.89 / Max: 2.91. (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: CPU1230.98661.97322.95983.94644.933SE +/- 0.01858, N = 3SE +/- 0.01332, N = 3SE +/- 0.01020, N = 34.384824.362704.37791MIN: 4.27MIN: 4.25MIN: 4.261. (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: CPU123246810Min: 4.35 / Avg: 4.38 / Max: 4.4Min: 4.34 / Avg: 4.36 / Max: 4.38Min: 4.36 / Avg: 4.38 / Max: 4.41. (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: CPU123612182430SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 323.2323.2823.26MIN: 22.8MIN: 22.87MIN: 22.871. (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: 23.2 / Avg: 23.23 / Max: 23.27Min: 23.22 / Avg: 23.28 / Max: 23.35Min: 23.22 / Avg: 23.26 / Max: 23.311. (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: CPU1231.06182.12363.18544.24725.309SE +/- 0.44661, N = 15SE +/- 0.01173, N = 3SE +/- 0.03504, N = 34.718954.235414.26586MIN: 4.11MIN: 4.11MIN: 4.111. (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: CPU123246810Min: 4.23 / Avg: 4.72 / Max: 10.97Min: 4.21 / Avg: 4.24 / Max: 4.25Min: 4.22 / Avg: 4.27 / Max: 4.331. (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: CPU1230.59791.19581.79372.39162.9895SE +/- 0.00692, N = 3SE +/- 0.00062, N = 3SE +/- 0.00049, N = 32.657512.655092.65554MIN: 2.57MIN: 2.57MIN: 2.581. (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: CPU123246810Min: 2.65 / Avg: 2.66 / Max: 2.67Min: 2.65 / Avg: 2.66 / Max: 2.66Min: 2.65 / Avg: 2.66 / Max: 2.661. (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: CPU12311002200330044005500SE +/- 18.58, N = 3SE +/- 16.28, N = 3SE +/- 6.44, N = 35304.225316.185282.14MIN: 5245.38MIN: 5237.81MIN: 5224.51. (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: CPU1239001800270036004500Min: 5276.51 / Avg: 5304.22 / Max: 5339.53Min: 5288.01 / Avg: 5316.18 / Max: 5344.42Min: 5269.38 / Avg: 5282.14 / Max: 5290.11. (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: CPU1236001200180024003000SE +/- 0.37, N = 3SE +/- 5.17, N = 3SE +/- 3.18, N = 32710.912711.832721.00MIN: 2691.88MIN: 2680.26MIN: 2701.561. (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: CPU1235001000150020002500Min: 2710.34 / Avg: 2710.91 / Max: 2711.6Min: 2701.71 / Avg: 2711.83 / Max: 2718.73Min: 2715.49 / Avg: 2721 / Max: 2726.491. (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: CPU12311002200330044005500SE +/- 16.55, N = 3SE +/- 7.33, N = 3SE +/- 17.92, N = 35311.925322.965279.63MIN: 5240.85MIN: 5257.18MIN: 5205.191. (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: CPU1239001800270036004500Min: 5287.3 / Avg: 5311.92 / Max: 5343.39Min: 5312.48 / Avg: 5322.96 / Max: 5337.08Min: 5256.39 / Avg: 5279.63 / Max: 5314.871. (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: CPU1236001200180024003000SE +/- 25.75, N = 3SE +/- 3.71, N = 3SE +/- 2.74, N = 32733.872706.162714.91MIN: 2687.15MIN: 2683.86MIN: 2698.951. (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: CPU1235001000150020002500Min: 2701.88 / Avg: 2733.87 / Max: 2784.82Min: 2700.48 / Avg: 2706.16 / Max: 2713.14Min: 2711.88 / Avg: 2714.91 / Max: 2720.391. (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: CPU1230.16160.32320.48480.64640.808SE +/- 0.000810, N = 3SE +/- 0.001576, N = 3SE +/- 0.001157, N = 30.7142240.7120630.718305MIN: 0.69MIN: 0.69MIN: 0.691. (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: CPU123246810Min: 0.71 / Avg: 0.71 / Max: 0.72Min: 0.71 / Avg: 0.71 / Max: 0.71Min: 0.72 / Avg: 0.72 / Max: 0.721. (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: CPU12311002200330044005500SE +/- 39.67, N = 3SE +/- 15.09, N = 3SE +/- 20.74, N = 35327.855323.435297.88MIN: 5237.75MIN: 5262.63MIN: 5226.981. (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: CPU1239001800270036004500Min: 5277.53 / Avg: 5327.85 / Max: 5406.13Min: 5293.39 / Avg: 5323.43 / Max: 5340.96Min: 5261.88 / Avg: 5297.88 / Max: 5333.741. (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: CPU1236001200180024003000SE +/- 2.36, N = 3SE +/- 3.30, N = 3SE +/- 8.61, N = 32710.372709.232716.59MIN: 2688.35MIN: 2684.34MIN: 2691.781. (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: CPU1235001000150020002500Min: 2705.66 / Avg: 2710.37 / Max: 2713.1Min: 2702.86 / Avg: 2709.23 / Max: 2713.93Min: 2701.7 / Avg: 2716.59 / Max: 2731.511. (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: CPU1230.33370.66741.00111.33481.6685SE +/- 0.00272, N = 3SE +/- 0.00248, N = 3SE +/- 0.00325, N = 31.479601.482911.47932MIN: 1.44MIN: 1.43MIN: 1.441. (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: CPU123246810Min: 1.48 / Avg: 1.48 / Max: 1.49Min: 1.48 / Avg: 1.48 / Max: 1.49Min: 1.47 / Avg: 1.48 / Max: 1.491. (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 Second123150K300K450K600K750KSE +/- 2137.78, N = 3SE +/- 2327.47, N = 3SE +/- 2555.39, N = 3713404.98714327.50716302.451. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second123120K240K360K480K600KMin: 710689.96 / Avg: 713404.98 / Max: 717622.87Min: 709717.96 / Avg: 714327.5 / Max: 717193.98Min: 713197.88 / Avg: 716302.45 / Max: 721370.61. (CC) gcc options: -O2 -lrt" -lrt

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth12311M22M33M44M55MSE +/- 324144.28, N = 3SE +/- 254669.84, N = 3SE +/- 601509.90, N = 3519662955182073151975038
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1239M18M27M36M45MMin: 51609839 / Avg: 51966295.33 / Max: 52613472Min: 51369985 / Avg: 51820731 / Max: 52251509Min: 51272693 / Avg: 51975038.33 / Max: 53172069

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 Compile12380160240320400SE +/- 0.54, N = 3SE +/- 0.52, N = 3SE +/- 1.11, N = 3366.19367.00366.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12370140210280350Min: 365.21 / Avg: 366.19 / Max: 367.07Min: 366 / Avg: 367 / Max: 367.75Min: 364.8 / Avg: 366.17 / Max: 368.37

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 Compile123816243240SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 334.3334.7634.19
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123714212835Min: 33.99 / Avg: 34.33 / Max: 34.62Min: 34.48 / Avg: 34.76 / Max: 34.9Min: 34.13 / Avg: 34.19 / Max: 34.22

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 +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 311.9611.9311.971. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 11.88 / Avg: 11.96 / Max: 12.03Min: 11.67 / Avg: 11.93 / Max: 12.19Min: 11.84 / Avg: 11.97 / Max: 12.051. Nodejs v10.19.0

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 Suite123150K300K450K600K750KSE +/- 10502.27, N = 4SE +/- 6513.43, N = 3SE +/- 5597.47, N = 3705881693793695212
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123120K240K360K480K600KMin: 688179 / Avg: 705881 / Max: 735402Min: 682961 / Avg: 693793 / Max: 705476Min: 688539 / Avg: 695212 / Max: 706333

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 Metric12350K100K150K200K250K2490062499592501051. (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