2970wx dec

AMD Ryzen Threadripper 2970WX 24-Core testing with a Gigabyte X399 AORUS Gaming 7 (F12h BIOS) and Sapphire AMD Radeon RX 550 640SP / 560/560X 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 2012182-HA-2970WXDEC72
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Bioinformatics 2 Tests
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December 17 2020
  1 Hour, 28 Minutes
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December 17 2020
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December 18 2020
  1 Hour, 47 Minutes
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2970wx decProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads)Gigabyte X399 AORUS Gaming 7 (F12h BIOS)AMD 17h16GB120GB Corsair Force MP500Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz)Realtek ALC1220VA2431Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275Ubuntu 20.045.9.0-050900rc6daily20200926-generic (x86_64) 20200925GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)GCC 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: 0x800820dSecurity 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%101%101%102%102%CoremarkTimed MAFFT AlignmentTimed HMMer SearchoneDNNSQLite SpeedtestNode.js V8 Web Tooling Benchmarksimdjson

2970wx dechmmer: 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 Secondnode-web-tooling: sqlite-speedtest: Timed Time - Size 1,000123149.78912.4970.430.370.470.486.7648511.57822.935623.0445120.01014.195946.0772925.05168.510234.441696451.533594.176633.103597.141.441236484.813622.891.92621865092.2856999.3869.136150.53012.6190.430.370.470.486.7148011.98092.986453.0507619.97054.101655.9236625.18208.783124.430806560.673709.946653.013630.311.423626602.603702.621.90003846971.1302919.3669.248150.08912.3750.430.370.470.486.6309511.44542.915262.9422619.97584.192835.9799425.04478.387044.584626664.283646.056728.903668.581.444136641.533640.481.88404853443.8482809.3869.057OpenBenchmarking.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 +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 3149.79150.53150.091. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150Min: 149.51 / Avg: 149.79 / Max: 149.97Min: 150.39 / Avg: 150.53 / Max: 150.73Min: 149.67 / Avg: 150.09 / Max: 150.631. (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 +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 312.5012.6212.381. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 12.28 / Avg: 12.5 / Max: 12.65Min: 12.33 / Avg: 12.62 / Max: 12.81Min: 12.19 / Avg: 12.38 / Max: 12.591. (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: Kostya1230.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.431. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya12312345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.431. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.370.371. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.36 / Avg: 0.37 / Max: 0.371. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.10580.21160.31740.42320.529SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.470.470.471. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets12312345Min: 0.47 / Avg: 0.47 / Max: 0.48Min: 0.47 / Avg: 0.47 / Max: 0.47Min: 0.47 / Avg: 0.47 / Max: 0.471. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.481. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID12312345Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.481. (CXX) g++ options: -O3 -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.02229, N = 3SE +/- 0.02265, N = 3SE +/- 0.02491, N = 36.764856.714806.63095MIN: 6MIN: 5.95MIN: 5.841. (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: 6.72 / Avg: 6.76 / Max: 6.8Min: 6.68 / Avg: 6.71 / Max: 6.76Min: 6.58 / Avg: 6.63 / Max: 6.671. (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 +/- 0.04, N = 3SE +/- 0.11, N = 10SE +/- 0.18, N = 311.5811.9811.45MIN: 10.49MIN: 10.95MIN: 10.561. (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: 11.5 / Avg: 11.58 / Max: 11.62Min: 11.19 / Avg: 11.98 / Max: 12.19Min: 11.08 / Avg: 11.45 / Max: 11.651. (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: CPU1230.6721.3442.0162.6883.36SE +/- 0.02616, N = 3SE +/- 0.02712, N = 3SE +/- 0.02861, N = 32.935622.986452.91526MIN: 2.75MIN: 2.71MIN: 2.721. (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: 2.89 / Avg: 2.94 / Max: 2.98Min: 2.93 / Avg: 2.99 / Max: 3.02Min: 2.86 / Avg: 2.92 / Max: 2.961. (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: CPU1230.68641.37282.05922.74563.432SE +/- 0.02161, N = 3SE +/- 0.02875, N = 3SE +/- 0.00209, N = 33.044513.050762.94226MIN: 2.57MIN: 2.36MIN: 2.271. (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 / Avg: 3.04 / Max: 3.08Min: 2.99 / Avg: 3.05 / Max: 3.08Min: 2.94 / Avg: 2.94 / Max: 2.951. (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 +/- 0.02, N = 3SE +/- 0.02, N = 320.0119.9719.98MIN: 14.98MIN: 14.96MIN: 151. (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: 19.97 / Avg: 20.01 / Max: 20.06Min: 19.95 / Avg: 19.97 / Max: 20Min: 19.95 / Avg: 19.98 / Max: 20.021. (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: CPU1230.94411.88822.83233.77644.7205SE +/- 0.03827, N = 15SE +/- 0.05836, N = 4SE +/- 0.03652, N = 114.195944.101654.19283MIN: 3.57MIN: 3.57MIN: 3.571. (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: 3.76 / Avg: 4.2 / Max: 4.33Min: 3.93 / Avg: 4.1 / Max: 4.19Min: 3.89 / Avg: 4.19 / Max: 4.311. (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: CPU123246810SE +/- 0.07612, N = 5SE +/- 0.00734, N = 3SE +/- 0.00358, N = 36.077295.923665.97994MIN: 5.36MIN: 5.34MIN: 5.341. (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: 5.95 / Avg: 6.08 / Max: 6.37Min: 5.91 / Avg: 5.92 / Max: 5.94Min: 5.97 / Avg: 5.98 / Max: 5.991. (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 +/- 0.02, N = 3SE +/- 0.02, N = 325.0525.1825.04MIN: 23.37MIN: 24.06MIN: 23.831. (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: CPU123612182430Min: 25.02 / Avg: 25.05 / Max: 25.09Min: 25.13 / Avg: 25.18 / Max: 25.21Min: 25.02 / Avg: 25.04 / Max: 25.091. (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: CPU123246810SE +/- 0.10996, N = 5SE +/- 0.09475, N = 15SE +/- 0.11923, N = 48.510238.783128.38704MIN: 7.87MIN: 7.86MIN: 7.891. (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: CPU1233691215Min: 8.1 / Avg: 8.51 / Max: 8.74Min: 8.16 / Avg: 8.78 / Max: 9.47Min: 8.11 / Avg: 8.39 / Max: 8.651. (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: CPU1231.03152.0633.09454.1265.1575SE +/- 0.07485, N = 12SE +/- 0.05888, N = 3SE +/- 0.13249, N = 154.441694.430804.58462MIN: 4.05MIN: 4.05MIN: 4.051. (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: 4.17 / Avg: 4.44 / Max: 5.05Min: 4.35 / Avg: 4.43 / Max: 4.54Min: 4.16 / Avg: 4.58 / Max: 5.691. (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: CPU12314002800420056007000SE +/- 93.51, N = 3SE +/- 78.96, N = 3SE +/- 72.71, N = 156451.536560.676664.28MIN: 6172.96MIN: 6388.99MIN: 6146.121. (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: CPU12312002400360048006000Min: 6332.28 / Avg: 6451.53 / Max: 6635.92Min: 6472.7 / Avg: 6560.67 / Max: 6718.23Min: 6247.75 / Avg: 6664.28 / Max: 7538.371. (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: f32 - Engine: CPU1238001600240032004000SE +/- 46.45, N = 5SE +/- 44.18, N = 3SE +/- 46.32, N = 33594.173709.943646.05MIN: 3455.7MIN: 3573.95MIN: 3532.551. (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: CPU1236001200180024003000Min: 3514.63 / Avg: 3594.17 / Max: 3772.02Min: 3644.37 / Avg: 3709.94 / Max: 3794.01Min: 3562.93 / Avg: 3646.05 / Max: 3723.051. (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: CPU12314002800420056007000SE +/- 93.02, N = 12SE +/- 46.42, N = 3SE +/- 165.28, N = 156633.106653.016728.90MIN: 5847.18MIN: 6534.78MIN: 6041.821. (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: CPU12312002400360048006000Min: 6210.67 / Avg: 6633.1 / Max: 7459.42Min: 6587.21 / Avg: 6653.01 / Max: 6742.64Min: 6078.13 / Avg: 6728.9 / Max: 8928.471. (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: CPU1238001600240032004000SE +/- 18.09, N = 3SE +/- 25.42, N = 3SE +/- 54.82, N = 33597.143630.313668.58MIN: 3482.46MIN: 3562.81MIN: 3467.021. (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: CPU1236001200180024003000Min: 3561.13 / Avg: 3597.14 / Max: 3618.29Min: 3604.36 / Avg: 3630.31 / Max: 3681.15Min: 3559 / Avg: 3668.58 / Max: 3726.281. (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: CPU1230.32490.64980.97471.29961.6245SE +/- 0.02698, N = 14SE +/- 0.00296, N = 3SE +/- 0.00890, N = 31.441231.423621.44413MIN: 1.19MIN: 1.22MIN: 1.231. (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: 1.38 / Avg: 1.44 / Max: 1.79Min: 1.42 / Avg: 1.42 / Max: 1.43Min: 1.43 / Avg: 1.44 / Max: 1.461. (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: CPU12314002800420056007000SE +/- 90.37, N = 3SE +/- 23.47, N = 3SE +/- 25.84, N = 36484.816602.606641.53MIN: 6295.23MIN: 6514.96MIN: 6546.951. (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: CPU12312002400360048006000Min: 6333.43 / Avg: 6484.81 / Max: 6646.02Min: 6558.91 / Avg: 6602.6 / Max: 6639.3Min: 6605.62 / Avg: 6641.53 / Max: 6691.671. (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 +/- 38.47, N = 3SE +/- 12.34, N = 3SE +/- 32.17, N = 33622.893702.623640.48MIN: 3505.26MIN: 3657.6MIN: 3497.091. (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: bf16bf16bf16 - Engine: CPU1236001200180024003000Min: 3546.11 / Avg: 3622.89 / Max: 3665.54Min: 3688.13 / Avg: 3702.62 / Max: 3727.17Min: 3591.03 / Avg: 3640.48 / Max: 3700.851. (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: CPU1230.43340.86681.30021.73362.167SE +/- 0.01123, N = 3SE +/- 0.02536, N = 5SE +/- 0.02268, N = 61.926211.900031.88404MIN: 1.69MIN: 1.54MIN: 1.551. (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: 1.91 / Avg: 1.93 / Max: 1.95Min: 1.8 / Avg: 1.9 / Max: 1.93Min: 1.78 / Avg: 1.88 / Max: 1.931. (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 Second123200K400K600K800K1000KSE +/- 9940.03, N = 3SE +/- 6878.65, N = 3SE +/- 5068.60, N = 3865092.29846971.13853443.851. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second123150K300K450K600K750KMin: 849369.61 / Avg: 865092.29 / Max: 883489.78Min: 835509.14 / Avg: 846971.13 / Max: 859291.08Min: 846374.26 / Avg: 853443.85 / Max: 863270.541. (CC) gcc options: -O2 -lrt" -lrt

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 +/- 0.07, N = 3SE +/- 0.07, N = 14SE +/- 0.10, N = 39.389.369.381. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 9.26 / Avg: 9.38 / Max: 9.5Min: 8.6 / Avg: 9.36 / Max: 9.64Min: 9.22 / Avg: 9.38 / Max: 9.561. 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 1,0001231530456075SE +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 369.1469.2569.061. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231326395265Min: 68.71 / Avg: 69.14 / Max: 69.66Min: 69.02 / Avg: 69.25 / Max: 69.57Min: 68.56 / Avg: 69.06 / Max: 69.451. (CC) gcc options: -O2 -ldl -lz -lpthread