Core i3 10100 Okt

Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB 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 2010035-FI-COREI310132
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Linux 5.9-rc1
October 02 2020
  11 Hours, 2 Minutes
Linux 5.9-rc7
October 02 2020
  11 Hours, 26 Minutes
Linux 5.9-rc7 + mitigations=off
October 03 2020
  11 Hours, 31 Minutes
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Core i3 10100 OktOpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Gigabyte B460M DS3H (F2 BIOS)Intel Device 9b6316GB500GB Western Digital WDS500G3X0C-00SJG0Gigabyte Intel UHD 630 3GB (1100MHz)Realtek ALC887-VDG237HLRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 202008185.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore I3 10100 Okt BenchmarksSystem Logs- --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,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Python 3.8.2- Linux 5.9-rc1: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.9-rc7: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.9-rc7 + mitigations=off: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=offResult OverviewPhoronix Test Suite100%103%105%108%111%KripkeKeyDBGLmark2eSpeak-NG Speech EngineVkFFTPostgreSQL pgbenchTimed MAFFT AlignmentLeelaChessZeroLibRawFFTEAOM AV1Apache CouchDBLAMMPS Molecular Dynamics SimulatorGROMACSTNNMobile Neural NetworkDolfynWebP Image EncodeBYTE Unix BenchmarkMlpack BenchmarkRNNoiseSystem GZIP DecompressionMonte Carlo Simulations of Ionised NebulaeNAMDMPVInfluxDBNCNNZstd CompressionHierarchical INTegrationTimed HMMer SearchCaffeTimed LLVM CompilationRealSR-NCNNGPAW

Core i3 10100 Oktpgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencykripke: pgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 50 - Read Writepgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 1 - Read Only - Average Latencykeydb: glmark2: 1920 x 1080espeak: Text-To-Speech Synthesispgbench: 1 - 100 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencylczero: Eigenpgbench: 1 - 1 - Read Onlyaom-av1: Speed 8 Realtimepgbench: 100 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlyvkfft: ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - shufflenet-v2mafft: Multiple Sequence Alignment - LSU RNApgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencywebp: Quality 100, Losslesspgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writepgbench: 100 - 50 - Read Only - Average Latencypgbench: 1 - 100 - Read Write - Average Latencylibraw: Post-Processing Benchmarkaom-av1: Speed 6 Two-Passpgbench: 1 - 100 - Read Writeffte: N=256, 3D Complex FFT Routinepgbench: 100 - 50 - Read Onlymnn: SqueezeNetV1.0lammps: Rhodopsin Proteincouchdb: 100 - 1000 - 24caffe: AlexNet - CPU - 200aom-av1: Speed 6 Realtimecaffe: AlexNet - CPU - 100mlpack: scikit_qdaaom-av1: Speed 4 Two-Passmnn: resnet-v2-50gromacs: Water Benchmarktnn: CPU - MobileNet v2webp: Quality 100, Lossless, Highest Compressionmlpack: scikit_icancnn: CPU - shufflenet-v2compress-zstd: 19dolfyn: Computational Fluid Dynamicsmnn: inception-v3mlpack: scikit_linearridgeregressioninfluxdb: 4 - 10000 - 2,5000,1 - 10000ncnn: Vulkan GPU - vgg16build-llvm: Time To Compilempv: Big Buck Bunny Sunflower 1080p - Software Onlywebp: Quality 100, Highest Compressionpgbench: 100 - 100 - Read Onlylczero: BLASmlpack: scikit_svmmnn: MobileNetV2_224pgbench: 100 - 100 - Read Only - Average Latencybyte: Dhrystone 2webp: Quality 100ncnn: CPU-v2-v2 - mobilenet-v2mocassin: Dust 2D tau100.0ncnn: Vulkan GPU - mobilenetcaffe: GoogleNet - CPU - 200rnnoise: compress-zstd: 3caffe: GoogleNet - CPU - 100system-decompress-gzip: ncnn: CPU - vgg16namd: ATPase Simulation - 327,506 Atomsinfluxdb: 1024 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000realsr-ncnn: 4x - Nomnn: mobilenet-v1-1.0ncnn: CPU - efficientnet-b0ncnn: Vulkan GPU-v2-v2 - mobilenet-v2mpv: Big Buck Bunny Sunflower 4K - Software Onlyncnn: CPU - squeezenethint: FLOATncnn: CPU - mobilenetncnn: CPU - alexnetncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - yolov4-tinyncnn: CPU - resnet18ncnn: CPU - googlenetncnn: CPU - resnet50gpaw: Carbon Nanotubewebp: Defaultncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - efficientnet-b0tnn: CPU - SqueezeNet v1.1ncnn: Vulkan GPU - resnet18hmmer: Pfam Database Searchncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU-v3-v3 - mobilenet-v3aom-av1: Speed 0 Two-Passncnn: Vulkan GPU - blazefaceLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off134827.420112319330.5381857142083.5200.041517377.4745229.9481198630.8355192829340.03246980.0350.382130872111344.478.7111.613244820.42717.7450.49320270.44845.95531.963.30217716781.8136768481117337.9893.153147.19411937316.8259712121.442.0643.3450.522331.02443.61480.704.1815.119.25549.01110.701134964.5200.891378.968214.317.17710713122925.524.9140.93442635852.82.3868.0327138.2628931325.1401631.11446732.941111.733.434921166424.51155511.6258.6886.32410.6612.4382.5125.70421628623.9797030.3524.3143.8279.9621.7622.0445.93993.4631.54634.9674.2042.0525.68313.08330.26110.40912.6213.741.676.356.860.242.82121288.248104498370.5871704130473.8330.040510641.7947431.2751222110.8205302824139.77248420.0350.387129303110943.408.6411.387239920.84417.4210.50219910.44546.21231.823.28216516977.2103672451124807.8853.192145.54512077616.8360393121.732.0643.0080.518329.09743.35780.114.2015.119.38048.70110.671131288.1200.921372.337215.247.20210673122925.534.8950.93742736377.32.3778.0627138.2029037225.1721631.61450932.947111.433.426531169460.91154840.1258.0946.31910.6612.4482.3825.69422078542.7061630.3924.3043.8480.0521.7522.0345.89992.7281.54734.9474.1842.0725.67312.99830.27110.43812.6213.741.676.356.860.242.72121648.225101235070.5831716130473.8330.039535529.4547330.2541246440.8045132913238.81254710.0340.376133033108243.918.8311.380241020.75017.4800.49620170.44146.67131.473.25214517027.5138180451132797.9343.172145.44112010016.6460061120.362.0443.0890.519331.54443.29580.224.1715.219.25948.83010.731128771.5199.921373.732215.327.16910665122825.424.9160.93842562814.72.3828.0527038.3429005425.2261626.41450012.949111.703.425701167644.91152691.2258.5106.33110.6412.4282.5125.73422214625.0052930.3624.2843.7980.0021.7722.0245.93992.9421.54734.9474.1642.0725.68312.97730.26110.43712.6213.741.676.356.860.242.67OpenBenchmarking.org

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3K6K9K12K15KSE +/- 16.47, N = 3SE +/- 10.04, N = 3SE +/- 46.82, N = 31348212128121641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2K4K6K8K10KMin: 13462.86 / Avg: 13482.27 / Max: 13515.02Min: 12109.56 / Avg: 12128.13 / Max: 12144.05Min: 12074.62 / Avg: 12163.68 / Max: 12233.241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.010, N = 3SE +/- 0.007, N = 3SE +/- 0.032, N = 37.4208.2488.2251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 7.4 / Avg: 7.42 / Max: 7.43Min: 8.24 / Avg: 8.25 / Max: 8.26Min: 8.18 / Avg: 8.23 / Max: 8.291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Kripke

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

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2M4M6M8M10MSE +/- 98710.99, N = 3SE +/- 60699.02, N = 3SE +/- 54228.54, N = 31123193310449837101235071. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2M4M6M8M10MMin: 11131970 / Avg: 11231933.33 / Max: 11429350Min: 10348420 / Avg: 10449836.67 / Max: 10558330Min: 10031130 / Avg: 10123506.67 / Max: 102189101. (CXX) g++ options: -O3 -fopenmp

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.13210.26420.39630.52840.6605SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.5380.5870.5831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.58 / Avg: 0.59 / Max: 0.59Min: 0.58 / Avg: 0.58 / Max: 0.591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off400800120016002000SE +/- 2.63, N = 3SE +/- 6.30, N = 3SE +/- 4.47, N = 31857170417161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30060090012001500Min: 1853.88 / Avg: 1857.41 / Max: 1862.56Min: 1694.67 / Avg: 1704.33 / Max: 1716.17Min: 1707.23 / Avg: 1715.69 / Max: 1722.411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3K6K9K12K15KSE +/- 49.30, N = 3SE +/- 42.18, N = 3SE +/- 83.62, N = 31420813047130471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2K4K6K8K10KMin: 14111.34 / Avg: 14207.82 / Max: 14273.7Min: 12992.33 / Avg: 13046.5 / Max: 13129.59Min: 12919.1 / Avg: 13046.55 / Max: 13204.061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.86241.72482.58723.44964.312SE +/- 0.012, N = 3SE +/- 0.012, N = 3SE +/- 0.025, N = 33.5203.8333.8331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 3.5 / Avg: 3.52 / Max: 3.54Min: 3.81 / Avg: 3.83 / Max: 3.85Min: 3.79 / Avg: 3.83 / Max: 3.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.00920.01840.02760.03680.046SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0410.0400.0391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off12345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off110K220K330K440K550KSE +/- 499.31, N = 3SE +/- 2349.50, N = 3SE +/- 837.19, N = 3517377.47510641.79535529.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off90K180K270K360K450KMin: 516435.56 / Avg: 517377.47 / Max: 518135.72Min: 506198.54 / Avg: 510641.79 / Max: 514187.67Min: 534203.89 / Avg: 535529.45 / Max: 537078.131. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off100200300400500452474473

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835SE +/- 0.12, N = 4SE +/- 0.04, N = 4SE +/- 0.09, N = 429.9531.2830.251. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835Min: 29.6 / Avg: 29.95 / Max: 30.11Min: 31.19 / Avg: 31.28 / Max: 31.36Min: 30.02 / Avg: 30.25 / Max: 30.431. (CC) gcc options: -O2 -std=c99

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30K60K90K120K150KSE +/- 1891.40, N = 3SE +/- 1149.67, N = 15SE +/- 1544.88, N = 151198631222111246441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KMin: 117259.15 / Avg: 119862.64 / Max: 123541.04Min: 117601.6 / Avg: 122210.84 / Max: 133283.49Min: 115243.35 / Avg: 124644.15 / Max: 133673.411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.18790.37580.56370.75160.9395SE +/- 0.013, N = 3SE +/- 0.007, N = 15SE +/- 0.010, N = 150.8350.8200.8041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 0.81 / Avg: 0.84 / Max: 0.85Min: 0.75 / Avg: 0.82 / Max: 0.85Min: 0.75 / Avg: 0.8 / Max: 0.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off110220330440550SE +/- 4.10, N = 3SE +/- 0.67, N = 3SE +/- 2.65, N = 35195305131. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off90180270360450Min: 513 / Avg: 519.33 / Max: 527Min: 529 / Avg: 530.33 / Max: 531Min: 508 / Avg: 513 / Max: 5171. (CXX) g++ options: -flto -pthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off6K12K18K24K30KSE +/- 109.30, N = 3SE +/- 11.07, N = 3SE +/- 183.92, N = 32829328241291321. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off5K10K15K20K25KMin: 28151.28 / Avg: 28292.9 / Max: 28507.92Min: 28218.7 / Avg: 28240.63 / Max: 28254.22Min: 28881.73 / Avg: 29132.18 / Max: 29490.721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 340.0339.7738.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off816243240Min: 40.01 / Avg: 40.03 / Max: 40.05Min: 39.72 / Avg: 39.77 / Max: 39.82Min: 38.73 / Avg: 38.81 / Max: 38.881. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off5K10K15K20K25KSE +/- 38.89, N = 3SE +/- 160.82, N = 3SE +/- 67.75, N = 32469824842254711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off4K8K12K16K20KMin: 24657.46 / Avg: 24697.51 / Max: 24775.28Min: 24576.72 / Avg: 24842.43 / Max: 25132.24Min: 25394.85 / Avg: 25471.23 / Max: 25606.351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.00790.01580.02370.03160.0395SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0350.0350.0341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off12345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.03 / Avg: 0.03 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.08710.17420.26130.34840.4355SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 30.3820.3870.3761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off12345Min: 0.37 / Avg: 0.38 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.37 / Avg: 0.38 / Max: 0.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30K60K90K120K150KSE +/- 1982.14, N = 3SE +/- 380.85, N = 3SE +/- 1611.71, N = 31308721293031330331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KMin: 128860.87 / Avg: 130871.85 / Max: 134835.99Min: 128553.04 / Avg: 129303.48 / Max: 129791.68Min: 130017.86 / Avg: 133032.61 / Max: 135528.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 2020-09-29Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2004006008001000SE +/- 1.00, N = 3SE +/- 0.33, N = 3111311091082
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2004006008001000Min: 1112 / Avg: 1113 / Max: 1115Min: 1108 / Avg: 1108.67 / Max: 1109

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.35, N = 344.4743.4043.91MIN: 43.12 / MAX: 47.28MIN: 42.14 / MAX: 45.48MIN: 42.42 / MAX: 47.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645Min: 44.16 / Avg: 44.47 / Max: 44.83Min: 43.22 / Avg: 43.4 / Max: 43.58Min: 43.48 / Avg: 43.91 / Max: 44.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.21, N = 38.718.648.83MIN: 7.96 / MAX: 8.98MIN: 8.3 / MAX: 8.88MIN: 8.49 / MAX: 9.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 8.6 / Avg: 8.71 / Max: 8.85Min: 8.63 / Avg: 8.64 / Max: 8.65Min: 8.61 / Avg: 8.83 / Max: 9.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 RNALinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 311.6111.3911.381. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 11.41 / Avg: 11.61 / Max: 11.82Min: 11.33 / Avg: 11.39 / Max: 11.43Min: 11.3 / Avg: 11.38 / Max: 11.461. (CC) gcc options: -std=c99 -O3 -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off5001000150020002500SE +/- 2.55, N = 3SE +/- 0.43, N = 3SE +/- 1.32, N = 32448239924101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off400800120016002000Min: 2445.08 / Avg: 2447.98 / Max: 2453.06Min: 2398.27 / Avg: 2398.98 / Max: 2399.75Min: 2407.36 / Avg: 2409.88 / Max: 2411.81. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 320.4320.8420.751. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025Min: 20.39 / Avg: 20.43 / Max: 20.45Min: 20.84 / Avg: 20.84 / Max: 20.85Min: 20.73 / Avg: 20.75 / Max: 20.771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 317.7517.4217.481. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620Min: 17.65 / Avg: 17.75 / Max: 17.91Min: 17.36 / Avg: 17.42 / Max: 17.51Min: 17.41 / Avg: 17.48 / Max: 17.551. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.1130.2260.3390.4520.565SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.4930.5020.4961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 0.49 / Avg: 0.49 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.49 / Avg: 0.5 / Max: 0.51. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off400800120016002000SE +/- 8.21, N = 3SE +/- 2.10, N = 3SE +/- 3.53, N = 32027199120171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off400800120016002000Min: 2010.37 / Avg: 2026.6 / Max: 2036.83Min: 1986.71 / Avg: 1990.76 / Max: 1993.75Min: 2012.77 / Avg: 2016.78 / Max: 2023.821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.10080.20160.30240.40320.504SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4480.4450.4411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off12345Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.44 / Avg: 0.44 / Max: 0.45Min: 0.44 / Avg: 0.44 / Max: 0.441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1122334455SE +/- 0.13, N = 3SE +/- 0.29, N = 3SE +/- 0.53, N = 745.9646.2146.671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050Min: 45.7 / Avg: 45.96 / Max: 46.11Min: 45.84 / Avg: 46.21 / Max: 46.78Min: 45.58 / Avg: 46.67 / Max: 49.031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 331.9631.8231.471. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835Min: 31.88 / Avg: 31.96 / Max: 32.03Min: 31.69 / Avg: 31.82 / Max: 31.96Min: 31.42 / Avg: 31.47 / Max: 31.531. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.74251.4852.22752.973.7125SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.303.283.251. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 3.29 / Avg: 3.3 / Max: 3.31Min: 3.28 / Avg: 3.28 / Max: 3.28Min: 3.24 / Avg: 3.25 / Max: 3.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off5001000150020002500SE +/- 6.25, N = 3SE +/- 13.31, N = 3SE +/- 23.77, N = 72177216521451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off400800120016002000Min: 2169.7 / Avg: 2176.94 / Max: 2189.39Min: 2138.94 / Avg: 2165.1 / Max: 2182.47Min: 2041 / Avg: 2145.18 / Max: 2194.751. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off4K8K12K16K20KSE +/- 85.45, N = 3SE +/- 38.47, N = 3SE +/- 47.52, N = 316781.8116977.2117027.511. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3K6K9K12K15KMin: 16619.12 / Avg: 16781.81 / Max: 16908.49Min: 16924.09 / Avg: 16977.21 / Max: 17051.97Min: 16936.63 / Avg: 17027.51 / Max: 17097.061. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KSE +/- 344.72, N = 3SE +/- 237.20, N = 3SE +/- 173.39, N = 31117331124801132791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KMin: 111314.82 / Avg: 111733.17 / Max: 112416.92Min: 112083.22 / Avg: 112480.28 / Max: 112903.63Min: 113028.51 / Avg: 113278.63 / Max: 113611.711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 2020-09-17Model: SqueezeNetV1.0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.009, N = 3SE +/- 0.038, N = 3SE +/- 0.054, N = 37.9897.8857.934MIN: 7.93 / MAX: 10.34MIN: 7.8 / MAX: 9.55MIN: 7.8 / MAX: 20.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 7.97 / Avg: 7.99 / Max: 8Min: 7.85 / Avg: 7.89 / Max: 7.96Min: 7.86 / Avg: 7.93 / Max: 8.041. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.71821.43642.15462.87283.591SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.026, N = 33.1533.1923.1721. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 3.14 / Avg: 3.15 / Max: 3.17Min: 3.18 / Avg: 3.19 / Max: 3.2Min: 3.12 / Avg: 3.17 / Max: 3.21. (CXX) g++ options: -O3 -pthread -lm

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off306090120150SE +/- 0.84, N = 3SE +/- 0.71, N = 3SE +/- 0.46, N = 3147.19145.55145.441. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off306090120150Min: 145.76 / Avg: 147.19 / Max: 148.68Min: 144.13 / Avg: 145.55 / Max: 146.38Min: 144.53 / Avg: 145.44 / Max: 1461. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30K60K90K120K150KSE +/- 59.58, N = 3SE +/- 22.88, N = 3SE +/- 54.03, N = 31193731207761201001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KMin: 119296 / Avg: 119372.67 / Max: 119490Min: 120735 / Avg: 120776.33 / Max: 120814Min: 119992 / Avg: 120100 / Max: 1201571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 316.8216.8316.641. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620Min: 16.65 / Avg: 16.82 / Max: 16.92Min: 16.67 / Avg: 16.83 / Max: 16.97Min: 16.55 / Avg: 16.64 / Max: 16.741. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off13K26K39K52K65KSE +/- 16.42, N = 3SE +/- 16.65, N = 3SE +/- 22.93, N = 35971260393600611. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off10K20K30K40K50KMin: 59693 / Avg: 59712.33 / Max: 59745Min: 60361 / Avg: 60393 / Max: 60417Min: 60016 / Avg: 60061.33 / Max: 600901. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off306090120150SE +/- 0.66, N = 3SE +/- 0.81, N = 3SE +/- 0.09, N = 3121.44121.73120.36
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100Min: 120.73 / Avg: 121.44 / Max: 122.76Min: 120.8 / Avg: 121.73 / Max: 123.34Min: 120.19 / Avg: 120.36 / Max: 120.51

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.46350.9271.39051.8542.3175SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.062.062.041. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 2.06 / Avg: 2.06 / Max: 2.06Min: 2.05 / Avg: 2.06 / Max: 2.07Min: 2.03 / Avg: 2.04 / Max: 2.051. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 2020-09-17Model: resnet-v2-50Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 343.3543.0143.09MIN: 43.19 / MAX: 56.37MIN: 42.74 / MAX: 58.11MIN: 42.85 / MAX: 45.611. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645Min: 43.29 / Avg: 43.35 / Max: 43.38Min: 42.83 / Avg: 43.01 / Max: 43.34Min: 42.94 / Avg: 43.09 / Max: 43.381. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 BenchmarkLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.11750.2350.35250.470.5875SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.5220.5180.5191. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.521. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: MobileNet v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off70140210280350SE +/- 0.64, N = 3SE +/- 0.19, N = 3SE +/- 1.83, N = 3331.02329.10331.54MIN: 328.98 / MAX: 335.04MIN: 327.92 / MAX: 336.27MIN: 328.47 / MAX: 335.841. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off60120180240300Min: 329.76 / Avg: 331.02 / Max: 331.81Min: 328.73 / Avg: 329.1 / Max: 329.36Min: 329.47 / Avg: 331.54 / Max: 335.191. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 343.6143.3643.301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645Min: 43.59 / Avg: 43.61 / Max: 43.63Min: 43.3 / Avg: 43.36 / Max: 43.46Min: 43.21 / Avg: 43.3 / Max: 43.361. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 380.7080.1180.22
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1530456075Min: 80.5 / Avg: 80.7 / Max: 80.85Min: 79.38 / Avg: 80.11 / Max: 80.55Min: 79.56 / Avg: 80.22 / Max: 81.34

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.9451.892.8353.784.725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.184.204.17MIN: 4.15 / MAX: 5.12MIN: 4.16 / MAX: 5.28MIN: 4.14 / MAX: 5.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 4.17 / Avg: 4.18 / Max: 4.19Min: 4.19 / Avg: 4.2 / Max: 4.21Min: 4.17 / Avg: 4.17 / Max: 4.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 315.115.115.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620Min: 15.1 / Avg: 15.13 / Max: 15.2Min: 15.1 / Avg: 15.13 / Max: 15.2Min: 15.1 / Avg: 15.17 / Max: 15.21. (CC) gcc options: -O3 -pthread -lz -llzma

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 319.2619.3819.26
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025Min: 19.18 / Avg: 19.25 / Max: 19.33Min: 19.3 / Avg: 19.38 / Max: 19.5Min: 19.2 / Avg: 19.26 / Max: 19.33

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 2020-09-17Model: inception-v3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1122334455SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 349.0148.7048.83MIN: 48.65 / MAX: 62.18MIN: 48.17 / MAX: 62.63MIN: 48.32 / MAX: 58.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050Min: 48.94 / Avg: 49.01 / Max: 49.1Min: 48.44 / Avg: 48.7 / Max: 49.06Min: 48.62 / Avg: 48.83 / Max: 49.21. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.7010.6710.73
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 10.69 / Avg: 10.7 / Max: 10.72Min: 10.64 / Avg: 10.67 / Max: 10.69Min: 10.69 / Avg: 10.73 / Max: 10.76

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off200K400K600K800K1000KSE +/- 1658.61, N = 3SE +/- 1718.08, N = 3SE +/- 4835.91, N = 31134964.51131288.11128771.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off200K400K600K800K1000KMin: 1133152.1 / Avg: 1134964.5 / Max: 1138276.8Min: 1128637.1 / Avg: 1131288.13 / Max: 1134506.9Min: 1121961.1 / Avg: 1128771.47 / Max: 1138124.1

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off4080120160200SE +/- 0.45, N = 3SE +/- 0.04, N = 3SE +/- 0.58, N = 3200.89200.92199.92MIN: 199.13 / MAX: 202.69MIN: 199.69 / MAX: 202.6MIN: 197.78 / MAX: 202.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off4080120160200Min: 200.1 / Avg: 200.89 / Max: 201.64Min: 200.88 / Avg: 200.92 / Max: 200.99Min: 198.8 / Avg: 199.92 / Max: 200.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 CompileLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30060090012001500SE +/- 1.20, N = 3SE +/- 0.95, N = 3SE +/- 0.61, N = 31378.971372.341373.73
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2004006008001000Min: 1376.58 / Avg: 1378.97 / Max: 1380.4Min: 1371.32 / Avg: 1372.34 / Max: 1374.23Min: 1372.64 / Avg: 1373.73 / Max: 1374.76

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off50100150200250SE +/- 0.48, N = 3SE +/- 0.17, N = 3SE +/- 0.53, N = 3214.31215.24215.32MIN: 190.48 / MAX: 222.23MIN: 193.55 / MAX: 222.23MIN: 193.55 / MAX: 222.231. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off4080120160200Min: 213.78 / Avg: 214.31 / Max: 215.28Min: 214.95 / Avg: 215.24 / Max: 215.52Min: 214.55 / Avg: 215.32 / Max: 216.321. mpv 0.32.0

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.011, N = 37.1777.2027.1691. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 7.15 / Avg: 7.18 / Max: 7.2Min: 7.19 / Avg: 7.2 / Max: 7.21Min: 7.15 / Avg: 7.17 / Max: 7.181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KSE +/- 789.44, N = 3SE +/- 235.90, N = 3SE +/- 381.08, N = 31071311067311066511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20K40K60K80K100KMin: 105941.22 / Avg: 107131.24 / Max: 108624.88Min: 106259.66 / Avg: 106731.43 / Max: 106971.05Min: 106004.44 / Avg: 106650.89 / Max: 107323.751. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off50100150200250SE +/- 1.20, N = 3SE +/- 3.71, N = 32292292281. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off4080120160200Min: 227 / Avg: 229.33 / Max: 231Min: 224 / Avg: 228.67 / Max: 2361. (CXX) g++ options: -flto -pthread

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 325.5225.5325.42
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430Min: 25.42 / Avg: 25.52 / Max: 25.69Min: 25.3 / Avg: 25.53 / Max: 25.85Min: 25.38 / Avg: 25.42 / Max: 25.46

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 2020-09-17Model: MobileNetV2_224Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1.10612.21223.31834.42445.5305SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 34.9144.8954.916MIN: 4.88 / MAX: 7.28MIN: 4.86 / MAX: 7.16MIN: 4.87 / MAX: 17.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 4.91 / Avg: 4.91 / Max: 4.92Min: 4.89 / Avg: 4.9 / Max: 4.9Min: 4.91 / Avg: 4.92 / Max: 4.931. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.21110.42220.63330.84441.0555SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.9340.9370.9381. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 0.92 / Avg: 0.93 / Max: 0.94Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 0.93 / Avg: 0.94 / Max: 0.941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off9M18M27M36M45MSE +/- 100523.14, N = 3SE +/- 27184.15, N = 3SE +/- 120710.22, N = 342635852.842736377.342562814.7
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off7M14M21M28M35MMin: 42441493.2 / Avg: 42635852.8 / Max: 42777563.1Min: 42682270.5 / Avg: 42736377.3 / Max: 42768043.2Min: 42321530.2 / Avg: 42562814.7 / Max: 42690472.2

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.53691.07381.61072.14762.6845SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 32.3862.3772.3821. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 2.38 / Avg: 2.39 / Max: 2.39Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 2.38 / Avg: 2.38 / Max: 2.391. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.038.068.05MIN: 7.95 / MAX: 9.23MIN: 7.97 / MAX: 9.75MIN: 7.97 / MAX: 9.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 8.02 / Avg: 8.03 / Max: 8.04Min: 8.05 / Avg: 8.06 / Max: 8.06Min: 8.04 / Avg: 8.05 / Max: 8.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off60120180240300SE +/- 0.67, N = 32712712701. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off50100150200250Min: 270 / Avg: 270.67 / Max: 2721. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645SE +/- 0.36, N = 3SE +/- 0.44, N = 3SE +/- 0.47, N = 338.2638.2038.34MIN: 36.04 / MAX: 46.85MIN: 36.45 / MAX: 46.01MIN: 35.99 / MAX: 46.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off816243240Min: 37.66 / Avg: 38.26 / Max: 38.9Min: 37.47 / Avg: 38.2 / Max: 38.99Min: 37.41 / Avg: 38.34 / Max: 38.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off60K120K180K240K300KSE +/- 76.51, N = 3SE +/- 436.14, N = 3SE +/- 18.52, N = 32893132903722900541. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off50K100K150K200K250KMin: 289228 / Avg: 289313.33 / Max: 289466Min: 289706 / Avg: 290372.33 / Max: 291193Min: 290021 / Avg: 290054.33 / Max: 2900851. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 325.1425.1725.231. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430Min: 25.13 / Avg: 25.14 / Max: 25.15Min: 25.12 / Avg: 25.17 / Max: 25.25Min: 25.14 / Avg: 25.23 / Max: 25.291. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off400800120016002000SE +/- 8.20, N = 3SE +/- 3.92, N = 3SE +/- 5.26, N = 31631.11631.61626.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30060090012001500Min: 1614.8 / Avg: 1631.1 / Max: 1640.8Min: 1623.8 / Avg: 1631.63 / Max: 1635.8Min: 1617.2 / Avg: 1626.43 / Max: 1635.41. (CC) gcc options: -O3 -pthread -lz -llzma

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30K60K90K120K150KSE +/- 22.11, N = 3SE +/- 44.11, N = 3SE +/- 20.43, N = 31446731450931450011. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off30K60K90K120K150KMin: 144631 / Avg: 144673 / Max: 144706Min: 145005 / Avg: 145092.67 / Max: 145145Min: 144963 / Avg: 145001 / Max: 1450331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.66351.3271.99052.6543.3175SE +/- 0.020, N = 3SE +/- 0.027, N = 10SE +/- 0.031, N = 82.9412.9472.949
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 2.92 / Avg: 2.94 / Max: 2.98Min: 2.92 / Avg: 2.95 / Max: 3.19Min: 2.92 / Avg: 2.95 / Max: 3.17

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3111.73111.43111.70MIN: 111.37 / MAX: 122.13MIN: 111.01 / MAX: 123.94MIN: 111.2 / MAX: 123.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100Min: 111.68 / Avg: 111.73 / Max: 111.77Min: 111.39 / Avg: 111.43 / Max: 111.46Min: 111.53 / Avg: 111.7 / Max: 111.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 AtomsLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.77291.54582.31873.09163.8645SE +/- 0.00319, N = 3SE +/- 0.00499, N = 3SE +/- 0.00509, N = 33.434923.426533.42570
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 3.43 / Avg: 3.43 / Max: 3.44Min: 3.42 / Avg: 3.43 / Max: 3.44Min: 3.42 / Avg: 3.43 / Max: 3.44

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off300K600K900K1200K1500KSE +/- 369.57, N = 3SE +/- 238.09, N = 3SE +/- 1127.04, N = 31166424.51169460.91167644.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off200K400K600K800K1000KMin: 1165698.2 / Avg: 1166424.53 / Max: 1166906.3Min: 1169153.6 / Avg: 1169460.93 / Max: 1169929.6Min: 1165813 / Avg: 1167644.9 / Max: 1169698.3

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off200K400K600K800K1000KSE +/- 1466.20, N = 3SE +/- 3995.71, N = 3SE +/- 381.22, N = 31155511.61154840.11152691.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off200K400K600K800K1000KMin: 1152748.2 / Avg: 1155511.57 / Max: 1157743Min: 1150418 / Avg: 1154840.13 / Max: 1162815.8Min: 1151937.5 / Avg: 1152691.17 / Max: 1153167.9

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off60120180240300SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3258.69258.09258.51
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off50100150200250Min: 258.36 / Avg: 258.69 / Max: 259.02Min: 257.81 / Avg: 258.09 / Max: 258.27Min: 258.26 / Avg: 258.51 / Max: 258.97

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 2020-09-17Model: mobilenet-v1-1.0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.013, N = 3SE +/- 0.005, N = 3SE +/- 0.012, N = 36.3246.3196.331MIN: 6.27 / MAX: 8.77MIN: 6.28 / MAX: 7.95MIN: 6.28 / MAX: 19.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 6.3 / Avg: 6.32 / Max: 6.35Min: 6.31 / Avg: 6.32 / Max: 6.33Min: 6.31 / Avg: 6.33 / Max: 6.351. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 310.6610.6610.64MIN: 10.6 / MAX: 12.92MIN: 10.58 / MAX: 21.44MIN: 10.59 / MAX: 11.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 10.65 / Avg: 10.66 / Max: 10.66Min: 10.63 / Avg: 10.66 / Max: 10.7Min: 10.64 / Avg: 10.64 / Max: 10.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 312.4312.4412.42MIN: 11.96 / MAX: 12.74MIN: 12.23 / MAX: 13.62MIN: 11.97 / MAX: 12.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620Min: 12.42 / Avg: 12.43 / Max: 12.44Min: 12.42 / Avg: 12.44 / Max: 12.46Min: 12.42 / Avg: 12.42 / Max: 12.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 382.5182.3882.51MIN: 78.95 / MAX: 83.92MIN: 79.47 / MAX: 83.92MIN: 79.47 / MAX: 83.921. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1632486480Min: 82.5 / Avg: 82.51 / Max: 82.53Min: 82.13 / Avg: 82.38 / Max: 82.53Min: 82.27 / Avg: 82.51 / Max: 82.641. mpv 0.32.0

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 325.7025.6925.73MIN: 25.6 / MAX: 26.49MIN: 25.58 / MAX: 26.97MIN: 25.58 / MAX: 27.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430Min: 25.68 / Avg: 25.7 / Max: 25.73Min: 25.68 / Avg: 25.69 / Max: 25.71Min: 25.68 / Avg: 25.73 / Max: 25.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off90M180M270M360M450MSE +/- 428998.66, N = 3SE +/- 390918.97, N = 3SE +/- 239158.02, N = 3421628623.98422078542.71422214625.011. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off70M140M210M280M350MMin: 420801328.46 / Avg: 421628623.98 / Max: 422239264.48Min: 421471639.05 / Avg: 422078542.71 / Max: 422808848Min: 421804582.06 / Avg: 422214625.01 / Max: 422632926.251. (CC) gcc options: -O3 -march=native -lm

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 330.3530.3930.36MIN: 30.19 / MAX: 41.39MIN: 30.25 / MAX: 41.35MIN: 30.25 / MAX: 41.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835Min: 30.29 / Avg: 30.35 / Max: 30.44Min: 30.38 / Avg: 30.39 / Max: 30.4Min: 30.33 / Avg: 30.36 / Max: 30.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 324.3124.3024.28MIN: 24.17 / MAX: 32.09MIN: 24.19 / MAX: 35.23MIN: 24.19 / MAX: 26.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430Min: 24.25 / Avg: 24.31 / Max: 24.35Min: 24.29 / Avg: 24.3 / Max: 24.33Min: 24.26 / Avg: 24.28 / Max: 24.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 343.8243.8443.79MIN: 43.27 / MAX: 45.47MIN: 43.36 / MAX: 44.83MIN: 43.2 / MAX: 79.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645Min: 43.75 / Avg: 43.82 / Max: 43.92Min: 43.82 / Avg: 43.84 / Max: 43.88Min: 43.65 / Avg: 43.79 / Max: 44.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 379.9680.0580.00MIN: 63.74 / MAX: 83.15MIN: 78.58 / MAX: 86.33MIN: 78.65 / MAX: 84.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1530456075Min: 79.9 / Avg: 79.96 / Max: 80Min: 79.99 / Avg: 80.05 / Max: 80.09Min: 79.99 / Avg: 80 / Max: 80.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 321.7621.7521.77MIN: 21.63 / MAX: 22.1MIN: 21.66 / MAX: 24.09MIN: 21.62 / MAX: 23.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025Min: 21.72 / Avg: 21.76 / Max: 21.79Min: 21.73 / Avg: 21.75 / Max: 21.79Min: 21.75 / Avg: 21.77 / Max: 21.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 322.0422.0322.02MIN: 21.95 / MAX: 23.97MIN: 21.95 / MAX: 24.29MIN: 21.94 / MAX: 23.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off510152025Min: 22.03 / Avg: 22.04 / Max: 22.04Min: 22.02 / Avg: 22.03 / Max: 22.04Min: 22 / Avg: 22.02 / Max: 22.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 345.9345.8945.93MIN: 45.76 / MAX: 56.57MIN: 45.75 / MAX: 48.52MIN: 45.75 / MAX: 56.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645Min: 45.92 / Avg: 45.93 / Max: 45.95Min: 45.86 / Avg: 45.89 / Max: 45.93Min: 45.9 / Avg: 45.93 / Max: 45.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2004006008001000SE +/- 0.88, N = 3SE +/- 0.27, N = 3SE +/- 1.33, N = 3993.46992.73992.941. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off2004006008001000Min: 991.74 / Avg: 993.46 / Max: 994.61Min: 992.19 / Avg: 992.73 / Max: 993Min: 990.33 / Avg: 992.94 / Max: 994.671. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.34810.69621.04431.39241.7405SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 31.5461.5471.5471. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 1.55 / Avg: 1.55 / Max: 1.55Min: 1.55 / Avg: 1.55 / Max: 1.55Min: 1.55 / Avg: 1.55 / Max: 1.551. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 334.9634.9434.94MIN: 34.69 / MAX: 35.06MIN: 34.31 / MAX: 35.12MIN: 34.66 / MAX: 35.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835Min: 34.94 / Avg: 34.96 / Max: 34.99Min: 34.93 / Avg: 34.94 / Max: 34.95Min: 34.92 / Avg: 34.94 / Max: 34.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1632486480SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 374.2074.1874.16MIN: 73.88 / MAX: 74.6MIN: 73.92 / MAX: 74.41MIN: 73.75 / MAX: 74.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1428425670Min: 74.18 / Avg: 74.2 / Max: 74.22Min: 74.17 / Avg: 74.18 / Max: 74.2Min: 74.16 / Avg: 74.16 / Max: 74.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off1020304050SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 342.0542.0742.07MIN: 41.95 / MAX: 42.75MIN: 41.96 / MAX: 44.26MIN: 41.96 / MAX: 44.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off918273645Min: 42.02 / Avg: 42.05 / Max: 42.07Min: 42.04 / Avg: 42.07 / Max: 42.09Min: 42.03 / Avg: 42.07 / Max: 42.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 325.6825.6725.68MIN: 25.44 / MAX: 25.75MIN: 25.03 / MAX: 25.83MIN: 25.45 / MAX: 26.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off612182430Min: 25.67 / Avg: 25.68 / Max: 25.7Min: 25.67 / Avg: 25.67 / Max: 25.67Min: 25.67 / Avg: 25.68 / Max: 25.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off70140210280350SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3313.08313.00312.98MIN: 312.16 / MAX: 314.14MIN: 312.25 / MAX: 313.9MIN: 312.05 / MAX: 313.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off60120180240300Min: 312.85 / Avg: 313.08 / Max: 313.27Min: 312.87 / Avg: 313 / Max: 313.11Min: 312.79 / Avg: 312.98 / Max: 313.121. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 330.2630.2730.26MIN: 30.05 / MAX: 30.36MIN: 30 / MAX: 30.38MIN: 30.05 / MAX: 30.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off714212835Min: 30.25 / Avg: 30.26 / Max: 30.26Min: 30.24 / Avg: 30.27 / Max: 30.28Min: 30.25 / Avg: 30.26 / Max: 30.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 SearchLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3110.41110.44110.441. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off20406080100Min: 110.38 / Avg: 110.41 / Max: 110.45Min: 110.41 / Avg: 110.44 / Max: 110.49Min: 110.38 / Avg: 110.44 / Max: 110.541. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.6212.6212.62MIN: 12.59 / MAX: 12.69MIN: 12.1 / MAX: 13.18MIN: 12.12 / MAX: 12.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620Min: 12.62 / Avg: 12.62 / Max: 12.63Min: 12.61 / Avg: 12.62 / Max: 12.62Min: 12.61 / Avg: 12.62 / Max: 12.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.7413.7413.74MIN: 13.52 / MAX: 13.99MIN: 13.57 / MAX: 13.93MIN: 13.52 / MAX: 14.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off48121620Min: 13.73 / Avg: 13.74 / Max: 13.75Min: 13.73 / Avg: 13.74 / Max: 13.75Min: 13.72 / Avg: 13.74 / Max: 13.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.37580.75161.12741.50321.879SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.671.671.67MIN: 1.65 / MAX: 1.71MIN: 1.65 / MAX: 1.87MIN: 1.65 / MAX: 1.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 1.66 / Avg: 1.67 / Max: 1.69Min: 1.67 / Avg: 1.67 / Max: 1.68Min: 1.66 / Avg: 1.67 / Max: 1.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.356.356.35MIN: 6.3 / MAX: 7.39MIN: 6.31 / MAX: 7.4MIN: 6.3 / MAX: 8.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 6.34 / Avg: 6.35 / Max: 6.36Min: 6.34 / Avg: 6.35 / Max: 6.36Min: 6.34 / Avg: 6.35 / Max: 6.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.866.866.86MIN: 6.79 / MAX: 8.38MIN: 6.79 / MAX: 8.22MIN: 6.79 / MAX: 8.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off3691215Min: 6.85 / Avg: 6.86 / Max: 6.89Min: 6.85 / Avg: 6.86 / Max: 6.88Min: 6.85 / Avg: 6.86 / Max: 6.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.0540.1080.1620.2160.27SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.240.240.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off12345Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off0.63451.2691.90352.5383.1725SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 32.822.722.67MIN: 2.38 / MAX: 3.38MIN: 2.4 / MAX: 3.3MIN: 2.3 / MAX: 3.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.9-rc1Linux 5.9-rc7Linux 5.9-rc7 + mitigations=off246810Min: 2.61 / Avg: 2.82 / Max: 3.21Min: 2.55 / Avg: 2.72 / Max: 3Min: 2.66 / Avg: 2.67 / Max: 2.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

108 Results Shown

PostgreSQL pgbench:
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
Kripke
PostgreSQL pgbench:
  100 - 1 - Read Write - Average Latency
  100 - 1 - Read Write
  100 - 50 - Read Write
  100 - 50 - Read Write - Average Latency
  100 - 1 - Read Only - Average Latency
KeyDB
GLmark2
eSpeak-NG Speech Engine
PostgreSQL pgbench:
  1 - 100 - Read Only
  1 - 100 - Read Only - Average Latency
LeelaChessZero
PostgreSQL pgbench
AOM AV1
PostgreSQL pgbench:
  100 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
VkFFT
NCNN:
  Vulkan GPU - alexnet
  Vulkan GPU - shufflenet-v2
Timed MAFFT Alignment
PostgreSQL pgbench:
  1 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
WebP Image Encode
PostgreSQL pgbench:
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
  100 - 50 - Read Only - Average Latency
  1 - 100 - Read Write - Average Latency
LibRaw
AOM AV1
PostgreSQL pgbench
FFTE
PostgreSQL pgbench
Mobile Neural Network
LAMMPS Molecular Dynamics Simulator
Apache CouchDB
Caffe
AOM AV1
Caffe
Mlpack Benchmark
AOM AV1
Mobile Neural Network
GROMACS
TNN
WebP Image Encode
Mlpack Benchmark
NCNN
Zstd Compression
Dolfyn
Mobile Neural Network
Mlpack Benchmark
InfluxDB
NCNN
Timed LLVM Compilation
MPV
WebP Image Encode
PostgreSQL pgbench
LeelaChessZero
Mlpack Benchmark
Mobile Neural Network
PostgreSQL pgbench
BYTE Unix Benchmark
WebP Image Encode
NCNN
Monte Carlo Simulations of Ionised Nebulae
NCNN
Caffe
RNNoise
Zstd Compression
Caffe
System GZIP Decompression
NCNN
NAMD
InfluxDB:
  1024 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
RealSR-NCNN
Mobile Neural Network
NCNN:
  CPU - efficientnet-b0
  Vulkan GPU-v2-v2 - mobilenet-v2
MPV
NCNN
Hierarchical INTegration
NCNN:
  CPU - mobilenet
  CPU - alexnet
  Vulkan GPU - squeezenet
  Vulkan GPU - yolov4-tiny
  CPU - resnet18
  CPU - googlenet
  CPU - resnet50
GPAW
WebP Image Encode
NCNN:
  Vulkan GPU - googlenet
  Vulkan GPU - resnet50
  CPU - yolov4-tiny
  Vulkan GPU - efficientnet-b0
TNN
NCNN
Timed HMMer Search
NCNN:
  Vulkan GPU - mnasnet
  Vulkan GPU-v3-v3 - mobilenet-v3
  CPU - blazeface
  CPU - mnasnet
  CPU-v3-v3 - mobilenet-v3
AOM AV1
NCNN