Core i5 10600K October

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS 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 2010129-FI-COREI510676
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Linux 5.4
October 11 2020
  15 Hours, 6 Minutes
Linux 5.8
October 13 2020
  13 Hours, 53 Minutes
Linux 5.9
October 13 2020
  12 Hours, 58 Minutes
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  13 Hours, 59 Minutes

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Linux 5.4

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel

OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Vulnerable + 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 5.8

OS: Ubuntu 20.04, Kernel: 5.8.14-050814-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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

OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Core i5 10600K OctoberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionVulkanLinux 5.4Linux 5.8Linux 5.9Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GBSamsung SSD 970 EVO 500GBASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDG237HLIntelUbuntu 20.045.4.0-45-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x10805.8.14-050814-generic (x86_64)1.2.1315.9.0-050900daily20201012-generic (x86_64)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 3.8.5Security Details- Linux 5.4: itlb_multihit: KVM: Vulnerable + 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 5.8: itlb_multihit: KVM: Mitigation of VMX unsupported + 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: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 5.4Linux 5.8Linux 5.9Logarithmic Result OverviewPhoronix Test SuiteRealSR-NCNNNCNNApache CouchDBVkFFTGLmark2LibRawMPVLAMMPS Molecular Dynamics SimulatorKripkeIncompact3DLeelaChessZeroPostgreSQL pgbenchSystem GZIP DecompressioneSpeak-NG Speech EngineBYTE Unix BenchmarkFFTEGROMACSSeleniumInfluxDBTimed MAFFT AlignmentSunflow Rendering SystemMlpack BenchmarkGPAWTimed HMMer SearchMobile Neural NetworkOpenVINOHierarchical INTegrationDolfynTSCPWebP Image EncodeRNNoiseCraftyCaffeTNNTimed LLVM Compilation

Core i5 10600K Octoberrealsr-ncnn: 4x - Noncnn: Vulkan GPU - blazefacencnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - vgg16couchdb: 100 - 1000 - 24vkfft: glmark2: 1920 x 1080libraw: Post-Processing Benchmarkmpv: Big Buck Bunny Sunflower 1080p - Software Onlypgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencyselenium: Jetstream 2 - Firefoxmpv: Big Buck Bunny Sunflower 4K - Software Onlyselenium: Speedometer - Firefoxpgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencylczero: Randmlpack: scikit_icaopenvino: Person Detection 0106 FP16 - CPUselenium: WASM imageConvolute - Firefoxkripke: selenium: StyleBench - Firefoxselenium: CanvasMark - Firefoxncnn: CPU-v3-v3 - mobilenet-v3pgbench: 100 - 100 - Read Onlyincompact3d: Cylinderncnn: CPU - shufflenet-v2ncnn: CPU - mobilenetpgbench: 100 - 100 - Read Only - Average Latencyncnn: CPU - blazefaceopenvino: Age Gender Recognition Retail 0013 FP16 - CPUpgbench: 1 - 50 - Read Only - Average Latencyncnn: CPU-v2-v2 - mobilenet-v2webp: Quality 100, Lossless, Highest Compressioninfluxdb: 1024 - 10000 - 2,5000,1 - 10000pgbench: 1 - 50 - Read Onlyncnn: CPU - efficientnet-b0ncnn: CPU - squeezenetncnn: CPU - mnasnetlczero: Eigenselenium: WebXPRT - Firefoxlczero: BLASinfluxdb: 64 - 10000 - 2,5000,1 - 10000selenium: ARES-6 - Firefoxmnn: resnet-v2-50pgbench: 1 - 1 - Read Writelammps: 20k Atomssystem-decompress-gzip: openvino: Face Detection 0106 FP32 - CPUpgbench: 1 - 1 - Read Write - Average Latencyespeak: Text-To-Speech Synthesisselenium: PSPDFKit WASM - Firefoxpgbench: 100 - 50 - Read Onlybyte: Dhrystone 2ffte: N=256, 3D Complex FFT Routinegromacs: Water Benchmarkncnn: CPU - alexnetopenvino: Person Detection 0106 FP32 - CPUncnn: CPU - yolov4-tinypgbench: 100 - 50 - Read Only - Average Latencywebp: Quality 100mafft: Multiple Sequence Alignment - LSU RNAmnn: MobileNetV2_224pgbench: 100 - 50 - Read Writesunflow: Global Illumination + Image Synthesiswebp: Quality 100, Losslesspgbench: 100 - 50 - Read Write - Average Latencyncnn: CPU - vgg16mnn: inception-v3ncnn: CPU - googlenetselenium: Kraken - Firefoxncnn: CPU - resnet50openvino: Age Gender Recognition Retail 0013 FP32 - CPUncnn: CPU - resnet18pgbench: 1 - 100 - Read Onlyopenvino: Person Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUmnn: mobilenet-v1-1.0pgbench: 100 - 1 - Read Writemlpack: scikit_qdaopenvino: Age Gender Recognition Retail 0013 FP16 - CPUmlpack: scikit_linearridgeregressioncaffe: AlexNet - CPU - 100selenium: Jetstream - Firefoxhmmer: Pfam Database Searchopenvino: Face Detection 0106 FP16 - CPUpgbench: 1 - 100 - Read Only - Average Latencywebp: Quality 100, Highest Compressionpgbench: 100 - 1 - Read Write - Average Latencytnn: CPU - MobileNet v2build-llvm: Time To Compilehint: FLOATopenvino: Face Detection 0106 FP32 - CPUdolfyn: Computational Fluid Dynamicsmnn: SqueezeNetV1.0pgbench: 1 - 50 - Read Writeopenvino: Person Detection 0106 FP32 - CPUtscp: AI Chess Performancepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 100 - Read Write - Average Latencycaffe: AlexNet - CPU - 200selenium: Octane - Firefoxgpaw: Carbon Nanotubecaffe: GoogleNet - CPU - 200influxdb: 4 - 10000 - 2,5000,1 - 10000pgbench: 1 - 100 - Read Writecaffe: GoogleNet - CPU - 100rnnoise: selenium: WASM collisionDetection - Firefoxcrafty: Elapsed Timemlpack: scikit_svmtnn: CPU - SqueezeNet v1.1selenium: Maze Solver - Firefoxopenvino: Age Gender Recognition Retail 0013 FP32 - CPUwebp: Defaultselenium: MotionMark - Firefoxselenium: Basemark - Firefoxlammps: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.945.1446.2938.0135.1133.7768.2789.0696.9776.5123.46102.03101.01135.93135.27232.2689.405116369438.91264.63324750.031285480.035104.76792.47101.6174475.73425185661.671.328.426864383107131774.50186035418.0544743.3518.830.5381.400.720.2245.3933.6061508889.92235356.8616.324.3610802763751501065.536.5932.3299225.2112.5982.111.08526.667124918984447984229.134978.7967086170.84814.021.2927.700.2632.1108.6363.424132291.31615.3103.78060.3438.85915.05742.529.485477.4015.002163123039.432.095.64484268.895453.746.6544951237.62102.3151905.450.4636.3831.188297.602805.914478832819.901681889.0017.0955.7419973056.10152066650.136102.4238968240665576.4502312851467255.997711574122.422450.2945641922.43278.1875.40.721.377250.26548.125.294259.5012.1012.7411.8011.4223.8232.4535.3428.529.0039.9346.0468.7472.28188.8882.147125874237.36275.29318410.031278630.036106.01395.07102172795.78925819960.951.2928.926420760108131384.46185300416.4937543.3618.550.5401.390.720.2245.3733.1801489793.32234406.8616.184.3310922743751485142.536.9732.6279195.1612.6212.091.08826.910123819105547645020.934709.2572112560.84113.931.2827.490.2622.1258.6893.410132221.30715.3663.78259.9638.79115.03738.229.315486.0714.922158613042.112.095.65383869.215459.966.6344750236.56102.5801900.500.4636.3711.193297.458809.095480635289.095681896.0517.0835.72210003061.54152489549.998102.3198943940732575.0972308751470396.797811560622.389450.7944883222.43278.0455.40.721.377263.29559.125.173258.5172.1512.7411.8011.4323.8232.4835.6828.548.8839.9545.8868.8172.91187.2881.925125874437.34274.76313970.032277250.036107.75295.0799.4170085.88225834762.401.2729.026345924109133514.43183143411.6623743.3118.680.5461.380.730.2275.3233.3391490324.32207096.7816.134.3110902773711487150.736.6932.6489135.1832.6232.101.09526.794124818941348050786.534685.5121747740.84413.911.2927.610.2642.1138.6973.434131381.30915.2613.80660.2439.03114.96742.229.325455.6514.922152263054.022.105.67183969.025435.036.6644766237.59102.7711897.050.4656.3981.191296.395805.908480154325.474901891.0717.1435.7329993064.73152232950.059102.1448951940762575.2942314071469762.597911580522.392450.5944708622.41278.0795.40.721.377265.46571.085.057OpenBenchmarking.org

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 5.4Linux 5.8Linux 5.960120180240300SE +/- 0.14, N = 3SE +/- 1.08, N = 3SE +/- 0.04, N = 345.14259.50258.52
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.4Linux 5.8Linux 5.950100150200250Min: 44.99 / Avg: 45.14 / Max: 45.43Min: 258.39 / Avg: 259.5 / Max: 261.66Min: 258.43 / Avg: 258.52 / Max: 258.57

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 5.4Linux 5.8Linux 5.9246810SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 36.292.102.15MIN: 6.06 / MAX: 6.85MIN: 1.99 / MAX: 2.32MIN: 2.1 / MAX: 2.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.93691215Min: 6.29 / Avg: 6.29 / Max: 6.3Min: 2.03 / Avg: 2.1 / Max: 2.19Min: 2.14 / Avg: 2.15 / Max: 2.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 338.0112.7412.74MIN: 33 / MAX: 39.12MIN: 12.52 / MAX: 13.16MIN: 12.48 / MAX: 131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9816243240Min: 38.01 / Avg: 38.01 / Max: 38.01Min: 12.73 / Avg: 12.74 / Max: 12.74Min: 12.73 / Avg: 12.74 / Max: 12.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9816243240SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 335.1111.8011.80MIN: 31.42 / MAX: 36.15MIN: 11.75 / MAX: 12.02MIN: 11.73 / MAX: 12.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9816243240Min: 35.06 / Avg: 35.11 / Max: 35.14Min: 11.79 / Avg: 11.8 / Max: 11.8Min: 11.78 / Avg: 11.8 / Max: 11.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9816243240SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 333.7711.4211.43MIN: 31.72 / MAX: 35.15MIN: 11.29 / MAX: 11.73MIN: 11.21 / MAX: 11.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9714212835Min: 33.73 / Avg: 33.77 / Max: 33.82Min: 11.42 / Avg: 11.42 / Max: 11.43Min: 11.41 / Avg: 11.43 / Max: 11.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.91530456075SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 368.2723.8223.82MIN: 31.3 / MAX: 72.58MIN: 23.07 / MAX: 23.99MIN: 23.14 / MAX: 24.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.91326395265Min: 68.23 / Avg: 68.27 / Max: 68.33Min: 23.81 / Avg: 23.82 / Max: 23.83Min: 23.8 / Avg: 23.82 / Max: 23.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 1.47, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 389.0632.4532.48MIN: 32.13 / MAX: 96.4MIN: 31.64 / MAX: 32.88MIN: 31.73 / MAX: 32.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.920406080100Min: 86.12 / Avg: 89.06 / Max: 90.64Min: 32.43 / Avg: 32.45 / Max: 32.47Min: 32.46 / Avg: 32.48 / Max: 32.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 396.9735.3435.68MIN: 74.99 / MAX: 110.38MIN: 34.32 / MAX: 37.32MIN: 34.93 / MAX: 36.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.920406080100Min: 96.64 / Avg: 96.97 / Max: 97.14Min: 34.98 / Avg: 35.34 / Max: 35.73Min: 35.33 / Avg: 35.68 / Max: 361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.920406080100SE +/- 1.51, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 376.5128.5228.54MIN: 28.22 / MAX: 87.56MIN: 28.25 / MAX: 28.62MIN: 28.01 / MAX: 28.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.91530456075Min: 73.68 / Avg: 76.51 / Max: 78.83Min: 28.51 / Avg: 28.52 / Max: 28.54Min: 28.53 / Avg: 28.54 / Max: 28.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9612182430SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 323.469.008.88MIN: 21.71 / MAX: 23.84MIN: 7.4 / MAX: 9.5MIN: 7.48 / MAX: 9.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9510152025Min: 23.44 / Avg: 23.46 / Max: 23.48Min: 8.88 / Avg: 9 / Max: 9.08Min: 8.59 / Avg: 8.88 / Max: 9.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3102.0339.9339.95MIN: 76.72 / MAX: 113.73MIN: 39.58 / MAX: 40.84MIN: 39.55 / MAX: 52.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.920406080100Min: 101.85 / Avg: 102.03 / Max: 102.14Min: 39.86 / Avg: 39.93 / Max: 40.06Min: 39.89 / Avg: 39.95 / Max: 40.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.43, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3101.0146.0445.88MIN: 52.66 / MAX: 113.44MIN: 43.93 / MAX: 50.02MIN: 43.28 / MAX: 49.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.920406080100Min: 100.34 / Avg: 101.01 / Max: 101.81Min: 45.9 / Avg: 46.04 / Max: 46.23Min: 45.74 / Avg: 45.88 / Max: 46.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3135.9368.7468.81MIN: 98.93 / MAX: 147.76MIN: 68.1 / MAX: 69.18MIN: 68.45 / MAX: 69.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9306090120150Min: 135.51 / Avg: 135.93 / Max: 136.16Min: 68.65 / Avg: 68.74 / Max: 68.82Min: 68.8 / Avg: 68.81 / Max: 68.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.39, N = 3SE +/- 0.76, N = 3SE +/- 0.05, N = 3135.2772.2872.91MIN: 83.79 / MAX: 155.83MIN: 66.2 / MAX: 93.52MIN: 59.48 / MAX: 76.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9306090120150Min: 134.62 / Avg: 135.27 / Max: 135.96Min: 70.76 / Avg: 72.28 / Max: 73.12Min: 72.82 / Avg: 72.91 / Max: 72.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.950100150200250SE +/- 0.63, N = 3SE +/- 0.49, N = 3SE +/- 0.74, N = 3232.26188.88187.28MIN: 206.96 / MAX: 251.85MIN: 186.4 / MAX: 191.25MIN: 184.56 / MAX: 190.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.94080120160200Min: 231 / Avg: 232.26 / Max: 232.97Min: 187.92 / Avg: 188.88 / Max: 189.52Min: 185.84 / Avg: 187.28 / Max: 188.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5.4Linux 5.8Linux 5.920406080100SE +/- 0.47, N = 3SE +/- 0.35, N = 3SE +/- 0.14, N = 389.4182.1581.931. (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 5.4Linux 5.8Linux 5.920406080100Min: 88.6 / Avg: 89.4 / Max: 90.23Min: 81.49 / Avg: 82.15 / Max: 82.68Min: 81.73 / Avg: 81.93 / Max: 82.181. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 5.4Linux 5.8Linux 5.930060090012001500SE +/- 0.58, N = 3SE +/- 1.00, N = 3116312581258
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4Linux 5.8Linux 5.92004006008001000Min: 1162 / Avg: 1163 / Max: 1164Min: 1257 / Avg: 1258 / Max: 1260

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 5.4Linux 5.8Linux 5.9160320480640800694742744

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 5.4Linux 5.8Linux 5.9918273645SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 338.9137.3637.341. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9816243240Min: 38.9 / Avg: 38.91 / Max: 38.92Min: 37.31 / Avg: 37.36 / Max: 37.4Min: 37.28 / Avg: 37.34 / Max: 37.421. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 5.4Linux 5.8Linux 5.960120180240300SE +/- 0.35, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3264.63275.29274.76MIN: 235.29 / MAX: 272.74MIN: 250 / MAX: 285.72MIN: 244.9 / MAX: 279.081. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.950100150200250Min: 263.94 / Avg: 264.63 / Max: 265.06Min: 275 / Avg: 275.29 / Max: 275.52Min: 274.49 / Avg: 274.76 / Max: 275.131. mpv 0.32.0

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 5.4Linux 5.8Linux 5.97K14K21K28K35KSE +/- 81.25, N = 3SE +/- 181.24, N = 3SE +/- 208.37, N = 33247531841313971. (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 5.4Linux 5.8Linux 5.96K12K18K24K30KMin: 32316.89 / Avg: 32474.72 / Max: 32587.13Min: 31582.03 / Avg: 31840.7 / Max: 32189.95Min: 31129.59 / Avg: 31396.57 / Max: 31807.171. (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 5.4Linux 5.8Linux 5.90.00720.01440.02160.02880.036SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0310.0310.0321. (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 5.4Linux 5.8Linux 5.912345Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.031. (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 5.4Linux 5.8Linux 5.96K12K18K24K30KSE +/- 228.47, N = 3SE +/- 237.17, N = 3SE +/- 170.81, N = 32854827863277251. (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 5.4Linux 5.8Linux 5.95K10K15K20K25KMin: 28159.51 / Avg: 28548.44 / Max: 28950.61Min: 27455.51 / Avg: 27862.94 / Max: 28277.02Min: 27455.2 / Avg: 27724.82 / Max: 28041.311. (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 5.4Linux 5.8Linux 5.90.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0350.0360.0361. (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 5.4Linux 5.8Linux 5.912345Min: 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

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.06, N = 3SE +/- 0.63, N = 3SE +/- 0.52, N = 3104.77106.01107.751. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.920406080100Min: 104.65 / Avg: 104.77 / Max: 104.83Min: 104.78 / Avg: 106.01 / Max: 106.83Min: 106.87 / Avg: 107.75 / Max: 108.671. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.920406080100SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 392.4795.0795.07MIN: 88.89 / MAX: 94.49MIN: 93.02 / MAX: 96MIN: 92.31 / MAX: 96.781. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.920406080100Min: 92.34 / Avg: 92.47 / Max: 92.57Min: 94.95 / Avg: 95.07 / Max: 95.16Min: 94.97 / Avg: 95.07 / Max: 95.141. mpv 0.32.0

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.31, N = 3SE +/- 0.33, N = 3SE +/- 0.38, N = 3101.6102.099.41. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.920406080100Min: 101 / Avg: 101.6 / Max: 102Min: 101 / Avg: 101.67 / Max: 102Min: 98.7 / Avg: 99.37 / Max: 1001. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.94K8K12K16K20KSE +/- 58.33, N = 3SE +/- 34.07, N = 3SE +/- 67.76, N = 31744717279170081. (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 5.4Linux 5.8Linux 5.93K6K9K12K15KMin: 17331.58 / Avg: 17447.28 / Max: 17518.04Min: 17229.86 / Avg: 17278.59 / Max: 17344.2Min: 16878.91 / Avg: 17008.44 / Max: 17107.691. (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 5.4Linux 5.8Linux 5.91.32352.6473.97055.2946.6175SE +/- 0.020, N = 3SE +/- 0.011, N = 3SE +/- 0.023, N = 35.7345.7895.8821. (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 5.4Linux 5.8Linux 5.9246810Min: 5.71 / Avg: 5.73 / Max: 5.77Min: 5.77 / Avg: 5.79 / Max: 5.81Min: 5.85 / Avg: 5.88 / Max: 5.931. (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: RandomLinux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 364.31, N = 3SE +/- 188.30, N = 3SE +/- 119.00, N = 32518562581992583471. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.940K80K120K160K200KMin: 251163 / Avg: 251856.33 / Max: 252397Min: 257885 / Avg: 258198.67 / Max: 258536Min: 258145 / Avg: 258347 / Max: 2585571. (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_icaLinux 5.4Linux 5.8Linux 5.91428425670SE +/- 0.54, N = 3SE +/- 0.31, N = 3SE +/- 0.33, N = 361.6760.9562.40
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.91224364860Min: 60.61 / Avg: 61.67 / Max: 62.39Min: 60.48 / Avg: 60.95 / Max: 61.53Min: 61.74 / Avg: 62.4 / Max: 62.75

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.90.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.301.291.27
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.9246810Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.27 / Avg: 1.29 / Max: 1.3Min: 1.27 / Avg: 1.27 / Max: 1.28

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9714212835SE +/- 0.00, N = 3SE +/- 0.44, N = 3SE +/- 0.20, N = 328.428.929.01. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9612182430Min: 28.4 / Avg: 28.4 / Max: 28.4Min: 28.4 / Avg: 28.93 / Max: 29.8Min: 28.6 / Avg: 28.97 / Max: 29.31. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.96M12M18M24M30MSE +/- 159970.02, N = 3SE +/- 279264.45, N = 9SE +/- 349379.84, N = 52686438326420760263459241. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.95M10M15M20M25MMin: 26688980 / Avg: 26864383.33 / Max: 27183810Min: 25090030 / Avg: 26420760 / Max: 27410590Min: 25027350 / Avg: 26345924 / Max: 269382901. (CXX) g++ options: -O3 -fopenmp

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.33, N = 3SE +/- 0.67, N = 31071081091. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.920406080100Min: 107 / Avg: 107.67 / Max: 108Min: 108 / Avg: 108.67 / Max: 1101. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.93K6K9K12K15KSE +/- 42.91, N = 3SE +/- 147.15, N = 3SE +/- 47.74, N = 31317713138133511. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.92K4K6K8K10KMin: 13099 / Avg: 13177 / Max: 13247Min: 12908 / Avg: 13138 / Max: 13412Min: 13265 / Avg: 13350.67 / Max: 134301. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.91.01252.0253.03754.055.0625SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 34.504.464.43MIN: 4.36 / MAX: 6.54MIN: 4.32 / MAX: 5.6MIN: 4.33 / MAX: 5.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9246810Min: 4.47 / Avg: 4.5 / Max: 4.52Min: 4.4 / Avg: 4.46 / Max: 4.54Min: 4.42 / Avg: 4.43 / Max: 4.451. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 100 - Mode: Read OnlyLinux 5.4Linux 5.8Linux 5.940K80K120K160K200KSE +/- 225.82, N = 3SE +/- 98.89, N = 3SE +/- 156.49, N = 31860351853001831431. (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 5.4Linux 5.8Linux 5.930K60K90K120K150KMin: 185647.83 / Avg: 186034.56 / Max: 186429.95Min: 185107.69 / Avg: 185300.25 / Max: 185435.61Min: 182864.5 / Avg: 183143.16 / Max: 183405.881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.8Linux 5.990180270360450SE +/- 7.71, N = 2SE +/- 4.55, N = 3SE +/- 0.29, N = 3418.05416.49411.661. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.8Linux 5.970140210280350Min: 410.34 / Avg: 418.05 / Max: 425.77Min: 411.72 / Avg: 416.49 / Max: 425.6Min: 411.36 / Avg: 411.66 / Max: 412.251. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -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: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.90.7561.5122.2683.0243.78SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 33.353.363.31MIN: 3.27 / MAX: 5.21MIN: 3.17 / MAX: 4.55MIN: 3.2 / MAX: 13.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9246810Min: 3.33 / Avg: 3.35 / Max: 3.4Min: 3.33 / Avg: 3.36 / Max: 3.41Min: 3.3 / Avg: 3.31 / Max: 3.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 318.8318.5518.68MIN: 18.53 / MAX: 27.43MIN: 18.37 / MAX: 19.95MIN: 18.55 / MAX: 20.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9510152025Min: 18.71 / Avg: 18.83 / Max: 18.98Min: 18.53 / Avg: 18.55 / Max: 18.56Min: 18.61 / Avg: 18.68 / Max: 18.811. (CXX) g++ options: -O3 -rdynamic -lgomp -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.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.4Linux 5.8Linux 5.90.12290.24580.36870.49160.6145SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5380.5400.5461. (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 5.4Linux 5.8Linux 5.9246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.55 / Avg: 0.55 / Max: 0.551. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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: blazefaceLinux 5.4Linux 5.8Linux 5.90.3150.630.9451.261.575SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.401.391.38MIN: 1.37 / MAX: 2.32MIN: 1.35 / MAX: 1.45MIN: 1.36 / MAX: 2.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9246810Min: 1.39 / Avg: 1.4 / Max: 1.41Min: 1.37 / Avg: 1.39 / Max: 1.41Min: 1.38 / Avg: 1.38 / Max: 1.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.90.16430.32860.49290.65720.8215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.720.720.73
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.9246810Min: 0.72 / Avg: 0.72 / Max: 0.73Min: 0.72 / Avg: 0.72 / Max: 0.73Min: 0.72 / Avg: 0.73 / Max: 0.73

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: 50 - Mode: Read Only - Average LatencyLinux 5.4Linux 5.8Linux 5.90.05110.10220.15330.20440.2555SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.2240.2240.2271. (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 5.4Linux 5.8Linux 5.912345Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.22 / Avg: 0.22 / Max: 0.23Min: 0.23 / Avg: 0.23 / Max: 0.231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.91.21282.42563.63844.85126.064SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 35.395.375.32MIN: 5.18 / MAX: 7.59MIN: 5.15 / MAX: 6.5MIN: 5.15 / MAX: 6.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9246810Min: 5.35 / Avg: 5.39 / Max: 5.41Min: 5.31 / Avg: 5.37 / Max: 5.45Min: 5.31 / Avg: 5.32 / Max: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5.4Linux 5.8Linux 5.9816243240SE +/- 0.41, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 333.6133.1833.341. (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 5.4Linux 5.8Linux 5.9714212835Min: 33.17 / Avg: 33.61 / Max: 34.42Min: 32.94 / Avg: 33.18 / Max: 33.33Min: 33.14 / Avg: 33.34 / Max: 33.471. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 1342.52, N = 3SE +/- 1485.67, N = 3SE +/- 2047.84, N = 31508889.91489793.31490324.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KMin: 1507297.2 / Avg: 1508889.9 / Max: 1511558.3Min: 1486858.6 / Avg: 1489793.27 / Max: 1491663.6Min: 1487947.4 / Avg: 1490324.3 / Max: 1494401.3

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 OnlyLinux 5.4Linux 5.8Linux 5.950K100K150K200K250KSE +/- 213.59, N = 3SE +/- 730.56, N = 3SE +/- 39.90, N = 32235352234402207091. (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 5.4Linux 5.8Linux 5.940K80K120K160K200KMin: 223266.32 / Avg: 223535.1 / Max: 223957.02Min: 222284.86 / Avg: 223439.85 / Max: 224792.36Min: 220630.29 / Avg: 220708.69 / Max: 220760.81. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.866.866.78MIN: 6.72 / MAX: 8.58MIN: 6.75 / MAX: 8.38MIN: 6.71 / MAX: 8.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.93691215Min: 6.83 / Avg: 6.86 / Max: 6.88Min: 6.81 / Avg: 6.86 / Max: 6.92Min: 6.76 / Avg: 6.78 / Max: 6.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.948121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 316.3216.1816.13MIN: 16.09 / MAX: 17.39MIN: 16.04 / MAX: 24.32MIN: 16.05 / MAX: 16.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.948121620Min: 16.23 / Avg: 16.32 / Max: 16.41Min: 16.11 / Avg: 16.18 / Max: 16.28Min: 16.1 / Avg: 16.13 / Max: 16.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.90.9811.9622.9433.9244.905SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 34.364.334.31MIN: 4.29 / MAX: 6.21MIN: 4.21 / MAX: 5.47MIN: 4.19 / MAX: 5.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9246810Min: 4.35 / Avg: 4.36 / Max: 4.38Min: 4.27 / Avg: 4.33 / Max: 4.4Min: 4.25 / Avg: 4.31 / Max: 4.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5.4Linux 5.8Linux 5.92004006008001000SE +/- 14.01, N = 3SE +/- 11.14, N = 3SE +/- 9.67, N = 31080109210901. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.92004006008001000Min: 1053 / Avg: 1080 / Max: 1100Min: 1077 / Avg: 1092.33 / Max: 1114Min: 1080 / Avg: 1089.67 / Max: 11091. (CXX) g++ options: -flto -pthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9601201802403002762742771. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.980160240320400SE +/- 2.73, N = 3SE +/- 3.51, N = 3SE +/- 5.90, N = 33753753711. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.970140210280350Min: 370 / Avg: 375.33 / Max: 379Min: 371 / Avg: 375 / Max: 382Min: 359 / Avg: 370.67 / Max: 3781. (CXX) g++ options: -flto -pthread

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: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 626.78, N = 3SE +/- 1845.14, N = 3SE +/- 3106.88, N = 31501065.51485142.51487150.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KMin: 1499820.2 / Avg: 1501065.5 / Max: 1501812.6Min: 1482302.9 / Avg: 1485142.47 / Max: 1488603.4Min: 1483527.1 / Avg: 1487150.67 / Max: 1493334

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 336.5936.9736.691. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9816243240Min: 36.32 / Avg: 36.59 / Max: 37.01Min: 36.73 / Avg: 36.97 / Max: 37.14Min: 36.25 / Avg: 36.69 / Max: 37.111. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.9816243240SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 332.3332.6332.65MIN: 31.73 / MAX: 44.73MIN: 32.18 / MAX: 125.71MIN: 31.92 / MAX: 59.371. (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 5.4Linux 5.8Linux 5.9714212835Min: 32.25 / Avg: 32.33 / Max: 32.42Min: 32.47 / Avg: 32.63 / Max: 32.83Min: 32.39 / Avg: 32.65 / Max: 32.921. (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.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 1.08, N = 3SE +/- 1.66, N = 3SE +/- 0.75, N = 39229199131. (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 5.4Linux 5.8Linux 5.9160320480640800Min: 920.26 / Avg: 921.55 / Max: 923.69Min: 916.24 / Avg: 918.91 / Max: 921.95Min: 911.84 / Avg: 913.19 / Max: 914.441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: 20k AtomsLinux 5.4Linux 5.8Linux 5.91.17252.3453.51754.695.8625SE +/- 0.019, N = 3SE +/- 0.010, N = 3SE +/- 0.013, N = 35.2115.1615.1831. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.4Linux 5.8Linux 5.9246810Min: 5.18 / Avg: 5.21 / Max: 5.24Min: 5.14 / Avg: 5.16 / Max: 5.18Min: 5.16 / Avg: 5.18 / Max: 5.211. (CXX) g++ options: -O3 -pthread -lm

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 5.4Linux 5.8Linux 5.90.59021.18041.77062.36082.951SE +/- 0.001, N = 3SE +/- 0.021, N = 3SE +/- 0.018, N = 32.5982.6212.623
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9246810Min: 2.6 / Avg: 2.6 / Max: 2.6Min: 2.6 / Avg: 2.62 / Max: 2.66Min: 2.6 / Avg: 2.62 / Max: 2.66

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.90.47480.94961.42441.89922.374SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.112.092.10
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.9246810Min: 2.1 / Avg: 2.11 / Max: 2.12Min: 2.09 / Avg: 2.09 / Max: 2.1Min: 2.09 / Avg: 2.1 / Max: 2.11

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 5.4Linux 5.8Linux 5.90.24640.49280.73920.98561.232SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.0851.0881.0951. (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 5.4Linux 5.8Linux 5.9246810Min: 1.08 / Avg: 1.09 / Max: 1.09Min: 1.09 / Avg: 1.09 / Max: 1.09Min: 1.09 / Avg: 1.1 / Max: 1.11. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 5.4Linux 5.8Linux 5.9612182430SE +/- 0.10, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 426.6726.9126.791. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8Linux 5.9612182430Min: 26.38 / Avg: 26.67 / Max: 26.81Min: 26.87 / Avg: 26.91 / Max: 26.94Min: 26.76 / Avg: 26.79 / Max: 26.821. (CC) gcc options: -O2 -std=c99

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.930060090012001500SE +/- 1.67, N = 3SE +/- 0.88, N = 3SE +/- 9.87, N = 31249123812481. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.92004006008001000Min: 1247 / Avg: 1248.67 / Max: 1252Min: 1237 / Avg: 1238.33 / Max: 1240Min: 1232 / Avg: 1248 / Max: 12661. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.940K80K120K160K200KSE +/- 146.68, N = 3SE +/- 1740.82, N = 3SE +/- 1351.25, N = 31898441910551894131. (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 5.4Linux 5.8Linux 5.930K60K90K120K150KMin: 189607.61 / Avg: 189843.65 / Max: 190112.54Min: 189006.16 / Avg: 191055.2 / Max: 194517.42Min: 187987.21 / Avg: 189413.02 / Max: 192114.131. (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 5.4Linux 5.8Linux 5.910M20M30M40M50MSE +/- 107974.09, N = 3SE +/- 232518.17, N = 3SE +/- 67991.58, N = 347984229.147645020.948050786.5
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.98M16M24M32M40MMin: 47854209.9 / Avg: 47984229.07 / Max: 48198558.7Min: 47193467.6 / Avg: 47645020.9 / Max: 47967072.2Min: 47915912 / Avg: 48050786.53 / Max: 48133230.8

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 5.4Linux 5.8Linux 5.97K14K21K28K35KSE +/- 228.14, N = 3SE +/- 21.07, N = 3SE +/- 68.44, N = 334978.8034709.2634685.511. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.96K12K18K24K30KMin: 34740.44 / Avg: 34978.8 / Max: 35434.92Min: 34673.05 / Avg: 34709.26 / Max: 34746.04Min: 34577.84 / Avg: 34685.51 / Max: 34812.551. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 5.4Linux 5.8Linux 5.90.19080.38160.57240.76320.954SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.8480.8410.8441. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9246810Min: 0.85 / Avg: 0.85 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.851. (CXX) g++ options: -O3 -pthread -lrt -lpthread -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: alexnetLinux 5.4Linux 5.8Linux 5.948121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.0213.9313.91MIN: 13.91 / MAX: 14.99MIN: 13.86 / MAX: 14.53MIN: 13.85 / MAX: 15.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.948121620Min: 14.02 / Avg: 14.02 / Max: 14.02Min: 13.92 / Avg: 13.93 / Max: 13.94Min: 13.9 / Avg: 13.91 / Max: 13.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.90.29030.58060.87091.16121.4515SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.291.281.29
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.9246810Min: 1.28 / Avg: 1.29 / Max: 1.3Min: 1.27 / Avg: 1.28 / Max: 1.28Min: 1.28 / Avg: 1.29 / Max: 1.29

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: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 327.7027.4927.61MIN: 27.45 / MAX: 28.81MIN: 27.38 / MAX: 28.86MIN: 27.49 / MAX: 48.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9612182430Min: 27.66 / Avg: 27.7 / Max: 27.75Min: 27.45 / Avg: 27.49 / Max: 27.52Min: 27.56 / Avg: 27.61 / Max: 27.691. (CXX) g++ options: -O3 -rdynamic -lgomp -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.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.4Linux 5.8Linux 5.90.05940.11880.17820.23760.297SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 30.2630.2620.2641. (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 5.4Linux 5.8Linux 5.912345Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.26 / Avg: 0.26 / Max: 0.27Min: 0.26 / Avg: 0.26 / Max: 0.271. (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 100Linux 5.4Linux 5.8Linux 5.90.47810.95621.43431.91242.3905SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.001, N = 32.1102.1252.1131. (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 5.4Linux 5.8Linux 5.9246810Min: 2.11 / Avg: 2.11 / Max: 2.11Min: 2.11 / Avg: 2.13 / Max: 2.14Min: 2.11 / Avg: 2.11 / Max: 2.111. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5.4Linux 5.8Linux 5.9246810SE +/- 0.019, N = 3SE +/- 0.035, N = 3SE +/- 0.049, N = 38.6368.6898.6971. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8Linux 5.93691215Min: 8.61 / Avg: 8.64 / Max: 8.67Min: 8.65 / Avg: 8.69 / Max: 8.76Min: 8.61 / Avg: 8.7 / Max: 8.781. (CC) gcc options: -std=c99 -O3 -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: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.90.77271.54542.31813.09083.8635SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 33.4243.4103.434MIN: 3.33 / MAX: 4.49MIN: 3.37 / MAX: 4.98MIN: 3.38 / MAX: 5.141. (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: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9246810Min: 3.42 / Avg: 3.42 / Max: 3.44Min: 3.4 / Avg: 3.41 / Max: 3.42Min: 3.42 / Avg: 3.43 / Max: 3.451. (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.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteLinux 5.4Linux 5.8Linux 5.93K6K9K12K15KSE +/- 16.00, N = 3SE +/- 23.85, N = 3SE +/- 26.90, N = 31322913222131381. (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 5.4Linux 5.8Linux 5.92K4K6K8K10KMin: 13204.01 / Avg: 13228.96 / Max: 13258.79Min: 13178.39 / Avg: 13221.76 / Max: 13260.64Min: 13085.77 / Avg: 13138.22 / Max: 13174.811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.4Linux 5.8Linux 5.90.29610.59220.88831.18441.4805SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 31.3161.3071.309
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.4Linux 5.8Linux 5.9246810Min: 1.3 / Avg: 1.32 / Max: 1.33Min: 1.3 / Avg: 1.31 / Max: 1.32Min: 1.28 / Avg: 1.31 / Max: 1.34

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 5.4Linux 5.8Linux 5.948121620SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.3115.3715.261. (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 5.4Linux 5.8Linux 5.948121620Min: 15.16 / Avg: 15.31 / Max: 15.39Min: 15.35 / Avg: 15.37 / Max: 15.38Min: 15.25 / Avg: 15.26 / Max: 15.271. (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: 100 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.4Linux 5.8Linux 5.90.85641.71282.56923.42564.282SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 33.7803.7823.8061. (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 5.4Linux 5.8Linux 5.9246810Min: 3.77 / Avg: 3.78 / Max: 3.79Min: 3.77 / Avg: 3.78 / Max: 3.79Min: 3.8 / Avg: 3.81 / Max: 3.821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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: vgg16Linux 5.4Linux 5.8Linux 5.91428425670SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 360.3459.9660.24MIN: 59.85 / MAX: 61.66MIN: 59.74 / MAX: 70.95MIN: 60.1 / MAX: 61.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.91224364860Min: 60.27 / Avg: 60.34 / Max: 60.39Min: 59.84 / Avg: 59.96 / Max: 60.04Min: 60.19 / Avg: 60.24 / Max: 60.271. (CXX) g++ options: -O3 -rdynamic -lgomp -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: inception-v3Linux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 338.8638.7939.03MIN: 38.4 / MAX: 50.79MIN: 38.44 / MAX: 51.17MIN: 38.78 / MAX: 49.861. (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 5.4Linux 5.8Linux 5.9816243240Min: 38.71 / Avg: 38.86 / Max: 39.14Min: 38.55 / Avg: 38.79 / Max: 39.04Min: 38.91 / Avg: 39.03 / Max: 39.131. (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: googlenetLinux 5.4Linux 5.8Linux 5.948121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 315.0515.0314.96MIN: 14.84 / MAX: 16.29MIN: 14.85 / MAX: 15.79MIN: 14.81 / MAX: 15.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.948121620Min: 15.03 / Avg: 15.05 / Max: 15.09Min: 15 / Avg: 15.03 / Max: 15.06Min: 14.94 / Avg: 14.96 / Max: 14.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9160320480640800SE +/- 4.48, N = 3SE +/- 3.62, N = 3SE +/- 2.07, N = 3742.5738.2742.21. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9130260390520650Min: 733.7 / Avg: 742.5 / Max: 748.4Min: 731.4 / Avg: 738.23 / Max: 743.7Min: 739.5 / Avg: 742.23 / Max: 746.31. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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: resnet50Linux 5.4Linux 5.8Linux 5.9714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 329.4829.3129.32MIN: 29.07 / MAX: 30.92MIN: 29.07 / MAX: 30.96MIN: 29.08 / MAX: 30.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9714212835Min: 29.44 / Avg: 29.48 / Max: 29.54Min: 29.28 / Avg: 29.31 / Max: 29.35Min: 29.28 / Avg: 29.32 / Max: 29.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.912002400360048006000SE +/- 6.00, N = 3SE +/- 22.59, N = 3SE +/- 16.23, N = 35477.405486.075455.65
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.910002000300040005000Min: 5467.77 / Avg: 5477.4 / Max: 5488.41Min: 5441.14 / Avg: 5486.07 / Max: 5512.7Min: 5431.07 / Avg: 5455.65 / Max: 5486.3

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: resnet18Linux 5.4Linux 5.8Linux 5.948121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 315.0014.9214.92MIN: 14.82 / MAX: 16.06MIN: 14.82 / MAX: 15.21MIN: 14.84 / MAX: 15.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.948121620Min: 14.97 / Avg: 15 / Max: 15.02Min: 14.88 / Avg: 14.92 / Max: 14.94Min: 14.91 / Avg: 14.92 / Max: 14.931. (CXX) g++ options: -O3 -rdynamic -lgomp -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 OnlyLinux 5.4Linux 5.8Linux 5.950K100K150K200K250KSE +/- 137.05, N = 3SE +/- 647.57, N = 3SE +/- 3040.02, N = 32163122158612152261. (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 5.4Linux 5.8Linux 5.940K80K120K160K200KMin: 216138.87 / Avg: 216311.8 / Max: 216582.44Min: 215046.56 / Avg: 215861.31 / Max: 217140.56Min: 211336.68 / Avg: 215225.64 / Max: 221217.611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.97001400210028003500SE +/- 6.51, N = 3SE +/- 1.54, N = 3SE +/- 8.04, N = 33039.433042.113054.02
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.95001000150020002500Min: 3026.63 / Avg: 3039.43 / Max: 3047.86Min: 3039.07 / Avg: 3042.11 / Max: 3044.08Min: 3039.09 / Avg: 3054.02 / Max: 3066.65

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.90.47250.9451.41751.892.3625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 32.092.092.10
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.9246810Min: 2.09 / Avg: 2.09 / Max: 2.1Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.07 / Avg: 2.1 / Max: 2.12

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 5.4Linux 5.8Linux 5.91.2762.5523.8285.1046.38SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 35.6445.6535.671MIN: 5.52 / MAX: 7.79MIN: 5.62 / MAX: 7.8MIN: 5.6 / MAX: 8.21. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9246810Min: 5.64 / Avg: 5.64 / Max: 5.65Min: 5.64 / Avg: 5.65 / Max: 5.67Min: 5.66 / Avg: 5.67 / Max: 5.681. (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.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 3.98, N = 3SE +/- 0.69, N = 3SE +/- 1.32, N = 38428388391. (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 5.4Linux 5.8Linux 5.9150300450600750Min: 835.03 / Avg: 841.99 / Max: 848.83Min: 837.37 / Avg: 838.12 / Max: 839.49Min: 837.23 / Avg: 839.21 / Max: 841.711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 5.4Linux 5.8Linux 5.91530456075SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 368.8969.2169.02
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.91326395265Min: 68.83 / Avg: 68.89 / Max: 68.96Min: 69.17 / Avg: 69.21 / Max: 69.28Min: 68.99 / Avg: 69.02 / Max: 69.05

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.912002400360048006000SE +/- 7.15, N = 3SE +/- 22.34, N = 3SE +/- 28.44, N = 35453.745459.965435.03
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.99001800270036004500Min: 5443.9 / Avg: 5453.74 / Max: 5467.64Min: 5415.28 / Avg: 5459.96 / Max: 5482.36Min: 5385.11 / Avg: 5435.03 / Max: 5483.59

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 5.4Linux 5.8Linux 5.9246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.656.636.66
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.93691215Min: 6.64 / Avg: 6.65 / Max: 6.66Min: 6.61 / Avg: 6.63 / Max: 6.64Min: 6.66 / Avg: 6.66 / Max: 6.67

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 5.4Linux 5.8Linux 5.910K20K30K40K50KSE +/- 28.11, N = 3SE +/- 38.04, N = 3SE +/- 19.64, N = 34495144750447661. (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 5.4Linux 5.8Linux 5.98K16K24K32K40KMin: 44911 / Avg: 44950.67 / Max: 45005Min: 44674 / Avg: 44750 / Max: 44791Min: 44733 / Avg: 44766.33 / Max: 448011. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.950100150200250SE +/- 0.49, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3237.62236.56237.591. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.94080120160200Min: 236.68 / Avg: 237.62 / Max: 238.31Min: 236.29 / Avg: 236.56 / Max: 237.03Min: 237.24 / Avg: 237.59 / Max: 238.181. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.920406080100SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3102.32102.58102.771. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.920406080100Min: 102.29 / Avg: 102.32 / Max: 102.34Min: 102.44 / Avg: 102.58 / Max: 102.72Min: 102.69 / Avg: 102.77 / Max: 102.821. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.9400800120016002000SE +/- 1.73, N = 3SE +/- 3.06, N = 3SE +/- 17.32, N = 31905.451900.501897.05
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.930060090012001500Min: 1903 / Avg: 1905.45 / Max: 1908.79Min: 1894.74 / Avg: 1900.5 / Max: 1905.16Min: 1875.53 / Avg: 1897.05 / Max: 1931.33

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: 100 - Mode: Read Only - Average LatencyLinux 5.4Linux 5.8Linux 5.90.10460.20920.31380.41840.523SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 30.4630.4630.4651. (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 5.4Linux 5.8Linux 5.912345Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.45 / Avg: 0.46 / Max: 0.471. (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, Highest CompressionLinux 5.4Linux 5.8Linux 5.9246810SE +/- 0.015, N = 3SE +/- 0.001, N = 3SE +/- 0.015, N = 36.3836.3716.3981. (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 5.4Linux 5.8Linux 5.93691215Min: 6.37 / Avg: 6.38 / Max: 6.41Min: 6.37 / Avg: 6.37 / Max: 6.37Min: 6.38 / Avg: 6.4 / Max: 6.431. (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: 100 - Clients: 1 - Mode: Read Write - Average LatencyLinux 5.4Linux 5.8Linux 5.90.26840.53680.80521.07361.342SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.1881.1931.1911. (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 5.4Linux 5.8Linux 5.9246810Min: 1.18 / Avg: 1.19 / Max: 1.2Min: 1.19 / Avg: 1.19 / Max: 1.19Min: 1.19 / Avg: 1.19 / Max: 1.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 5.4Linux 5.8Linux 5.960120180240300SE +/- 0.73, N = 3SE +/- 0.67, N = 3SE +/- 0.29, N = 3297.60297.46296.40MIN: 296.11 / MAX: 299.6MIN: 296 / MAX: 299.12MIN: 295.26 / MAX: 306.531. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.950100150200250Min: 296.6 / Avg: 297.6 / Max: 299.01Min: 296.54 / Avg: 297.46 / Max: 298.77Min: 295.93 / Avg: 296.39 / Max: 296.931. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 5.4Linux 5.8Linux 5.92004006008001000SE +/- 2.23, N = 3SE +/- 2.67, N = 3SE +/- 1.97, N = 3805.91809.10805.91
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.4Linux 5.8Linux 5.9140280420560700Min: 801.83 / Avg: 805.91 / Max: 809.5Min: 804.88 / Avg: 809.09 / Max: 814.03Min: 802.31 / Avg: 805.91 / Max: 809.08

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 5.4Linux 5.8Linux 5.9100M200M300M400M500MSE +/- 1229247.58, N = 3SE +/- 289393.73, N = 3SE +/- 790862.43, N = 3478832819.90480635289.10480154325.471. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.980M160M240M320M400MMin: 476377399.5 / Avg: 478832819.9 / Max: 480166981.14Min: 480142070.73 / Avg: 480635289.1 / Max: 481144191.86Min: 478882366.44 / Avg: 480154325.47 / Max: 481604541.031. (CC) gcc options: -O3 -march=native -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.9400800120016002000SE +/- 3.74, N = 3SE +/- 8.35, N = 3SE +/- 4.42, N = 31889.001896.051891.07
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.930060090012001500Min: 1884.17 / Avg: 1889 / Max: 1896.37Min: 1881.34 / Avg: 1896.05 / Max: 1910.25Min: 1882.28 / Avg: 1891.07 / Max: 1896.3

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 5.4Linux 5.8Linux 5.948121620SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 317.1017.0817.14
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.948121620Min: 17.04 / Avg: 17.1 / Max: 17.14Min: 17.02 / Avg: 17.08 / Max: 17.14Min: 17.04 / Avg: 17.14 / Max: 17.26

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 5.4Linux 5.8Linux 5.91.29172.58343.87515.16686.4585SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.017, N = 35.7415.7225.732MIN: 5.61 / MAX: 17.94MIN: 5.64 / MAX: 13.66MIN: 5.68 / MAX: 18.291. (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 5.4Linux 5.8Linux 5.9246810Min: 5.72 / Avg: 5.74 / Max: 5.77Min: 5.67 / Avg: 5.72 / Max: 5.76Min: 5.7 / Avg: 5.73 / Max: 5.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -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.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 2.46, N = 3SE +/- 0.69, N = 3SE +/- 1.07, N = 399710009991. (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 5.4Linux 5.8Linux 5.92004006008001000Min: 993.35 / Avg: 997.39 / Max: 1001.85Min: 999.44 / Avg: 1000.14 / Max: 1001.52Min: 996.99 / Avg: 998.91 / Max: 1000.681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.97001400210028003500SE +/- 18.26, N = 3SE +/- 8.27, N = 3SE +/- 6.78, N = 33056.103061.543064.73
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.95001000150020002500Min: 3023.99 / Avg: 3056.1 / Max: 3087.21Min: 3049.22 / Avg: 3061.54 / Max: 3077.25Min: 3054.24 / Avg: 3064.73 / Max: 3077.42

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 2788.70, N = 5SE +/- 3875.16, N = 5SE +/- 842.80, N = 51520666152489515223291. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KMin: 1513126 / Avg: 1520666 / Max: 1529938Min: 1517294 / Avg: 1524894.8 / Max: 1534200Min: 1521486 / Avg: 1522328.8 / Max: 15257001. (CC) gcc options: -O3 -march=native

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: 50 - Mode: Read Write - Average LatencyLinux 5.4Linux 5.8Linux 5.91122334455SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 350.1450.0050.061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.4Linux 5.8Linux 5.91020304050Min: 49.91 / Avg: 50.14 / Max: 50.34Min: 49.93 / Avg: 50 / Max: 50.03Min: 49.97 / Avg: 50.06 / Max: 50.161. (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 5.4Linux 5.8Linux 5.920406080100SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 3102.42102.32102.141. (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 5.4Linux 5.8Linux 5.920406080100Min: 102.21 / Avg: 102.42 / Max: 102.61Min: 102.04 / Avg: 102.32 / Max: 102.66Min: 102.13 / Avg: 102.14 / Max: 102.151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 5.4Linux 5.8Linux 5.920K40K60K80K100KSE +/- 43.55, N = 3SE +/- 22.82, N = 3SE +/- 65.68, N = 38968289439895191. (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 5.4Linux 5.8Linux 5.916K32K48K64K80KMin: 89635 / Avg: 89682 / Max: 89769Min: 89399 / Avg: 89439.33 / Max: 89478Min: 89388 / Avg: 89519 / Max: 895931. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.99K18K27K36K45KSE +/- 76.54, N = 3SE +/- 127.94, N = 3SE +/- 139.95, N = 34066540732407621. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.97K14K21K28K35KMin: 40554 / Avg: 40665.33 / Max: 40812Min: 40548 / Avg: 40732 / Max: 40978Min: 40506 / Avg: 40762 / Max: 409881. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.9120240360480600SE +/- 0.36, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3576.45575.10575.291. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.4Linux 5.8Linux 5.9100200300400500Min: 575.74 / Avg: 576.45 / Max: 576.92Min: 574.74 / Avg: 575.1 / Max: 575.49Min: 575.03 / Avg: 575.29 / Max: 575.491. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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 5.4Linux 5.8Linux 5.950K100K150K200K250KSE +/- 116.96, N = 3SE +/- 101.30, N = 3SE +/- 39.84, N = 32312852308752314071. (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 5.4Linux 5.8Linux 5.940K80K120K160K200KMin: 231148 / Avg: 231285.33 / Max: 231518Min: 230707 / Avg: 230874.67 / Max: 231057Min: 231337 / Avg: 231406.67 / Max: 2314751. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 1845.48, N = 3SE +/- 1990.47, N = 3SE +/- 2350.67, N = 31467255.91470396.71469762.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KMin: 1464533.5 / Avg: 1467255.87 / Max: 1470775.5Min: 1466998 / Avg: 1470396.73 / Max: 1473891.2Min: 1465290.3 / Avg: 1469762.5 / Max: 1473254.2

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 5.4Linux 5.8Linux 5.92004006008001000SE +/- 1.18, N = 3SE +/- 1.75, N = 3SE +/- 0.10, N = 39779789791. (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 5.4Linux 5.8Linux 5.92004006008001000Min: 974.8 / Avg: 976.65 / Max: 978.83Min: 974.39 / Avg: 977.65 / Max: 980.37Min: 979.19 / Avg: 979.34 / Max: 979.521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 5.4Linux 5.8Linux 5.920K40K60K80K100KSE +/- 150.04, N = 3SE +/- 55.43, N = 3SE +/- 120.38, N = 31157411156061158051. (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 5.4Linux 5.8Linux 5.920K40K60K80K100KMin: 115501 / Avg: 115741 / Max: 116017Min: 115497 / Avg: 115606 / Max: 115678Min: 115679 / Avg: 115805.33 / Max: 1160461. (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 5.4Linux 5.8Linux 5.9510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 322.4222.3922.391. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.4Linux 5.8Linux 5.9510152025Min: 22.4 / Avg: 22.42 / Max: 22.45Min: 22.33 / Avg: 22.39 / Max: 22.43Min: 22.34 / Avg: 22.39 / Max: 22.431. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9100200300400500SE +/- 0.38, N = 3SE +/- 0.20, N = 3SE +/- 0.38, N = 3450.2450.7450.51. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.980160240320400Min: 449.6 / Avg: 450.2 / Max: 450.9Min: 450.3 / Avg: 450.67 / Max: 451Min: 449.8 / Avg: 450.47 / Max: 451.11. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.4Linux 5.8Linux 5.92M4M6M8M10MSE +/- 10258.53, N = 3SE +/- 7070.82, N = 3SE +/- 4834.10, N = 39456419944883294470861. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.4Linux 5.8Linux 5.91.6M3.2M4.8M6.4M8MMin: 9436457 / Avg: 9456419 / Max: 9470505Min: 9438003 / Avg: 9448832 / Max: 9462123Min: 9441078 / Avg: 9447086 / Max: 94566501. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 5.4Linux 5.8Linux 5.9510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 322.4322.4322.41
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9510152025Min: 22.37 / Avg: 22.43 / Max: 22.48Min: 22.4 / Avg: 22.43 / Max: 22.47Min: 22.37 / Avg: 22.41 / Max: 22.43

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 5.4Linux 5.8Linux 5.960120180240300SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3278.19278.05278.08MIN: 277.89 / MAX: 278.76MIN: 277.7 / MAX: 278.79MIN: 277.86 / MAX: 278.961. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.950100150200250Min: 278.08 / Avg: 278.19 / Max: 278.31Min: 277.79 / Avg: 278.05 / Max: 278.27Min: 278 / Avg: 278.08 / Max: 278.231. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.91.2152.433.6454.866.075SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.45.45.41. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9246810Min: 5.3 / Avg: 5.37 / Max: 5.4Min: 5.4 / Avg: 5.4 / Max: 5.4Min: 5.4 / Avg: 5.4 / Max: 5.41. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.90.1620.3240.4860.6480.81SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.720.720.72
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.9246810Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.72 / Avg: 0.72 / Max: 0.73Min: 0.72 / Avg: 0.72 / Max: 0.73

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 5.4Linux 5.8Linux 5.90.30980.61960.92941.23921.549SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 31.3771.3771.3771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.9246810Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 1.37 / Avg: 1.38 / Max: 1.391. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.960120180240300SE +/- 13.28, N = 9SE +/- 8.71, N = 9SE +/- 2.32, N = 3250.26263.29265.461. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.950100150200250Min: 173.79 / Avg: 250.26 / Max: 304.42Min: 221.26 / Avg: 263.29 / Max: 297.09Min: 262.13 / Avg: 265.46 / Max: 269.931. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9120240360480600SE +/- 15.39, N = 9SE +/- 8.48, N = 12SE +/- 6.82, N = 12548.12559.12571.081. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxLinux 5.4Linux 5.8Linux 5.9100200300400500Min: 470.95 / Avg: 548.12 / Max: 604.41Min: 497.82 / Avg: 559.12 / Max: 604.06Min: 533.24 / Avg: 571.08 / Max: 602.51. Linux 5.4: firefox 80.02. Linux 5.8: firefox 80.03. Linux 5.9: firefox 81.0

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 5.4Linux 5.8Linux 5.91.19122.38243.57364.76485.956SE +/- 0.013, N = 3SE +/- 0.066, N = 15SE +/- 0.125, N = 155.2945.1735.0571. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9246810Min: 5.27 / Avg: 5.29 / Max: 5.32Min: 4.61 / Avg: 5.17 / Max: 5.36Min: 3.95 / Avg: 5.06 / Max: 5.331. (CXX) g++ options: -O3 -pthread -lm

131 Results Shown

RealSR-NCNN
NCNN:
  Vulkan GPU - blazeface
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - mnasnet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - googlenet
  Vulkan GPU - mobilenet
  Vulkan GPU - resnet18
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - squeezenet
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - vgg16
Apache CouchDB
VkFFT
GLmark2
LibRaw
MPV
PostgreSQL pgbench:
  1 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  100 - 1 - Read Only
  100 - 1 - Read Only - Average Latency
Selenium
MPV
Selenium
PostgreSQL pgbench:
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
LeelaChessZero
Mlpack Benchmark
OpenVINO
Selenium
Kripke
Selenium:
  StyleBench - Firefox
  CanvasMark - Firefox
NCNN
PostgreSQL pgbench
Incompact3D
NCNN:
  CPU - shufflenet-v2
  CPU - mobilenet
PostgreSQL pgbench
NCNN
OpenVINO
PostgreSQL pgbench
NCNN
WebP Image Encode
InfluxDB
PostgreSQL pgbench
NCNN:
  CPU - efficientnet-b0
  CPU - squeezenet
  CPU - mnasnet
LeelaChessZero
Selenium
LeelaChessZero
InfluxDB
Selenium
Mobile Neural Network
PostgreSQL pgbench
LAMMPS Molecular Dynamics Simulator
System GZIP Decompression
OpenVINO
PostgreSQL pgbench
eSpeak-NG Speech Engine
Selenium
PostgreSQL pgbench
BYTE Unix Benchmark
FFTE
GROMACS
NCNN
OpenVINO
NCNN
PostgreSQL pgbench
WebP Image Encode
Timed MAFFT Alignment
Mobile Neural Network
PostgreSQL pgbench
Sunflow Rendering System
WebP Image Encode
PostgreSQL pgbench
NCNN
Mobile Neural Network
NCNN
Selenium
NCNN
OpenVINO
NCNN
PostgreSQL pgbench
OpenVINO:
  Person Detection 0106 FP16 - CPU
  Face Detection 0106 FP16 - CPU
Mobile Neural Network
PostgreSQL pgbench
Mlpack Benchmark
OpenVINO
Mlpack Benchmark
Caffe
Selenium
Timed HMMer Search
OpenVINO
PostgreSQL pgbench
WebP Image Encode
PostgreSQL pgbench
TNN
Timed LLVM Compilation
Hierarchical INTegration
OpenVINO
Dolfyn
Mobile Neural Network
PostgreSQL pgbench
OpenVINO
TSCP
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 100 - Read Write - Average Latency
Caffe
Selenium
GPAW
Caffe
InfluxDB
PostgreSQL pgbench
Caffe
RNNoise
Selenium
Crafty
Mlpack Benchmark
TNN
Selenium
OpenVINO
WebP Image Encode
Selenium:
  MotionMark - Firefox
  Basemark - Firefox
LAMMPS Molecular Dynamics Simulator

Linux 5.4

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel

OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Vulnerable + 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

Testing initiated at 11 October 2020 06:49 by user phoronix.

Linux 5.8

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel

OS: Ubuntu 20.04, Kernel: 5.8.14-050814-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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

Testing initiated at 13 October 2020 17:43 by user phoronix.

Linux 5.9

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel

OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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

Testing initiated at 13 October 2020 06:16 by user phoronix.