sfsd

Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 CFL GT2 16GB on Ubuntu 22.04 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 2209060-NE-SFSD7970842
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Timed Code Compilation 5 Tests
C/C++ Compiler Tests 6 Tests
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HPC - High Performance Computing 5 Tests
Imaging 2 Tests
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Multi-Core 13 Tests
Programmer / Developer System Benchmarks 7 Tests
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A
September 05 2022
  16 Hours, 49 Minutes
B
September 05 2022
  16 Hours, 49 Minutes
C
September 05 2022
  2 Days, 15 Hours, 28 Minutes
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A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

B

C

Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB Toshiba THNSN5128GPU7, Graphics: ASUS Intel UHD 630 CFL GT2 16GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Intel I219-V

OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

sfsdOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads)ASUS TUF Z370-PLUS GAMING (2001 BIOS)Intel 8th Gen Core16GB128GB Toshiba THNSN5128GPU7ASUS Intel UHD 630 CFL GT2 16GB (1200MHz)Realtek ALC887-VDDELL S2409WIntel I219-VUbuntu 22.045.19.0-rc6-phx-retbleed (x86_64)GNOME Shell 42.4X Server + Wayland4.6 Mesa 22.0.11.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSfsd BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9 - OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04) - Python 3.10.4- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

ABCResult OverviewPhoronix Test Suite100%103%106%109%RedisOpenVINOUnpacking The Linux KernelNode.js V8 Web Tooling BenchmarkTimed Wasmer Compilationmemtier_benchmarkPrimesieveClickHouseSVT-AV17-Zip CompressionInkscapeTimed Node.js CompilationAI Benchmark AlphaTimed PHP CompilationNCNNGraphicsMagickMobile Neural NetworkDragonflydbLAMMPS Molecular Dynamics SimulatorC-BloscASTC EncoderTimed Erlang/OTP CompilationApache SparkUnvanquishedTimed CPython CompilationAircrack-ngNatron

sfsdredis: SET - 50redis: SADD - 1000spark: 40000000 - 100 - Repartition Test Timeopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUmemtier-benchmark: Redis - 50 - 1:1spark: 1000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 500 - Repartition Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Repartition Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - Repartition Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 100 - Repartition Test Timeredis: LPUSH - 50openvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUspark: 20000000 - 100 - Repartition Test Timespark: 40000000 - 1000 - Inner Join Test Timeopenvino: Person Detection FP32 - CPUclickhouse: 100M Rows Web Analytics Dataset, Third Runspark: 10000000 - 2000 - Group By Test Timeredis: SADD - 500openvino: Machine Translation EN To DE FP16 - CPUunvanquished: 1920 x 1080 - Mediumunvanquished: 1920 x 1080 - Highopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUspark: 20000000 - 1000 - Inner Join Test Timegraphics-magick: Rotateopenvino: Face Detection FP16-INT8 - CPUspark: 40000000 - 500 - Broadcast Inner Join Test Timeopenvino: Face Detection FP16-INT8 - CPUredis: GET - 50spark: 1000000 - 500 - Repartition Test Timespark: 40000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - Group By Test Timespark: 10000000 - 100 - Group By Test Timeopenvino: Person Detection FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUspark: 1000000 - 100 - Group By Test Timeopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUsvt-av1: Preset 10 - Bosphorus 4Kncnn: CPU - shufflenet-v2openvino: Person Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUmnn: nasnetspark: 1000000 - 500 - Group By Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - Group By Test Timespark: 10000000 - 500 - Group By Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 500 - Inner Join Test Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 500 - Group By Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timeprimesieve: 1e13spark: 1000000 - 2000 - Repartition Test Timeopenvino: Person Detection FP16 - CPUspark: 40000000 - 100 - Group By Test Timespark: 40000000 - 500 - Inner Join Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timeopenvino: Vehicle Detection FP16-INT8 - CPUspark: 10000000 - 100 - Repartition Test Timeopenvino: Vehicle Detection FP16-INT8 - CPUmemtier-benchmark: Redis - 50 - 1:5spark: 20000000 - 500 - Inner Join Test Timememtier-benchmark: Redis - 500 - 1:5spark: 20000000 - 1000 - Broadcast Inner Join Test Timememtier-benchmark: Redis - 100 - 1:1spark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Repartition Test Timesvt-av1: Preset 8 - Bosphorus 4Kncnn: CPU - FastestDetspark: 1000000 - 2000 - Inner Join Test Timespark: 40000000 - 1000 - Group By Test Timeclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cachespark: 40000000 - 2000 - Group By Test Timespark: 20000000 - 100 - Inner Join Test Timememtier-benchmark: Redis - 50 - 1:10memtier-benchmark: Redis - 100 - 1:5spark: 1000000 - 100 - Inner Join Test Timeopenvino: Face Detection FP16 - CPUspark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Group By Test Timeunpack-linux: linux-5.19.tar.xzspark: 20000000 - 100 - Group By Test Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 100 - SHA-512 Benchmark Timememtier-benchmark: Redis - 500 - 1:10node-web-tooling: svt-av1: Preset 12 - Bosphorus 4Kspark: 20000000 - 1000 - Group By Test Timeclickhouse: 100M Rows Web Analytics Dataset, Second Runcompress-7zip: Compression Ratingspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframencnn: CPU - regnety_400mspark: 10000000 - 100 - Inner Join Test Timeopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframememtier-benchmark: Redis - 500 - 5:1spark: 20000000 - 2000 - Repartition Test Timencnn: CPU - mnasnetdragonflydb: 200 - 5:1spark: 20000000 - 1000 - Repartition Test Timebuild-wasmer: Time To Compilemnn: MobileNetV2_224openvino: Face Detection FP16 - CPUmemtier-benchmark: Redis - 500 - 1:1spark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframememtier-benchmark: Redis - 50 - 5:1graphics-magick: HWB Color Spacedragonflydb: 200 - 1:1spark: 10000000 - 2000 - Repartition Test Timespark: 40000000 - 100 - SHA-512 Benchmark Timeai-benchmark: Device Inference Scorespark: 40000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframememtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 5:1primesieve: 1e12spark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Repartition Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timencnn: CPU-v3-v3 - mobilenet-v3spark: 10000000 - 1000 - SHA-512 Benchmark Timesvt-av1: Preset 8 - Bosphorus 1080pinkscape: SVG Files To PNGspark: 20000000 - 500 - Calculate Pi Benchmarkdragonflydb: 200 - 1:5spark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Calculate Pi Benchmarkbuild-python: Defaultspark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkmnn: mobilenetV3spark: 40000000 - 2000 - Calculate Pi Benchmarkbuild-php: Time To Compilencnn: CPU - googlenetspark: 1000000 - 500 - Calculate Pi Benchmarkncnn: CPU - efficientnet-b0ai-benchmark: Device AI Scorespark: 10000000 - 2000 - Calculate Pi Benchmarkncnn: CPU-v2-v2 - mobilenet-v2mnn: squeezenetv1.1spark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Group By Test Timeredis: GET - 500spark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 2000 - Calculate Pi Benchmarkcompress-7zip: Decompression Ratingblosc: blosclz shuffleastcenc: Exhaustivespark: 10000000 - 1000 - Inner Join Test Timespark: 10000000 - 500 - SHA-512 Benchmark Timeblosc: blosclz bitshufflencnn: CPU - resnet50unvanquished: 1920 x 1080 - Ultradragonflydb: 50 - 1:5spark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframencnn: CPU - vision_transformersvt-av1: Preset 4 - Bosphorus 4Kspark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Calculate Pi Benchmarkgraphics-magick: Resizinglammps: Rhodopsin Proteinncnn: CPU - mobilenetspark: 20000000 - 100 - Calculate Pi Benchmarkmnn: SqueezeNetV1.0build-python: Released Build, PGO + LTO Optimizedspark: 40000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Inner Join Test Timespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframedragonflydb: 50 - 1:1spark: 10000000 - 100 - SHA-512 Benchmark Timeastcenc: Fastspark: 20000000 - 2000 - Calculate Pi Benchmarkgraphics-magick: Swirlmnn: mobilenet-v1-1.0svt-av1: Preset 10 - Bosphorus 1080pspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframedragonflydb: 50 - 5:1build-erlang: Time To Compilemnn: resnet-v2-50spark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 4 - Bosphorus 1080pncnn: CPU - vgg16mnn: inception-v3spark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframebuild-nodejs: Time To Compileai-benchmark: Device Training Scorencnn: CPU - yolov4-tinyspark: 20000000 - 500 - SHA-512 Benchmark Timeastcenc: Mediumncnn: CPU - squeezenet_ssdncnn: CPU - alexnetncnn: CPU - resnet18svt-av1: Preset 12 - Bosphorus 1080pastcenc: Thoroughaircrack-ng: natron: Spaceshipncnn: CPU - blazefacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpenredis: LPUSH - 1000redis: LPUSH - 500redis: LPOP - 1000redis: SET - 1000redis: LPOP - 500redis: GET - 1000redis: SET - 500redis: SADD - 50redis: LPOP - 50spark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test TimeABC2361094.52609105.551.91613444437.49106.651945581.314.4124.883.2746.6552317231.6050.014.9413.7513.8614.962.804.802.569569622.573.311906321.12193.920.6125.98692184859.051.24115.749.602627615.75182188.3128.421.969929.880.629.206553.857.411051.9927325883.5759.1515.875.239.473194.291.113.8215.76380.451.1513.311.235321.413.3234.4827.9515.349.054.6714.39640577228.69613542914.632984111.86369.5514.063200.3735.6855.3157.0218.2213.807076658219.331989301.2829.191761822.7727.331806170.5214.2048.5824.9383.973.59824617332.95102.8133.3229.6138204121950043.181970123.242.341.974.6642218589.967.24114.97058239314.5135.441790527.7212.1676.44314.51113.484819613.90985431710.1915.78247.6716.1314.0438611961512323.2425.233.471992128.4124.35018248887.6133.0662022.731623068.2413.941726134.016282087416.2813.6653976264.38757386996255.73883161813.90599053414.0414.0994305031992499.121716481.4131.15264.00564107613.5358.6013.140971223.5918.7768.85527.854263.6396571672211895.73264.981969954263.315801133263.34891066161.2633.0910293314.59263.75441167524.532263.65208859818.73265.1532263541.635263.76705939586.84212.35264.2265477576.821948266.0953054644.643.379264.05294161734.582815841.53.66263.6525689343873810148.20.489715.0517.86598921.18572144617.3214.05230.151.19514.05264.5409984026404.94215.52264.3817800574.867288.39862.2933.4862.0829.1213.9246945951988043.918.72100.6353265.6427312622644.259158.08214.001927867.31141.86335.39214.0214.074.07955.2333.97813.99957.97198624.3433.7037.180516.358.2310.26285.7234.786623361.8542.11.1172143911848508.382046449.252090338.52074037.53301260.75291261723313702629399.253444536.7558.09702831113.442.231924962.252158587.2557.9232.5122.981711625.323.9826.843.5550.6029.2551.1864329625.3114.0214.86566712714.6292656483.004.482.402.453.101786065.12195.6620.4325.1755.651.2121.8410.102492194.5181.13182132.722.069884.040.628.256253.8155.531049.732861609.253.5660.76290474816.045.269.063299.941.123.9915.76380.4253.3153.181.235297.9613.6534.3028.7914.7439934598.994.5114.9428.75054509315.191.93373.9153.923196.8835.0856.9956.92380852518.113.47220.791942966.6628.791772298.5626.951761644.3113.8047.21524385425.4573.863.7033.87100.9933.0128.941899683.691919288.212.281.984.6410.077.10815.1914.5934.931789992.0512.4378.24814.244176663111.194834513.801015.495994056246.9816.1814.351533754.2324.873.412005750.9423.9786.6693.1232019.271593958.7414.021713885.816382051704.4213.7864.8596555.2413.7813.8813.9576329382022525.581737144.5430.724262.92088035513.6958.3444501713.2574311283.5718.9868.3427.965263.1058801232194182.24263.961978455263.854947099264.01511800761.7232.98549310714.71263.97171472324.495263.14342138918.902454953263.5407499891.65263.76369023287.02112.27264.1409513156.781950263.7860864374.63.399263.77636730634.542823473.753.63263.9604442583904910174.60.489515.1617.7627200025946.421.0556.62154148.514.085522088228.891.20314.05264.2985891946444.94115.59265.8505516764.851288.25362.6133.3761.8291004728.9913.991994368.2118.702075341100.3432266.2251637332644.271158.05613.991931122.18142.04435.30414.0414.104.06855.2133.95213.96957.36398524.3533.7537.234316.348.2410.27285.8434.787623363.4612.11.11721439118973361778839.882043605.622222163.252035452.62234701923276802605961.252141549.556.3813.732.342306357.422594956.1750.0333.55119.131819804.244.2424.563.3847.2031.1847.485.3214.8013.8815.682.944.652.522.623.281878914.92183.6521.7626.7455.991.17115.0010.152568888.29190.39179.2134.921.009454.830.6327.816563.6354.761100.092830668.703.4158.0516.605.039.343338.271.163.9016.46364.2853.4073.321.185106.2213.1044.3727.6515.309.354.6914.9627.6914.781.91382.8594.033310.5836.3257.1958.7518.6813.90213.971929613.4728.321720148.8827.761813065.5913.9848.1825.6523.973.6233.18100.0333.8929.711944401.051943695.242.281.934.769.827.06215.3514.2334.571748466.5112.1478.10814.58113.794724914.1210.2315.85242.2216.4914.071545189.5925.413.482032385.1424.4585.9023.0802056.361620962.1214.191695938.526392074466.9513.9065.4894954.8414.0014.1013.891996437.791711961.5830.989266.4813.5957.9413.293.6118.8169.09527.666265.9208567402217552.26266.71266.04266.0761.8732.7714.57266.28317523624.302265.6318.80265.961.636266.1886.24512.38266.506.841933265.854.623.408266.02502816234.292799995.583.66265.8117260433896210229.10.485915.1017.895977.621.0357.02159425.6513.99228.591.20113.96265.996434.91215.61265.834.877289.76862.4333.5462.1429.1313.931996857.5418.64100.2210266.712654.275158.63413.951934424.72142.31635.28214.0014.114.07255.1133.90513.97955.94698424.3133.7137.187516.338.2310.26285.9974.784723366.5982.11.10172143911945768.331933436.952028878.432226848.233208768.772732949.302201393.842552054.123105232.8755.6714.142.37OpenBenchmarking.org

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50ABC500K1000K1500K2000K2500KSE +/- 21826.28, N = 62361094.501924962.252306357.421. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50ABC400K800K1200K1600K2000KMin: 2210961.5 / Avg: 2306357.42 / Max: 2363326.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 1000ABC600K1200K1800K2400K3000KSE +/- 35265.51, N = 32609105.502158587.252594956.171. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 1000ABC500K1000K1500K2000K2500KMin: 2525680.25 / Avg: 2594956.17 / Max: 26410661. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeABC1326395265SE +/- 0.71, N = 451.9257.9250.03
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeABC1122334455Min: 48.04 / Avg: 50.03 / Max: 51.4

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 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC918273645SE +/- 0.33, N = 337.4932.5033.55MIN: 29.62 / MAX: 50.43MIN: 15.55 / MAX: 40.11MIN: 15.9 / MAX: 44.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC816243240Min: 33.09 / Avg: 33.55 / Max: 34.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC306090120150SE +/- 1.14, N = 3106.65122.98119.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC20406080100Min: 116.94 / Avg: 119.13 / Max: 120.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KSE +/- 11256.90, N = 31945581.311711625.321819804.241. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KMin: 1798378.11 / Avg: 1819804.24 / Max: 1836504.31. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeABC0.99231.98462.97693.96924.9615SE +/- 0.06, N = 94.413.984.24
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeABC246810Min: 4 / Avg: 4.24 / Max: 4.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeABC612182430SE +/- 0.08, N = 324.8826.8424.56
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeABC612182430Min: 24.43 / Avg: 24.56 / Max: 24.7

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC0.79881.59762.39643.19523.994SE +/- 0.06, N = 93.273.553.38
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC246810Min: 3.15 / Avg: 3.38 / Max: 3.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeABC1122334455SE +/- 0.26, N = 346.6650.6047.20
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeABC1020304050Min: 46.89 / Avg: 47.2 / Max: 47.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC714212835SE +/- 0.32, N = 331.6029.2531.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC714212835Min: 30.69 / Avg: 31.18 / Max: 31.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeABC1224364860SE +/- 0.42, N = 350.0151.1947.48
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeABC1020304050Min: 46.64 / Avg: 47.48 / Max: 47.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC1.1972.3943.5914.7885.985SE +/- 0.05, N = 94.945.315.32
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC246810Min: 5.09 / Avg: 5.32 / Max: 5.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.46, N = 313.7514.0214.80
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.87 / Avg: 14.8 / Max: 15.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.06, N = 313.8614.8713.88
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.78 / Avg: 13.88 / Max: 14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC48121620SE +/- 0.54, N = 314.9614.6315.68
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC48121620Min: 14.61 / Avg: 15.68 / Max: 16.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeABC0.6751.352.0252.73.375SE +/- 0.03, N = 62.803.002.94
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeABC246810Min: 2.85 / Avg: 2.94 / Max: 3.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeABC1.082.163.244.325.4SE +/- 0.06, N = 64.804.484.65
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeABC246810Min: 4.48 / Avg: 4.65 / Max: 4.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC0.57821.15641.73462.31282.891SE +/- 0.02035353, N = 62.569569622.400000002.52000000
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC246810Min: 2.45 / Avg: 2.52 / Max: 2.6

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeABC0.58951.1791.76852.3582.9475SE +/- 0.03, N = 92.572.452.62
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeABC246810Min: 2.45 / Avg: 2.62 / Max: 2.8

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeABC0.74481.48962.23442.97923.724SE +/- 0.02, N = 93.313.103.28
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeABC246810Min: 3.22 / Avg: 3.28 / Max: 3.34

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 50ABC400K800K1200K1600K2000KSE +/- 18846.80, N = 151906321.121786065.121878914.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 50ABC300K600K900K1200K1500KMin: 1717880.12 / Avg: 1878914.92 / Max: 1994451.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC4080120160200SE +/- 0.66, N = 3193.90195.66183.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC4080120160200Min: 182.66 / Avg: 183.65 / Max: 184.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC510152025SE +/- 0.08, N = 320.6120.4321.76MIN: 15.16 / MAX: 28.91MIN: 18.15 / MAX: 29.83MIN: 14.5 / MAX: 32.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC510152025Min: 21.62 / Avg: 21.76 / Max: 21.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeABC612182430SE +/- 0.16, N = 325.9925.1726.74
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeABC612182430Min: 26.53 / Avg: 26.74 / Max: 27.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeABC1326395265SE +/- 0.99, N = 359.0555.6555.99
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeABC1224364860Min: 54.67 / Avg: 55.99 / Max: 57.92

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 2022.2.devModel: Person Detection FP32 - Device: CPUABC0.2790.5580.8371.1161.395SE +/- 0.00, N = 31.241.201.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC246810Min: 1.17 / Avg: 1.17 / Max: 1.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunABC306090120150SE +/- 1.03, N = 5115.74121.84115.00MIN: 8.6 / MAX: 20000MIN: 8.5 / MAX: 20000MIN: 7.14 / MAX: 120001. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunABC20406080100Min: 111.98 / Avg: 115 / Max: 117.721. ClickHouse server version 22.5.4.19 (official build).

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeABC3691215SE +/- 0.09, N = 39.6010.1010.15
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeABC3691215Min: 9.99 / Avg: 10.15 / Max: 10.32

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 500ABC600K1200K1800K2400K3000KSE +/- 38463.64, N = 122627615.752492194.502568888.291. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 500ABC500K1000K1500K2000K2500KMin: 2182454.75 / Avg: 2568888.29 / Max: 2673701.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC4080120160200SE +/- 0.66, N = 3182.00181.13190.39MIN: 97.01 / MAX: 200.14MIN: 93.18 / MAX: 198.15MIN: 137.7 / MAX: 208.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC306090120150Min: 189.7 / Avg: 190.39 / Max: 191.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: MediumABC4080120160200SE +/- 2.18, N = 4188.3182.0179.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: MediumABC306090120150Min: 173.9 / Avg: 179.23 / Max: 182.9

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: HighABC306090120150SE +/- 1.15, N = 3128.4132.7134.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: HighABC306090120150Min: 132.6 / Avg: 134.9 / Max: 136.1

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 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC510152025SE +/- 0.07, N = 321.9622.0621.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC510152025Min: 20.86 / Avg: 21 / Max: 21.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC2K4K6K8K10KSE +/- 41.17, N = 39929.889884.049454.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC2K4K6K8K10KMin: 9409.36 / Avg: 9454.83 / Max: 9537.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC0.14180.28360.42540.56720.709SE +/- 0.00, N = 30.600.600.63MIN: 0.39 / MAX: 8.97MIN: 0.36 / MAX: 9.05MIN: 0.38 / MAX: 10.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC246810Min: 0.62 / Avg: 0.63 / Max: 0.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeABC714212835SE +/- 0.22, N = 329.2028.2527.81
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeABC612182430Min: 27.41 / Avg: 27.81 / Max: 28.17

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC140280420560700SE +/- 3.71, N = 36556256561. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC120240360480600Min: 651 / Avg: 655.67 / Max: 6631. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC0.85731.71462.57193.42924.2865SE +/- 0.01, N = 33.803.813.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC246810Min: 3.62 / Avg: 3.63 / Max: 3.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC1326395265SE +/- 1.23, N = 357.4155.5354.76
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC1122334455Min: 52.64 / Avg: 54.76 / Max: 56.89

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 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC2004006008001000SE +/- 4.29, N = 31051.991049.731100.09MIN: 1040.91 / MAX: 1059.93MIN: 1041.12 / MAX: 1057.94MIN: 1042 / MAX: 1134.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC2004006008001000Min: 1091.51 / Avg: 1100.09 / Max: 1104.71. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50ABC600K1200K1800K2400K3000KSE +/- 36134.78, N = 152732588.002861609.252830668.701. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50ABC500K1000K1500K2000K2500KMin: 2477733.75 / Avg: 2830668.7 / Max: 2982101.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeABC0.80331.60662.40993.21324.0165SE +/- 0.02, N = 93.573.563.41
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeABC246810Min: 3.28 / Avg: 3.41 / Max: 3.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeABC1428425670SE +/- 0.81, N = 359.1560.7658.05
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeABC1224364860Min: 57.16 / Avg: 58.05 / Max: 59.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeABC48121620SE +/- 0.34, N = 315.8716.0416.60
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeABC48121620Min: 15.94 / Avg: 16.6 / Max: 17.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABC1.18352.3673.55054.7345.9175SE +/- 0.03, N = 95.235.265.03
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABC246810Min: 4.9 / Avg: 5.03 / Max: 5.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABC3691215SE +/- 0.06, N = 39.479.069.34
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABC3691215Min: 9.23 / Avg: 9.34 / Max: 9.45

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 2022.2.devModel: Person Detection FP32 - Device: CPUABC7001400210028003500SE +/- 8.61, N = 33194.293299.943338.27MIN: 1761.36 / MAX: 3455.63MIN: 3117.38 / MAX: 3443.22MIN: 2906.46 / MAX: 3515.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC6001200180024003000Min: 3324.58 / Avg: 3338.27 / Max: 3354.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC0.2610.5220.7831.0441.305SE +/- 0.01, N = 31.111.121.16MIN: 0.67 / MAX: 12.18MIN: 0.66 / MAX: 2.71MIN: 0.67 / MAX: 13.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC246810Min: 1.15 / Avg: 1.16 / Max: 1.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeABC0.89781.79562.69343.59124.489SE +/- 0.04, N = 93.823.993.90
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeABC246810Min: 3.71 / Avg: 3.9 / Max: 4.04

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 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC48121620SE +/- 0.06, N = 315.7615.7616.46MIN: 9.85 / MAX: 25.38MIN: 11.99 / MAX: 24.27MIN: 12.44 / MAX: 25.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC48121620Min: 16.34 / Avg: 16.46 / Max: 16.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC80160240320400SE +/- 1.30, N = 3380.40380.42364.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC70140210280350Min: 362.73 / Avg: 364.28 / Max: 366.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC1224364860SE +/- 0.09, N = 351.1553.3253.411. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC1122334455Min: 53.24 / Avg: 53.41 / Max: 53.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 20220729Target: CPU - Model: shufflenet-v2ABC0.7471.4942.2412.9883.735SE +/- 0.06, N = 33.313.183.32MIN: 3.26 / MAX: 4.01MIN: 3.15 / MAX: 3.87MIN: 3.11 / MAX: 4.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC246810Min: 3.21 / Avg: 3.32 / Max: 3.431. (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 2022.2.devModel: Person Detection FP16 - Device: CPUABC0.27680.55360.83041.10721.384SE +/- 0.00, N = 31.231.231.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC246810Min: 1.18 / Avg: 1.18 / Max: 1.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC11002200330044005500SE +/- 18.95, N = 35321.405297.965106.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC9001800270036004500Min: 5085.4 / Avg: 5106.22 / Max: 5144.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABC48121620SE +/- 0.15, N = 313.3213.6513.10MIN: 12.9 / MAX: 14.46MIN: 13.28 / MAX: 25.73MIN: 12.57 / MAX: 25.821. (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 2.1Model: nasnetABC48121620Min: 12.93 / Avg: 13.1 / Max: 13.411. (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

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeABC1.0082.0163.0244.0325.04SE +/- 0.02, N = 94.484.304.37
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeABC246810Min: 4.26 / Avg: 4.37 / Max: 4.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC714212835SE +/- 0.38, N = 327.9528.7927.65
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC612182430Min: 26.98 / Avg: 27.65 / Max: 28.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeABC48121620SE +/- 0.33, N = 315.3414.7415.30
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeABC48121620Min: 14.7 / Avg: 15.3 / Max: 15.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeABC3691215SE +/- 0.04, N = 39.058.999.35
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeABC3691215Min: 9.29 / Avg: 9.35 / Max: 9.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeABC1.05532.11063.16594.22125.2765SE +/- 0.05, N = 94.674.514.69
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeABC246810Min: 4.51 / Avg: 4.69 / Max: 4.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeABC48121620SE +/- 0.31, N = 314.4014.9414.96
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeABC48121620Min: 14.52 / Avg: 14.96 / Max: 15.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC714212835SE +/- 0.24, N = 328.7028.7527.69
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC612182430Min: 27.21 / Avg: 27.69 / Max: 28.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeABC48121620SE +/- 0.19, N = 314.6315.1914.78
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeABC48121620Min: 14.47 / Avg: 14.78 / Max: 15.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC0.43430.86861.30291.73722.1715SE +/- 0.02, N = 91.861.931.91
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC246810Min: 1.82 / Avg: 1.91 / Max: 2.03

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13ABC80160240320400SE +/- 1.09, N = 3369.55373.92382.861. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13ABC70140210280350Min: 380.81 / Avg: 382.86 / Max: 384.521. (CXX) g++ options: -O3

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeABC0.91351.8272.74053.6544.5675SE +/- 0.05, N = 94.063.924.03
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeABC246810Min: 3.84 / Avg: 4.03 / Max: 4.29

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 2022.2.devModel: Person Detection FP16 - Device: CPUABC7001400210028003500SE +/- 4.37, N = 33200.373196.883310.58MIN: 1758.1 / MAX: 3458.98MIN: 1702.1 / MAX: 3449.98MIN: 1782.74 / MAX: 3536.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC6001200180024003000Min: 3301.96 / Avg: 3310.58 / Max: 3316.141. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeABC816243240SE +/- 0.10, N = 435.6835.0836.32
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeABC816243240Min: 36.17 / Avg: 36.32 / Max: 36.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeABC1326395265SE +/- 0.91, N = 355.3156.9957.19
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeABC1122334455Min: 55.43 / Avg: 57.19 / Max: 58.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC1326395265SE +/- 0.97, N = 457.0256.9258.75
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC1224364860Min: 56.57 / Avg: 58.75 / Max: 61.26

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 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC510152025SE +/- 0.03, N = 318.2218.1018.68MIN: 16.77 / MAX: 28.3MIN: 10.18 / MAX: 27.41MIN: 10.54 / MAX: 28.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC510152025Min: 18.64 / Avg: 18.68 / Max: 18.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABC48121620SE +/- 0.19, N = 313.8113.4713.90
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABC48121620Min: 13.53 / Avg: 13.9 / Max: 14.16

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 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC50100150200250SE +/- 0.38, N = 3219.33220.79213.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC4080120160200Min: 213.23 / Avg: 213.97 / Max: 214.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KSE +/- 12369.07, N = 31989301.281942966.661929613.471. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ABC300K600K900K1200K1500KMin: 1909311.36 / Avg: 1929613.47 / Max: 1952005.841. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeABC714212835SE +/- 0.16, N = 329.1928.7928.32
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeABC612182430Min: 28.08 / Avg: 28.32 / Max: 28.63

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KSE +/- 8909.71, N = 31761822.771772298.561720148.881. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5ABC300K600K900K1200K1500KMin: 1707659.02 / Avg: 1720148.88 / Max: 1737400.71. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC714212835SE +/- 0.49, N = 327.3326.9527.76
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC612182430Min: 27.03 / Avg: 27.76 / Max: 28.68

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KSE +/- 8267.67, N = 31806170.521761644.311813065.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KMin: 1802112.95 / Avg: 1813065.59 / Max: 1829270.041. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.09, N = 314.2013.8013.98
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.82 / Avg: 13.98 / Max: 14.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeABC1122334455SE +/- 0.93, N = 348.5847.2248.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeABC1020304050Min: 46.81 / Avg: 48.18 / Max: 49.95

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC612182430SE +/- 0.09, N = 324.9425.4625.651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC612182430Min: 25.49 / Avg: 25.65 / Max: 25.791. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 20220729Target: CPU - Model: FastestDetABC0.89331.78662.67993.57324.4665SE +/- 0.03, N = 33.973.863.97MIN: 3.85 / MAX: 4.15MIN: 3.78 / MAX: 4.09MIN: 3.82 / MAX: 11.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC246810Min: 3.93 / Avg: 3.97 / Max: 4.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABC0.83251.6652.49753.334.1625SE +/- 0.039029208, N = 93.5982461733.7000000003.620000000
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABC246810Min: 3.44 / Avg: 3.62 / Max: 3.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeABC816243240SE +/- 0.03, N = 332.9533.8733.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeABC714212835Min: 33.14 / Avg: 33.18 / Max: 33.24

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheABC20406080100SE +/- 1.12, N = 5102.81100.99100.03MIN: 7.39 / MAX: 15000MIN: 7.71 / MAX: 8571.43MIN: 6.85 / MAX: 120001. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheABC20406080100Min: 96.71 / Avg: 100.03 / Max: 102.751. ClickHouse server version 22.5.4.19 (official build).

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeABC816243240SE +/- 0.10, N = 333.3233.0133.89
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeABC714212835Min: 33.69 / Avg: 33.89 / Max: 34.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeABC714212835SE +/- 0.45, N = 329.6128.9429.71
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeABC714212835Min: 29.12 / Avg: 29.71 / Max: 30.6

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ABC400K800K1200K1600K2000KSE +/- 27485.35, N = 31950043.181899683.691944401.051. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ABC300K600K900K1200K1500KMin: 1906953.16 / Avg: 1944401.05 / Max: 1997975.751. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KSE +/- 18068.84, N = 31970123.241919288.211943695.241. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ABC300K600K900K1200K1500KMin: 1910179.59 / Avg: 1943695.24 / Max: 1972156.681. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABC0.52651.0531.57952.1062.6325SE +/- 0.02, N = 92.342.282.28
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABC246810Min: 2.16 / Avg: 2.28 / Max: 2.36

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 2022.2.devModel: Face Detection FP16 - Device: CPUABC0.44550.8911.33651.7822.2275SE +/- 0.01, N = 31.971.981.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC246810Min: 1.92 / Avg: 1.93 / Max: 1.961. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC1.0712.1423.2134.2845.355SE +/- 0.083377130, N = 64.6642218584.6400000004.760000000
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC246810Min: 4.47 / Avg: 4.76 / Max: 5.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeABC3691215SE +/- 0.21, N = 39.9610.079.82
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeABC3691215Min: 9.57 / Avg: 9.82 / Max: 10.24

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel source tree package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzABC246810SE +/- 0.031, N = 47.2417.1087.062
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzABC3691215Min: 7.03 / Avg: 7.06 / Max: 7.15

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeABC48121620SE +/- 0.19, N = 314.9715.1915.35
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeABC48121620Min: 15 / Avg: 15.35 / Max: 15.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC48121620SE +/- 0.14, N = 314.5114.5914.23
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC48121620Min: 14.06 / Avg: 14.23 / Max: 14.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeABC816243240SE +/- 0.15, N = 335.4434.9334.57
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeABC816243240Min: 34.28 / Avg: 34.57 / Max: 34.77

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10ABC400K800K1200K1600K2000KSE +/- 8041.06, N = 31790527.721789992.051748466.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10ABC300K600K900K1200K1500KMin: 1732386.95 / Avg: 1748466.51 / Max: 1756754.581. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Node.js V8 Web Tooling Benchmark

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

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkABC3691215SE +/- 0.06, N = 312.1612.4312.14
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkABC48121620Min: 12.02 / Avg: 12.14 / Max: 12.2

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC20406080100SE +/- 0.25, N = 376.4478.2578.111. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC1530456075Min: 77.77 / Avg: 78.11 / Max: 78.61. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeABC48121620SE +/- 0.40, N = 314.5114.2414.58
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeABC48121620Min: 14.04 / Avg: 14.58 / Max: 15.37

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunABC306090120150SE +/- 1.47, N = 5113.48111.19113.79MIN: 7.71 / MAX: 12000MIN: 8.34 / MAX: 12000MIN: 7.08 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunABC20406080100Min: 110.19 / Avg: 113.79 / Max: 118.321. ClickHouse server version 22.5.4.19 (official build).

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC10K20K30K40K50KSE +/- 84.10, N = 34819648345472491. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC8K16K24K32K40KMin: 47112 / Avg: 47249 / Max: 474021. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.30, N = 313.9113.8014.12
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.75 / Avg: 14.12 / Max: 14.72

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 20220729Target: CPU - Model: regnety_400mABC3691215SE +/- 0.02, N = 310.1910.0010.23MIN: 10.11 / MAX: 11.07MIN: 9.9 / MAX: 10.76MIN: 10.13 / MAX: 11.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC3691215Min: 10.21 / Avg: 10.23 / Max: 10.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeABC48121620SE +/- 0.27, N = 315.7815.5015.85
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeABC48121620Min: 15.42 / Avg: 15.85 / Max: 16.36

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 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC50100150200250SE +/- 0.67, N = 3247.67246.98242.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC4080120160200Min: 240.9 / Avg: 242.22 / Max: 243.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC48121620SE +/- 0.05, N = 316.1316.1816.49MIN: 14.36 / MAX: 19.06MIN: 9 / MAX: 21.75MIN: 9.1 / MAX: 33.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC48121620Min: 16.43 / Avg: 16.49 / Max: 16.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.10, N = 914.0414.3514.07
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.84 / Avg: 14.07 / Max: 14.8

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KSE +/- 7898.00, N = 31512323.241533754.231545189.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KMin: 1536709.76 / Avg: 1545189.59 / Max: 1560970.941. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeABC612182430SE +/- 0.18, N = 325.2324.8725.41
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeABC612182430Min: 25.07 / Avg: 25.41 / Max: 25.68

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 20220729Target: CPU - Model: mnasnetABC0.7831.5662.3493.1323.915SE +/- 0.01, N = 33.473.413.48MIN: 3.43 / MAX: 4.15MIN: 3.37 / MAX: 4.1MIN: 3.38 / MAX: 4.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC246810Min: 3.46 / Avg: 3.48 / Max: 3.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KSE +/- 6872.33, N = 31992128.412005750.942032385.141. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KMin: 2020988.42 / Avg: 2032385.14 / Max: 2044737.271. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeABC612182430SE +/- 0.06, N = 324.3523.9724.45
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeABC612182430Min: 24.34 / Avg: 24.45 / Max: 24.56

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC20406080100SE +/- 0.49, N = 387.6186.6785.901. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC20406080100Min: 85.12 / Avg: 85.9 / Max: 86.811. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224ABC0.70271.40542.10812.81083.5135SE +/- 0.003, N = 33.0663.1233.080MIN: 2.98 / MAX: 4.12MIN: 3.01 / MAX: 4.22MIN: 3 / MAX: 4.621. (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 2.1Model: MobileNetV2_224ABC246810Min: 3.08 / Avg: 3.08 / Max: 3.091. (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

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 2022.2.devModel: Face Detection FP16 - Device: CPUABC400800120016002000SE +/- 14.58, N = 32022.732019.272056.36MIN: 1942.04 / MAX: 2048.56MIN: 1952.63 / MAX: 2066.71MIN: 1731.28 / MAX: 2158.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC400800120016002000Min: 2030.26 / Avg: 2056.36 / Max: 2080.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KSE +/- 13712.27, N = 31623068.241593958.741620962.121. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KMin: 1605616.08 / Avg: 1620962.12 / Max: 1648318.981. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.26, N = 413.9414.0214.19
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.73 / Avg: 14.19 / Max: 14.92

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KSE +/- 4351.00, N = 31726134.011713885.811695938.521. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KMin: 1687832.91 / Avg: 1695938.52 / Max: 1702733.21. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC140280420560700SE +/- 0.33, N = 36286386391. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC110220330440550Min: 638 / Avg: 638.67 / Max: 6391. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KSE +/- 8670.43, N = 32087416.282051704.422074466.951. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KMin: 2057934.82 / Avg: 2074466.95 / Max: 2087265.741. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeABC48121620SE +/- 0.18, N = 313.6713.7813.90
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeABC48121620Min: 13.69 / Avg: 13.9 / Max: 14.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABC1530456075SE +/- 0.79, N = 464.3964.8565.48
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABC1326395265Min: 64.28 / Avg: 65.48 / Max: 67.79

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreABC2004006008001000962965949

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC1326395265SE +/- 0.68, N = 355.7455.2454.84
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC1122334455Min: 53.53 / Avg: 54.84 / Max: 55.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.03, N = 913.9113.7814.00
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.84 / Avg: 14 / Max: 14.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.09, N = 914.0413.8814.10
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.98 / Avg: 14.1 / Max: 14.8

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.08, N = 314.1013.9613.89
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.74 / Avg: 13.89 / Max: 13.98

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ABC400K800K1200K1600K2000KSE +/- 10080.98, N = 31992499.122022525.581996437.791. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ABC400K800K1200K1600K2000KMin: 1980734.12 / Avg: 1996437.79 / Max: 2015240.641. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KSE +/- 8849.68, N = 31716481.411737144.541711961.581. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KMin: 1697377.41 / Avg: 1711961.58 / Max: 1727938.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12ABC714212835SE +/- 0.03, N = 331.1530.7230.991. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12ABC714212835Min: 30.93 / Avg: 30.99 / Max: 31.031. (CXX) g++ options: -O3

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.27, N = 3264.01262.92266.48
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABC50100150200250Min: 266.1 / Avg: 266.48 / Max: 267

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeABC48121620SE +/- 0.10, N = 313.5313.6913.59
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeABC48121620Min: 13.45 / Avg: 13.59 / Max: 13.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeABC1326395265SE +/- 1.35, N = 458.6058.3457.94
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeABC1224364860Min: 56.32 / Avg: 57.94 / Max: 61.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeABC3691215SE +/- 0.08, N = 313.1413.2613.29
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeABC48121620Min: 13.14 / Avg: 13.29 / Max: 13.38

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 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC0.81231.62462.43693.24924.0615SE +/- 0.02, N = 33.593.573.61MIN: 3.51 / MAX: 4.29MIN: 3.51 / MAX: 4.6MIN: 3.49 / MAX: 4.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC246810Min: 3.59 / Avg: 3.61 / Max: 3.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC510152025SE +/- 0.15, N = 318.7718.9818.81
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC510152025Min: 18.52 / Avg: 18.81 / Max: 18.96

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC1530456075SE +/- 0.23, N = 368.8668.3469.101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC1326395265Min: 68.7 / Avg: 69.09 / Max: 69.481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGABC714212835SE +/- 0.13, N = 327.8527.9727.671. Inkscape 1.1.2 (0a00cf5339, 2022-02-04)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGABC612182430Min: 27.51 / Avg: 27.67 / Max: 27.921. Inkscape 1.1.2 (0a00cf5339, 2022-02-04)

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.37, N = 3263.64263.11265.92
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkABC50100150200250Min: 265.54 / Avg: 265.92 / Max: 266.65

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:5ABC500K1000K1500K2000K2500KSE +/- 1318.89, N = 32211895.732194182.242217552.261. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KMin: 2214917.16 / Avg: 2217552.26 / Max: 2218972.931. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.59, N = 3264.98263.96266.71
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABC50100150200250Min: 265.68 / Avg: 266.71 / Max: 267.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.20, N = 4263.32263.85266.04
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABC50100150200250Min: 265.49 / Avg: 266.04 / Max: 266.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.24, N = 3263.35264.02266.07
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABC50100150200250Min: 265.64 / Avg: 266.07 / Max: 266.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC1428425670SE +/- 0.31, N = 361.2661.7261.87
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC1224364860Min: 61.32 / Avg: 61.87 / Max: 62.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC816243240SE +/- 0.23, N = 333.0932.9932.77
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC714212835Min: 32.45 / Avg: 32.77 / Max: 33.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC48121620SE +/- 0.04, N = 314.5914.7114.57
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC48121620Min: 14.52 / Avg: 14.57 / Max: 14.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.09, N = 3263.75263.97266.28
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkABC50100150200250Min: 266.16 / Avg: 266.28 / Max: 266.47

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultABC61218243024.5324.5024.30

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.13, N = 3263.65263.14265.63
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkABC50100150200250Min: 265.44 / Avg: 265.63 / Max: 265.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC510152025SE +/- 0.01, N = 318.7318.9018.80
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC510152025Min: 18.78 / Avg: 18.8 / Max: 18.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.43, N = 9265.15263.54265.96
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABC50100150200250Min: 265.01 / Avg: 265.96 / Max: 268.85

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ABC0.37130.74261.11391.48521.8565SE +/- 0.014, N = 31.6351.6501.636MIN: 1.58 / MAX: 2.02MIN: 1.59 / MAX: 2.58MIN: 1.5 / MAX: 2.61. (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 2.1Model: mobilenetV3ABC246810Min: 1.61 / Avg: 1.64 / Max: 1.651. (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

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.18, N = 3263.77263.76266.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABC50100150200250Min: 265.94 / Avg: 266.18 / Max: 266.53

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC20406080100SE +/- 0.42, N = 386.8487.0286.25
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC20406080100Min: 85.63 / Avg: 86.25 / Max: 87.05

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 20220729Target: CPU - Model: googlenetABC3691215SE +/- 0.04, N = 312.3512.2712.38MIN: 12.26 / MAX: 13.23MIN: 12.17 / MAX: 13.31MIN: 12.25 / MAX: 19.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC48121620Min: 12.33 / Avg: 12.38 / Max: 12.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.36, N = 9264.23264.14266.50
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkABC50100150200250Min: 265.31 / Avg: 266.5 / Max: 268.58

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 20220729Target: CPU - Model: efficientnet-b0ABC246810SE +/- 0.01, N = 36.826.786.84MIN: 6.74 / MAX: 7.75MIN: 6.72 / MAX: 7.62MIN: 6.72 / MAX: 7.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC3691215Min: 6.83 / Avg: 6.84 / Max: 6.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreABC400800120016002000194819501933

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.20, N = 3266.10263.79265.85
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkABC50100150200250Min: 265.46 / Avg: 265.85 / Max: 266.08

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 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC1.0442.0883.1324.1765.22SE +/- 0.03, N = 34.644.604.62MIN: 4.51 / MAX: 5.33MIN: 4.49 / MAX: 5.66MIN: 4.46 / MAX: 5.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC246810Min: 4.57 / Avg: 4.62 / Max: 4.681. (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. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ABC0.76681.53362.30043.06723.834SE +/- 0.007, N = 33.3793.3993.408MIN: 3.3 / MAX: 15.39MIN: 3.32 / MAX: 4.38MIN: 3.3 / MAX: 4.71. (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 2.1Model: squeezenetv1.1ABC246810Min: 3.39 / Avg: 3.41 / Max: 3.421. (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

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.19, N = 6264.05263.78266.03
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABC50100150200250Min: 265.3 / Avg: 266.03 / Max: 266.41

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeABC816243240SE +/- 0.40, N = 334.5834.5434.29
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeABC714212835Min: 33.85 / Avg: 34.29 / Max: 35.09

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 500ABC600K1200K1800K2400K3000KSE +/- 16101.19, N = 32815841.502823473.752799995.581. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 500ABC500K1000K1500K2000K2500KMin: 2777827.5 / Avg: 2799995.58 / Max: 2831307.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABC0.82351.6472.47053.2944.1175SE +/- 0.02, N = 63.663.633.66
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABC246810Min: 3.6 / Avg: 3.66 / Max: 3.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.16, N = 9263.65263.96265.81
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkABC50100150200250Min: 265.18 / Avg: 265.81 / Max: 266.76

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC8K16K24K32K40KSE +/- 65.37, N = 33873839049389621. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC7K14K21K28K35KMin: 38832 / Avg: 38962 / Max: 390391. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleABC2K4K6K8K10KSE +/- 23.89, N = 310148.210174.610229.11. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleABC2K4K6K8K10KMin: 10194.7 / Avg: 10229.07 / Max: 102751. (CC) gcc options: -std=gnu99 -O3 -lrt -lm

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveABC0.11020.22040.33060.44080.551SE +/- 0.0010, N = 30.48970.48950.48591. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveABC246810Min: 0.48 / Avg: 0.49 / Max: 0.491. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeABC48121620SE +/- 0.25, N = 315.0515.1615.10
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeABC48121620Min: 14.67 / Avg: 15.1 / Max: 15.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeABC48121620SE +/- 0.14, N = 317.8617.7617.89
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeABC510152025Min: 17.6 / Avg: 17.89 / Max: 18.03

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC13002600390052006500SE +/- 28.37, N = 35989.05946.45977.61. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC10002000300040005000Min: 5939 / Avg: 5977.57 / Max: 6032.91. (CC) gcc options: -std=gnu99 -O3 -lrt -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 20220729Target: CPU - Model: resnet50ABC510152025SE +/- 0.02, N = 321.1821.0521.03MIN: 20.9 / MAX: 22.52MIN: 20.93 / MAX: 22.12MIN: 20.8 / MAX: 22.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC510152025Min: 20.99 / Avg: 21.03 / Max: 21.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: UltraABC1326395265SE +/- 0.03, N = 357.056.657.0
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: UltraABC1122334455Min: 56.9 / Avg: 56.97 / Max: 57

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5ABC500K1000K1500K2000K2500KSE +/- 4648.71, N = 32144617.322154148.502159425.651. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KMin: 2153813.7 / Avg: 2159425.65 / Max: 2168651.21. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.03, N = 314.0514.0913.99
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.95 / Avg: 13.99 / Max: 14.05

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 20220729Target: CPU - Model: vision_transformerABC50100150200250SE +/- 0.02, N = 3230.15228.89228.59MIN: 229.93 / MAX: 237.36MIN: 228.7 / MAX: 235.46MIN: 228.35 / MAX: 235.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC4080120160200Min: 228.56 / Avg: 228.59 / Max: 228.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC0.27070.54140.81211.08281.3535SE +/- 0.004, N = 31.1951.2031.2011. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC246810Min: 1.2 / Avg: 1.2 / Max: 1.211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.09, N = 314.0514.0513.96
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.78 / Avg: 13.96 / Max: 14.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.39, N = 3264.54264.30265.99
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkABC50100150200250Min: 265.36 / Avg: 265.99 / Max: 266.69

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC140280420560700SE +/- 0.58, N = 36406446431. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC110220330440550Min: 642 / Avg: 643 / Max: 6441. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 23Jun2022Model: Rhodopsin ProteinABC1.1122.2243.3364.4485.56SE +/- 0.012, N = 34.9424.9414.9121. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinABC246810Min: 4.89 / Avg: 4.91 / Max: 4.931. (CXX) g++ options: -O3 -lm -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 20220729Target: CPU - Model: mobilenetABC48121620SE +/- 0.01, N = 315.5215.5915.61MIN: 15.45 / MAX: 15.79MIN: 15.39 / MAX: 16.29MIN: 15.4 / MAX: 16.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABC48121620Min: 15.59 / Avg: 15.61 / Max: 15.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.45, N = 3264.38265.85265.83
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkABC50100150200250Min: 265.34 / Avg: 265.83 / Max: 266.72

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ABC1.09732.19463.29194.38925.4865SE +/- 0.010, N = 34.8674.8514.877MIN: 4.75 / MAX: 6.13MIN: 4.76 / MAX: 7.9MIN: 4.74 / MAX: 6.331. (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 2.1Model: SqueezeNetV1.0ABC246810Min: 4.86 / Avg: 4.88 / Max: 4.91. (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

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedABC60120180240300288.40288.25289.77

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeABC1428425670SE +/- 0.45, N = 362.2962.6162.43
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeABC1224364860Min: 61.64 / Avg: 62.43 / Max: 63.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC816243240SE +/- 0.08, N = 333.4833.3733.54
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC714212835Min: 33.39 / Avg: 33.54 / Max: 33.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC1428425670SE +/- 0.13, N = 362.0861.8362.14
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC1224364860Min: 61.99 / Avg: 62.14 / Max: 62.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeABC714212835SE +/- 0.30, N = 329.1228.9929.13
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeABC612182430Min: 28.54 / Avg: 29.13 / Max: 29.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.08, N = 313.9213.9913.93
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.78 / Avg: 13.93 / Max: 14.08

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KSE +/- 6994.81, N = 31988043.901994368.211996857.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KMin: 1983031.61 / Avg: 1996857.54 / Max: 2005618.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeABC510152025SE +/- 0.13, N = 318.7218.7018.64
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeABC510152025Min: 18.5 / Avg: 18.64 / Max: 18.9

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastABC20406080100SE +/- 0.07, N = 3100.64100.34100.221. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastABC20406080100Min: 100.08 / Avg: 100.22 / Max: 100.331. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkABC60120180240300SE +/- 0.31, N = 3265.64266.23266.71
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkABC50100150200250Min: 266.2 / Avg: 266.71 / Max: 267.25

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlABC60120180240300SE +/- 0.00, N = 32642642651. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlABC50100150200250Min: 265 / Avg: 265 / Max: 2651. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0ABC0.96191.92382.88573.84764.8095SE +/- 0.003, N = 34.2594.2714.275MIN: 4.21 / MAX: 5.18MIN: 4.24 / MAX: 5.01MIN: 4.18 / MAX: 5.251. (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 2.1Model: mobilenet-v1-1.0ABC246810Min: 4.27 / Avg: 4.28 / Max: 4.281. (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

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC4080120160200SE +/- 0.48, N = 3158.08158.06158.631. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC306090120150Min: 157.73 / Avg: 158.63 / Max: 159.351. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.07, N = 314.0013.9913.95
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.82 / Avg: 13.95 / Max: 14.08

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KSE +/- 5831.26, N = 31927867.311931122.181934424.721. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KMin: 1924151.04 / Avg: 1934424.72 / Max: 1944341.651. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC306090120150SE +/- 0.19, N = 3141.86142.04142.32
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC306090120150Min: 141.98 / Avg: 142.32 / Max: 142.64

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ABC816243240SE +/- 0.08, N = 335.3935.3035.28MIN: 35.23 / MAX: 46.59MIN: 35.1 / MAX: 46.47MIN: 35.07 / MAX: 47.221. (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 2.1Model: resnet-v2-50ABC816243240Min: 35.19 / Avg: 35.28 / Max: 35.451. (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

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.06, N = 314.0214.0414.00
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.91 / Avg: 14 / Max: 14.1

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.14, N = 614.0714.1014.11
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.83 / Avg: 14.11 / Max: 14.79

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC0.91781.83562.75343.67124.589SE +/- 0.007, N = 34.0794.0684.0721. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC246810Min: 4.06 / Avg: 4.07 / Max: 4.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 20220729Target: CPU - Model: vgg16ABC1224364860SE +/- 0.02, N = 355.2355.2155.11MIN: 54.95 / MAX: 61.87MIN: 54.99 / MAX: 56.79MIN: 54.86 / MAX: 61.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC1122334455Min: 55.07 / Avg: 55.11 / Max: 55.131. (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. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ABC816243240SE +/- 0.05, N = 333.9833.9533.91MIN: 33.82 / MAX: 46.32MIN: 33.83 / MAX: 45.2MIN: 33.51 / MAX: 45.921. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ABC714212835Min: 33.8 / Avg: 33.91 / Max: 33.961. (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

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620SE +/- 0.02, N = 313.9913.9613.97
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC48121620Min: 13.94 / Avg: 13.97 / Max: 13.99

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC2004006008001000SE +/- 0.84, N = 3957.97957.36955.95
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC2004006008001000Min: 954.85 / Avg: 955.95 / Max: 957.6

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreABC2004006008001000986985984

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 20220729Target: CPU - Model: yolov4-tinyABC612182430SE +/- 0.01, N = 324.3424.3524.31MIN: 24.19 / MAX: 26.13MIN: 24.26 / MAX: 24.91MIN: 24.15 / MAX: 24.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC612182430Min: 24.28 / Avg: 24.31 / Max: 24.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeABC816243240SE +/- 0.27, N = 333.7033.7533.71
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeABC714212835Min: 33.35 / Avg: 33.71 / Max: 34.24

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumABC918273645SE +/- 0.01, N = 337.1837.2337.191. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumABC816243240Min: 37.16 / Avg: 37.19 / Max: 37.21. (CXX) g++ options: -O3 -flto -pthread

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 20220729Target: CPU - Model: squeezenet_ssdABC48121620SE +/- 0.01, N = 316.3516.3416.33MIN: 16.25 / MAX: 16.66MIN: 16.26 / MAX: 16.69MIN: 16.2 / MAX: 17.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC48121620Min: 16.32 / Avg: 16.33 / Max: 16.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC246810SE +/- 0.00, N = 38.238.248.23MIN: 8.16 / MAX: 9.38MIN: 8.17 / MAX: 9.15MIN: 8.14 / MAX: 8.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC3691215Min: 8.22 / Avg: 8.23 / Max: 8.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC3691215SE +/- 0.03, N = 310.2610.2710.26MIN: 10.14 / MAX: 11.15MIN: 10.11 / MAX: 17.12MIN: 10.11 / MAX: 11.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC3691215Min: 10.21 / Avg: 10.26 / Max: 10.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC60120180240300SE +/- 1.67, N = 3285.72285.84286.001. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC50100150200250Min: 282.91 / Avg: 286 / Max: 288.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughABC1.07722.15443.23164.30885.386SE +/- 0.0015, N = 34.78664.78764.78471. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughABC246810Min: 4.78 / Avg: 4.78 / Max: 4.791. (CXX) g++ options: -O3 -flto -pthread

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7ABC5K10K15K20K25KSE +/- 2.01, N = 323361.8523363.4623366.601. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7ABC4K8K12K16K20KMin: 23362.61 / Avg: 23366.6 / Max: 23369.021. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABC0.47250.9451.41751.892.3625SE +/- 0.00, N = 32.12.12.1
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABC246810Min: 2.1 / Avg: 2.1 / Max: 2.1

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC0.24750.4950.74250.991.2375SE +/- 0.00, N = 31.101.101.10MIN: 1.08 / MAX: 1.72MIN: 1.07 / MAX: 1.75MIN: 1.07 / MAX: 1.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC246810Min: 1.09 / Avg: 1.1 / Max: 1.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianABC4080120160200SE +/- 0.33, N = 31721721721. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianABC306090120150Min: 172 / Avg: 172.33 / Max: 1731. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedABC306090120150SE +/- 0.00, N = 31431431431. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedABC306090120150Min: 143 / Avg: 143 / Max: 1431. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenABC20406080100SE +/- 0.00, N = 39191911. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenABC20406080100Min: 91 / Avg: 91 / Max: 911. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 1000ABC400K800K1200K1600K2000KSE +/- 33163.21, N = 151848508.381897336.001945768.331. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 1000ABC300K600K900K1200K1500KMin: 1700505.38 / Avg: 1945768.33 / Max: 2055665.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 500ABC400K800K1200K1600K2000KSE +/- 32181.23, N = 152046449.251778839.881933436.951. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 500ABC400K800K1200K1600K2000KMin: 1709777.88 / Avg: 1933436.95 / Max: 2045779.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 1000ABC400K800K1200K1600K2000KSE +/- 38452.70, N = 152090338.502043605.622028878.431. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 1000ABC400K800K1200K1600K2000KMin: 1720711 / Avg: 2028878.43 / Max: 2155861.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 1000ABC500K1000K1500K2000K2500KSE +/- 36124.68, N = 152074037.502222163.252226848.231. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 1000ABC400K800K1200K1600K2000KMin: 1845734.88 / Avg: 2226848.23 / Max: 23360541. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 500ABC700K1400K2100K2800K3500KSE +/- 69012.03, N = 153301260.752035452.623208768.771. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 500ABC600K1200K1800K2400K3000KMin: 2650739.25 / Avg: 3208768.77 / Max: 3399340.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000ABC600K1200K1800K2400K3000KSE +/- 60647.19, N = 152912617.002347019.002732949.301. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000ABC500K1000K1500K2000K2500KMin: 2263205 / Avg: 2732949.3 / Max: 2943306.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 500ABC500K1000K1500K2000K2500KSE +/- 55052.29, N = 122331370.002327680.002201393.841. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 500ABC400K800K1200K1600K2000KMin: 1887471.5 / Avg: 2201393.84 / Max: 23388951. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 50ABC600K1200K1800K2400K3000KSE +/- 49552.86, N = 152629399.252605961.252552054.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 50ABC500K1000K1500K2000K2500KMin: 2182087.25 / Avg: 2552054.12 / Max: 26913741. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 50ABC700K1400K2100K2800K3500KSE +/- 120387.99, N = 153444536.752141549.503105232.871. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 50ABC600K1200K1800K2400K3000KMin: 2102644.75 / Avg: 3105232.87 / Max: 3421879.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC1326395265SE +/- 1.93, N = 358.1056.3855.67
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC1122334455Min: 52 / Avg: 55.67 / Max: 58.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC48121620SE +/- 0.50, N = 313.4413.7314.14
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC48121620Min: 13.54 / Avg: 14.14 / Max: 15.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC0.53331.06661.59992.13322.6665SE +/- 0.11, N = 92.232.342.37
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC246810Min: 2.13 / Avg: 2.37 / Max: 3.27

240 Results Shown

Redis:
  SET - 50
  SADD - 1000
Apache Spark
OpenVINO:
  Vehicle Detection FP16 - CPU:
    ms
    FPS
memtier_benchmark
Apache Spark:
  1000000 - 100 - SHA-512 Benchmark Time
  20000000 - 500 - Repartition Test Time
  1000000 - 2000 - Broadcast Inner Join Test Time
  40000000 - 1000 - Repartition Test Time
  20000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 2000 - Repartition Test Time
  1000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 1000 - Inner Join Test Time
  1000000 - 1000 - Group By Test Time
  1000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 500 - Inner Join Test Time
  1000000 - 100 - Repartition Test Time
Redis
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
Apache Spark:
  20000000 - 100 - Repartition Test Time
  40000000 - 1000 - Inner Join Test Time
OpenVINO
ClickHouse
Apache Spark
Redis
OpenVINO
Unvanquished:
  1920 x 1080 - Medium
  1920 x 1080 - High
OpenVINO:
  Machine Translation EN To DE FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Apache Spark
GraphicsMagick
OpenVINO
Apache Spark
OpenVINO
Redis
Apache Spark:
  1000000 - 500 - Repartition Test Time
  40000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Inner Join Test Time
  1000000 - 2000 - Group By Test Time
  10000000 - 100 - Group By Test Time
OpenVINO:
  Person Detection FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
Apache Spark
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
SVT-AV1
NCNN
OpenVINO:
  Person Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
Mobile Neural Network
Apache Spark:
  1000000 - 500 - Group By Test Time
  20000000 - 2000 - Broadcast Inner Join Test Time
  20000000 - 2000 - Group By Test Time
  10000000 - 500 - Group By Test Time
  1000000 - 500 - SHA-512 Benchmark Time
  10000000 - 500 - Inner Join Test Time
  20000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 500 - Group By Test Time
  1000000 - 100 - Broadcast Inner Join Test Time
Primesieve
Apache Spark
OpenVINO
Apache Spark:
  40000000 - 100 - Group By Test Time
  40000000 - 500 - Inner Join Test Time
  40000000 - 100 - Broadcast Inner Join Test Time
OpenVINO
Apache Spark
OpenVINO
memtier_benchmark
Apache Spark
memtier_benchmark
Apache Spark
memtier_benchmark
Apache Spark:
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Repartition Test Time
SVT-AV1
NCNN
Apache Spark:
  1000000 - 2000 - Inner Join Test Time
  40000000 - 1000 - Group By Test Time
ClickHouse
Apache Spark:
  40000000 - 2000 - Group By Test Time
  20000000 - 100 - Inner Join Test Time
memtier_benchmark:
  Redis - 50 - 1:10
  Redis - 100 - 1:5
Apache Spark
OpenVINO
Apache Spark:
  1000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 1000 - Group By Test Time
Unpacking The Linux Kernel
Apache Spark:
  20000000 - 100 - Group By Test Time
  10000000 - 1000 - Broadcast Inner Join Test Time
  20000000 - 100 - SHA-512 Benchmark Time
memtier_benchmark
Node.js V8 Web Tooling Benchmark
SVT-AV1
Apache Spark
ClickHouse
7-Zip Compression
Apache Spark
NCNN
Apache Spark
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
Apache Spark
memtier_benchmark
Apache Spark
NCNN
Dragonflydb
Apache Spark
Timed Wasmer Compilation
Mobile Neural Network
OpenVINO
memtier_benchmark
Apache Spark
memtier_benchmark
GraphicsMagick
Dragonflydb
Apache Spark:
  10000000 - 2000 - Repartition Test Time
  40000000 - 100 - SHA-512 Benchmark Time
AI Benchmark Alpha
Apache Spark:
  40000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
memtier_benchmark:
  Redis - 100 - 1:10
  Redis - 100 - 5:1
Primesieve
Apache Spark:
  40000000 - 1000 - Calculate Pi Benchmark
  10000000 - 1000 - Repartition Test Time
  40000000 - 100 - Inner Join Test Time
  10000000 - 500 - Repartition Test Time
NCNN
Apache Spark
SVT-AV1
Inkscape
Apache Spark
Dragonflydb
Apache Spark:
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 100 - Calculate Pi Benchmark
  10000000 - 1000 - Calculate Pi Benchmark
  40000000 - 2000 - SHA-512 Benchmark Time
  20000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 500 - Calculate Pi Benchmark
Timed CPython Compilation
Apache Spark:
  10000000 - 100 - Calculate Pi Benchmark
  10000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 100 - Calculate Pi Benchmark
Mobile Neural Network
Apache Spark
Timed PHP Compilation
NCNN
Apache Spark
NCNN
AI Benchmark Alpha
Apache Spark
NCNN
Mobile Neural Network
Apache Spark:
  1000000 - 1000 - Calculate Pi Benchmark
  40000000 - 500 - Group By Test Time
Redis
Apache Spark:
  1000000 - 1000 - Repartition Test Time
  1000000 - 2000 - Calculate Pi Benchmark
7-Zip Compression
C-Blosc
ASTC Encoder
Apache Spark:
  10000000 - 1000 - Inner Join Test Time
  10000000 - 500 - SHA-512 Benchmark Time
C-Blosc
NCNN
Unvanquished
Dragonflydb
Apache Spark
NCNN
SVT-AV1
Apache Spark:
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Calculate Pi Benchmark
GraphicsMagick
LAMMPS Molecular Dynamics Simulator
NCNN
Apache Spark
Mobile Neural Network
Timed CPython Compilation
Apache Spark:
  40000000 - 500 - SHA-512 Benchmark Time
  20000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 2000 - Inner Join Test Time
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
Dragonflydb
Apache Spark
ASTC Encoder
Apache Spark
GraphicsMagick
Mobile Neural Network
SVT-AV1
Apache Spark
Dragonflydb
Timed Erlang/OTP Compilation
Mobile Neural Network
Apache Spark:
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
SVT-AV1
NCNN
Mobile Neural Network
Apache Spark
Timed Node.js Compilation
AI Benchmark Alpha
NCNN
Apache Spark
ASTC Encoder
NCNN:
  CPU - squeezenet_ssd
  CPU - alexnet
  CPU - resnet18
SVT-AV1
ASTC Encoder
Aircrack-ng
Natron
NCNN
GraphicsMagick:
  Noise-Gaussian
  Enhanced
  Sharpen
Redis:
  LPUSH - 1000
  LPUSH - 500
  LPOP - 1000
  SET - 1000
  LPOP - 500
  GET - 1000
  SET - 500
  SADD - 50
  LPOP - 50
Apache Spark:
  40000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 500 - Broadcast Inner Join Test Time

A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 5 September 2022 12:23 by user phoronix.

B

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 5 September 2022 16:45 by user phoronix.

C

Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB Toshiba THNSN5128GPU7, Graphics: ASUS Intel UHD 630 CFL GT2 16GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Intel I219-V

OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 5 September 2022 21:14 by user phoronix.