3900X Seppy

AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 580 8GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209074-NE-3900XSEPP02
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Timed Code Compilation 4 Tests
C/C++ Compiler Tests 6 Tests
Compression Tests 2 Tests
CPU Massive 8 Tests
Creator Workloads 8 Tests
Database Test Suite 6 Tests
HPC - High Performance Computing 4 Tests
Imaging 2 Tests
Machine Learning 3 Tests
Multi-Core 13 Tests
Intel oneAPI 2 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 3 Tests
Renderers 2 Tests
Server 7 Tests
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Single-Threaded 2 Tests

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A
September 06 2022
  12 Hours, 34 Minutes
B
September 06 2022
  12 Hours, 30 Minutes
C
September 07 2022
  12 Hours, 30 Minutes
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  12 Hours, 31 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-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 256 MB
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

B

C

Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: MSI AMD Radeon RX 580 8GB (1366/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: MX279, Network: Realtek RTL8111/8168/8411 + Intel-AC 9260

OS: Ubuntu 20.04, Kernel: 5.11.0-rc1-phx (x86_64) 20201228, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.13, OpenGL: 4.6 Mesa 21.2.6 (LLVM 12.0.0), Vulkan: 1.2.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1920x1080

3900X SeppyOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS)AMD Starship/Matisse16GBSamsung SSD 970 EVO Plus 250GBMSI AMD Radeon RX 580 8GB (1366/2000MHz)AMD Ellesmere HDMI AudioMX279Realtek RTL8111/8168/8411 + Intel-AC 9260Ubuntu 20.045.11.0-rc1-phx (x86_64) 20201228GNOME Shell 3.36.4X Server 1.20.134.6 Mesa 21.2.6 (LLVM 12.0.0)1.2.182GCC 9.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution3900X Seppy BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 - GLAMOR - BAR1 / Visible vRAM Size: 256 MB- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu120.04)- Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%102%104%106%108%RedisNatronGraphicsMagickC-BloscUnpacking The Linux Kernelmemtier_benchmarkNode.js V8 Web Tooling BenchmarkSVT-AV1Timed Erlang/OTP CompilationFacebook RocksDBLAMMPS Molecular Dynamics SimulatorMobile Neural NetworksrsRANApache SparkXonoticTimed CPython CompilationBRL-CAD7-Zip CompressionOpenVINOUnvanquishedDragonflydbGravityMarkASTC EncoderPrimesieveAircrack-ngTimed PHP CompilationNCNNOSPRay StudioTimed Node.js Compilation

3900X Seppyredis: LPOP - 50redis: LPOP - 500spark: 40000000 - 1000 - Group By Test Timeredis: GET - 50spark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Inner Join Test Timegraphics-magick: HWB Color Spacememtier-benchmark: Redis - 500 - 1:10spark: 1000000 - 500 - Inner Join Test Timegraphics-magick: Rotatespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timeredis: SADD - 50redis: SET - 50spark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - Group By Test Timencnn: Vulkan GPU - vision_transformerspark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timememtier-benchmark: Redis - 50 - 1:1redis: SET - 500spark: 1000000 - 500 - Group By Test Timespark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 500 - Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timememtier-benchmark: Redis - 100 - 1:5spark: 1000000 - 100 - Group By Test Timencnn: CPU - FastestDetspark: 20000000 - 500 - Repartition Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timesvt-av1: Preset 12 - Bosphorus 4Knatron: Spaceshipspark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 500 - Repartition Test Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Inner Join Test Timesrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: OFDM_Testspark: 20000000 - 100 - Group By Test Timespark: 10000000 - 100 - Group By Test Timerocksdb: Rand Readspark: 40000000 - 1000 - Inner Join Test Timespark: 20000000 - 100 - Inner Join Test Timeblosc: blosclz bitshufflememtier-benchmark: Redis - 500 - 5:1srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMredis: LPUSH - 50srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMspark: 1000000 - 100 - Repartition Test Timesvt-av1: Preset 12 - Bosphorus 1080pspark: 1000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - Group By Test Timencnn: Vulkan GPU - regnety_400mspark: 20000000 - 1000 - Inner Join Test Timememtier-benchmark: Redis - 50 - 1:5memtier-benchmark: Redis - 500 - 1:1memtier-benchmark: Redis - 100 - 5:1svt-av1: Preset 10 - Bosphorus 4Kmemtier-benchmark: Redis - 100 - 1:1blosc: blosclz shufflespark: 10000000 - 500 - Inner Join Test Timeunpack-linux: linux-5.19.tar.xzspark: 20000000 - 2000 - Repartition Test Timesvt-av1: Preset 8 - Bosphorus 4Kspark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 2000 - Inner Join Test Timelammps: Rhodopsin Proteinspark: 20000000 - 100 - SHA-512 Benchmark Timeopenvino: Person Detection FP32 - CPUspark: 10000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Group By Test Timegraphics-magick: Resizingspark: 10000000 - 2000 - Group By Test Timespark: 40000000 - 100 - Inner Join Test Timemnn: resnet-v2-50node-web-tooling: unvanquished: 1920 x 1080 - Ultraspark: 20000000 - 1000 - SHA-512 Benchmark Timeopenvino: Person Detection FP32 - CPUspark: 20000000 - 2000 - Inner Join Test Timespark: 40000000 - 500 - Group By Test Timespark: 10000000 - 100 - SHA-512 Benchmark Timerocksdb: Read While Writingredis: SADD - 1000mnn: MobileNetV2_224spark: 10000000 - 1000 - Repartition Test Timegraphics-magick: Noise-Gaussianspark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 100 - Repartition Test Timeopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUredis: SET - 1000spark: 1000000 - 2000 - Repartition Test Timegraphics-magick: Swirlspark: 10000000 - 1000 - SHA-512 Benchmark Timebuild-erlang: Time To Compilemnn: SqueezeNetV1.0xonotic: 1920 x 1080 - Ultraredis: LPUSH - 1000spark: 40000000 - 2000 - Repartition Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 1000 - Group By Test Timemnn: squeezenetv1.1mnn: mobilenetV3memtier-benchmark: Redis - 50 - 5:1spark: 40000000 - 100 - Broadcast Inner Join Test Timerocksdb: Rand Fill Syncredis: GET - 500spark: 40000000 - 500 - Broadcast Inner Join Test Timerocksdb: Seq Fillrocksdb: Update Randncnn: Vulkan GPU - FastestDetrocksdb: Rand Fillspark: 40000000 - 1000 - Repartition Test Timencnn: CPU - squeezenet_ssdopenvino: Machine Translation EN To DE FP16 - CPUspark: 40000000 - 2000 - Broadcast Inner Join Test Timeopenvino: Machine Translation EN To DE FP16 - CPUncnn: Vulkan GPU - vgg16mnn: inception-v3compress-7zip: Compression Ratingspark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframememtier-benchmark: Redis - 500 - 1:5ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - alexnetdragonflydb: 50 - 1:1spark: 10000000 - 1000 - Broadcast Inner Join Test Timencnn: CPU - googlenetredis: GET - 1000openvino: Age Gender Recognition Retail 0013 FP16 - CPUdragonflydb: 50 - 1:5redis: LPOP - 1000xonotic: 1920 x 1080 - Lowncnn: CPU - resnet18svt-av1: Preset 4 - Bosphorus 1080pspark: 40000000 - 500 - Repartition Test Timesvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080pncnn: CPU - blazefaceredis: SADD - 500openvino: Person Detection FP16 - CPUspark: 40000000 - 100 - Group By Test Timespark: 10000000 - 2000 - Repartition Test Timesrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMspark: 1000000 - 100 - Broadcast Inner Join Test Timemnn: nasnetbuild-python: Released Build, PGO + LTO Optimizedredis: LPUSH - 500openvino: Face Detection FP16 - CPUspark: 1000000 - 2000 - Group By Test Timeunvanquished: 1920 x 1080 - Mediumsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMspark: 10000000 - 500 - Group By Test Timespark: 20000000 - 100 - Repartition Test Timememtier-benchmark: Redis - 100 - 1:10spark: 20000000 - 1000 - Repartition Test Timencnn: Vulkan GPU - squeezenet_ssdopenvino: Face Detection FP16 - CPUspark: 10000000 - 500 - SHA-512 Benchmark Timencnn: CPU - yolov4-tinymemtier-benchmark: Redis - 50 - 1:10openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUspark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframesrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMspark: 40000000 - 500 - Inner Join Test Timespark: 1000000 - 100 - Calculate Pi Benchmarkgraphics-magick: Enhancedspark: 10000000 - 500 - Repartition Test Timesrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMncnn: CPU - vgg16brl-cad: VGR Performance Metricdragonflydb: 50 - 5:1openvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUspark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframexonotic: 1920 x 1080 - Ultimateospray-studio: 1 - 1080p - 32 - Path Tracerspark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 500 - Calculate Pi Benchmarkgravitymark: 1920 x 1080 - OpenGLspark: 10000000 - 2000 - Calculate Pi Benchmarkbuild-python: Defaultopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUspark: 40000000 - 500 - SHA-512 Benchmark Timeopenvino: Weld Porosity Detection FP16 - CPUspark: 20000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframencnn: Vulkan GPU - efficientnet-b0spark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmarksrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMmnn: mobilenet-v1-1.0ncnn: Vulkan GPU - blazefaceospray-studio: 1 - 1080p - 16 - Path Tracersvt-av1: Preset 4 - Bosphorus 4Kopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUdragonflydb: 200 - 5:1spark: 10000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Repartition Test Timexonotic: 1920 x 1080 - Highspark: 40000000 - 1000 - SHA-512 Benchmark Timedragonflydb: 200 - 1:5ospray-studio: 1 - 4K - 1 - Path Tracerncnn: CPU-v2-v2 - mobilenet-v2spark: 40000000 - 100 - Calculate Pi Benchmarkcompress-7zip: Decompression Ratingspark: 40000000 - 100 - SHA-512 Benchmark Timegravitymark: 1920 x 1080 - Vulkanncnn: CPU - efficientnet-b0ospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerastcenc: Thoroughncnn: CPU - resnet50openvino: Vehicle Detection FP16-INT8 - CPUgraphics-magick: Sharpenspark: 20000000 - 2000 - Calculate Pi Benchmarkopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUospray-studio: 1 - 1080p - 1 - Path Traceropenvino: Person Detection FP16 - CPUdragonflydb: 200 - 1:1ospray-studio: 2 - 1080p - 16 - Path Tracerncnn: Vulkan GPU-v3-v3 - mobilenet-v3spark: 1000000 - 1000 - Calculate Pi Benchmarkncnn: Vulkan GPU - resnet18spark: 20000000 - 500 - Calculate Pi Benchmarkncnn: CPU - alexnetncnn: CPU - vision_transformerncnn: CPU - shufflenet-v2ospray-studio: 2 - 1080p - 32 - Path Tracerspark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframencnn: Vulkan GPU - mobilenetprimesieve: 1e12unvanquished: 1920 x 1080 - Highncnn: Vulkan GPU - shufflenet-v2spark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Calculate Pi Benchmarkospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Traceropenvino: Face Detection FP16-INT8 - CPUospray-studio: 3 - 1080p - 16 - Path Tracerspark: 10000000 - 100 - Calculate Pi Benchmarkncnn: Vulkan GPU - yolov4-tinyospray-studio: 2 - 1080p - 1 - Path Tracerncnn: Vulkan GPU-v2-v2 - mobilenet-v2lammps: 20k Atomsospray-studio: 2 - 4K - 32 - Path Tracerrocksdb: Read Rand Write Randastcenc: Exhaustivencnn: Vulkan GPU - mnasnetprimesieve: 1e13ospray-studio: 1 - 4K - 16 - Path Tracerastcenc: Fastaircrack-ng: openvino: Face Detection FP16-INT8 - CPUncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - mnasnetspark: 20000000 - 500 - SHA-512 Benchmark Timencnn: CPU - mobilenetncnn: Vulkan GPU - resnet50ospray-studio: 3 - 4K - 32 - Path Tracergravitymark: 1920 x 1080 - OpenGL ESastcenc: Mediumospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerspark: 40000000 - 2000 - Calculate Pi Benchmarkbuild-nodejs: Time To Compilebuild-php: Time To Compilencnn: CPU - regnety_400mspark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmarketcd: PUT - 50 - 100ABC2348967227856827.062300790.752.901.8512491804067.981.8468725.891.701886028.51475997.6212.3711.92164.542.0913.901613018.511453979.384.4823.59597162425.862.231703287.13.996.1121.7213.09431009813.65347000694.6423.158.243.702.0511.534.1847.58347.3142.712910000012.888.325874064445.29548353725.799647.41454839.23389.21454759.12158.61.84329.433.9922.8412.0026.3426.867.2123.651701125.861531801.971433374.5770.7731536206.1516249.211.987.00419.9639.7234.393.148.28532.6002031523024.828.1713.27647434813798.4251.4832.98411.63314.930.581.9724.2830.6579678317.5825598411812210.124.57810.303522.554.4010.60165.636.21586963.252.8364216.65372428100.8196.738412.50124651383954.7540.00215998346.51218769611.7465869074.5842.4111434216.1350.3560008284514196357845.3110314815167432.686937039.7021.23204.4546.7329.3310.7329.022856317.671602907.2993.042571296.0911.2415.342013854.629947.112782190.431342933.62536.838553312.775.33940.06105.216220.1392.1618185452962.8935.6310.6961.61.5715.791309.9711412551.52227.95.04328.1111.17.7121.5866124031654936.2819.946.962.6916.4126.111708785.940.947.647.657.66402.7164.646.550539165121.3980436182919.97368.149.581813862467506.49353.9916.937.567.607.577.657.61307.836863388798124.5645583631.53124.32486208569.6123.64086458718.8331.2319.2757.33030659918.78123.5409580837.5811.347.58124.290781801124.249778759175.45.4991.39412841.84512623.712326752.52124.7367215377.597.5642.37449.791484159.0626929682594626.13102334.85124.8861048958857663.0966.86.73105321744306.952820.92353.79182124.38360508916.95411.7529.13258322435286.83422084.18123.4517971194.57124.8594008489.86171.125.01901007.607.627.6414.674320.42.7516.92124.08029866810413030901440.6849131124.628046519.8526473.428.29134215218941850.75533.72185.415169810177.97843713.7234.164.274.4132.1214.49.7539780250.358.039720162912209333972124.588956163469.41659.57714.87.61124.24094019312788281386256.7531.551980782.622.511.9413891598224.251.9776525.901.721733906.51604856.1211.7312.088378319177.971.9312.841511370.281496450.54.1622.7325.932.351587437.464.285.8221.4612.2813.112866616100.5123.359.383.601.9511.683.9747.02367.4150.912930000012.198.305570458447.0626.79101591422519.5394.71479037.62161.51.77346.253.8622.4911.6125.1325.637.1622.741651913.581465097.241471052.1973.881492923.516778.812.097.2620.7641.2654.563.178.1831.422917.758.0512.83748981514168.3750.0732.93511.58318.829.672.0324.1331.5817.0724952851812301.384.59610.013602.554.4210.46166.6735.981586804.122.7665616.45102.616.811419.57511531415616.540.3447.2611.494.5732.4041408731.9350.154420199238545.4210115865101692.5685651940.0021.17200.845.9129.8610.6728.637871227.5416296909.133.092530290.2911.42205241315.152024809.3810061.672805869.831357810542.642124512.595.41539.717702062105.802222.5122.161797623.382922.7935.2110.6760.91.5915.645311.9631395701.882201.354.98324.9109.87.6721.621646498.420.177.042.7116.2325.891705311.590.957.567.577.58398.5163.946.43121.54949518329310.02371.749.181807792450502.69354.8816.897.507.547.627.637.67310.663741488008123.60044053731.25123.67468708270.1123.47179728218.8161.19319.9857.6818.74123.6785671067.5311.427.61123.333619836124.89174.15.4711.4409951.85112536.442342872.52123.9100282747.557.5542.40452.746357558.942603169.2102314.85124.1190283328862463.1266.96.73104951734236.946320.94355.77183125.0643293616.86413.9228.9825812.012432286.97421594.16123.734.55124.3316030999.89171.815.03901607.587.617.6614.644319.22.7616.98124.03943987310414030801436.0349075124.669.8826493.418.27734121018915020.75683.73185.618169368178.434843775.774.164.264.432.0714.439.7539700050.358.147320124912200334350124.383948894468.67759.6114.787.60124.1165663341380363.251390922.8827.232029142.252.631.7014141611931.042.0777023.511.581745999.381574484.2511.3912.92164.312.0513.161490717.641568311.124.2521.9324.162.191620664.84.256.2420.3412.3512.81100.7663.261.9219488943.481.9311.014.2144.90364.6149.412230000012.467.885563552544.5925.439980.11382825.47375.21406495153.61.75339.6833.8023.5812.1725.5726.096.8822.571623836.531407911.5673.1411472294.0516951.611.596.96320.6440.9254.463.267.98332.522975.337.8913.0314248.6451.6733.9611.94324.629.671.9924.8631.2617.3524858111865566.624.71110.303622.484.3010.32170.0235.261545873.752.7665816.25103.2916.899422.18654181397587.1239.4446.2211.494.6752.4571439771.7349.3045041952244.8844.5210240055201702.6187316240.4721.57201.8645.9029.7110.8629.137867797.628.983.052549487.5411.2815.11993837.129907.842763256.981363517.5544.695030512.595.36339.50106.693223.2162.191822522.252929.9535.1510.5560.81.5815.844313.7541401205.622202.935.03324.2109.87.6221.841665629.720.016.962.7216.3125.831690778.920.957.567.637.64402.7162.946.07122.65177677229410.070926909368.749.11796422444018.25351.5317.057.577.617.647.587.60309.085550888501124.70848550831.51124.7770.2124.5318.9751.2317.4157.7918.89124.5276830927.5911.337.64124.281435093123.951755.5111.4412361.85812619.852329272.97124.047.547.6042.65450.625259158.692611028.59102954.88124.6871305118808962.7466.56.77105561739256.91321.04354.76183124.68786245516.9412.7629.0625942.012423383.45423634.18123.1780757744.57124.789.9171.645.03904587.617.597.6314.7319.82.7516.9481657123.65598759110448630881438.6249226124.289.8826553.418.26734116518969320.75473.72185.908169662178.114143668.8714.174.274.4132.0514.419.7739723250.458.03620163412221334546124.46468.80959.52514.87.61124.186179993OpenBenchmarking.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: LPOP - Parallel Connections: 50ABC500K1000K1500K2000K2500K2348967.001278828.001380363.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 500ABC500K1000K1500K2000K2500K2278568.001386256.751390922.881. (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 - Group By Test TimeABC71421283527.0631.5527.23

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: 50ABC500K1000K1500K2000K2500K2300790.751980782.622029142.251. (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: 2000 - Broadcast Inner Join Test TimeABC0.65251.3051.95752.613.26252.902.512.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABC0.43650.8731.30951.7462.18251.851.941.70

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 SpaceABC300600900120015001249138914141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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: 1:10ABC400K800K1200K1600K2000K1804067.981598224.251611931.041. (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: 1000000 - Partitions: 500 - Inner Join Test TimeABC0.46580.93161.39741.86322.3291.841.972.07

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: RotateABC1703405106808506877657701. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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 - Broadcast Inner Join Test TimeABC61218243025.8925.9023.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC0.3870.7741.1611.5481.9351.701.721.58

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: 50ABC400K800K1200K1600K2000K1886028.501733906.501745999.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50ABC300K600K900K1200K1500K1475997.621604856.121574484.251. (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: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC369121512.3711.7311.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeABC369121511.9212.0912.92

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: Vulkan GPU - Model: vision_transformerABC4080120160200164.54177.97164.31MIN: 159.31 / MAX: 182.17MIN: 164.84 / MAX: 233.11MIN: 160.79 / MAX: 188.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC0.47030.94061.41091.88122.35152.091.932.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC4812162013.9012.8413.16

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: 1:1ABC300K600K900K1200K1500K1613018.511511370.281490717.641. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: 500ABC300K600K900K1200K1500K1453979.381496450.501568311.121. (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 - Group By Test TimeABC1.0082.0163.0244.0325.044.484.164.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC61218243023.6022.7321.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeABC61218243025.8625.9324.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABC0.52881.05761.58642.11522.6442.232.352.19

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: 1:5ABC400K800K1200K1600K2000K1703287.101587437.461620664.801. (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 - Group By Test TimeABC0.9631.9262.8893.8524.8153.994.284.25

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: FastestDetABC2468106.115.826.24MIN: 6.06 / MAX: 6.17MIN: 5.76 / MAX: 6.39MIN: 6.18 / MAX: 6.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 500 - Repartition Test TimeABC51015202521.7221.4620.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeABC369121513.0912.2812.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeABC4812162013.6513.1112.81

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC2040608010094.64100.51100.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: SpaceshipABC0.74251.4852.22752.973.71253.13.33.2

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 - SHA-512 Benchmark TimeABC142842567058.2459.3861.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeABC0.83251.6652.49753.334.16253.703.603.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeABC0.46130.92261.38391.84522.30652.051.951.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC369121511.5311.6811.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC0.94731.89462.84193.78924.73654.183.974.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeABC112233445547.5847.0244.90

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMABC80160240320400347.3367.4364.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMABC306090120150142.7150.9149.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestABC30M60M90M120M150M1291000001293000001223000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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 TimeABC369121512.8812.1912.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABC2468108.328.307.88

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadABC13M26M39M52M65M5874064455704584556355251. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: 40000000 - Partitions: 1000 - Inner Join Test TimeABC112233445545.3047.0644.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeABC61218243025.7926.7925.43

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 bitshuffleABC2K4K6K8K10K9647.410159.09980.11. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm

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: 5:1ABC300K600K900K1200K1500K1454839.231422519.501382825.471. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMABC90180270360450389.2394.7375.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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: 50ABC300K600K900K1200K1500K1454759.121479037.621406495.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMABC4080120160200158.6161.5153.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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 - Repartition Test TimeABC0.4140.8281.2421.6562.071.841.771.75

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC80160240320400329.43346.25339.681. (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: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeABC0.89781.79562.69343.59124.4893.993.863.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC61218243022.8422.4923.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeABC369121512.0011.6112.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC61218243026.3425.1325.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeABC61218243026.8625.6326.09

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: Vulkan GPU - Model: regnety_400mABC2468107.217.166.88MIN: 6.82 / MAX: 19.5MIN: 6.84 / MAX: 19.55MIN: 6.82 / MAX: 11.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 1000 - Inner Join Test TimeABC61218243023.6522.7422.57

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: 1:5ABC400K800K1200K1600K2000K1701125.861651913.581623836.531. (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: 1:1AB300K600K900K1200K1500K1531801.971465097.241. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1

C: The test run did not produce a result.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500K1433374.571471052.191407911.561. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC163248648070.7773.8873.141. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 1:1ABC300K600K900K1200K1500K1536206.151492923.501472294.051. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 shuffleABC4K8K12K16K20K16249.216778.816951.61. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm

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 - Inner Join Test TimeABC369121511.9812.0911.59

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.xzABC2468107.0047.2606.963

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 TimeABC51015202519.9620.7620.64

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC91827364539.7241.2740.931. (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: 1000000 - Partitions: 1000 - Group By Test TimeABC1.0262.0523.0784.1045.134.394.564.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABC0.73351.4672.20052.9343.66753.143.173.26

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 ProteinABC2468108.2858.1807.9831. (CXX) g++ options: -O3 -pthread -lm -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: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeABC81624324032.6031.4232.52

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: CPUABC60012001800240030003024.822917.752975.33MIN: 2726.93 / MAX: 3236.96MIN: 2552.62 / MAX: 3254.12MIN: 2439.39 / MAX: 3287.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 - Group By Test TimeABC2468108.178.057.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeABC369121513.2812.8413.03

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: ResizingABC300600900120015001379141614241. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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: 2000 - Group By Test TimeABC2468108.428.378.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeABC122436486051.4850.0751.67

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-v2-50ABC81624324032.9832.9433.96MIN: 32.32 / MAX: 61.68MIN: 32.3 / MAX: 43.85MIN: 33.01 / MAX: 51.011. (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

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 BenchmarkABC369121511.6311.5811.94

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: UltraABC70140210280350314.9318.8324.6

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 - SHA-512 Benchmark TimeABC71421283530.5829.6729.67

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: CPUABC0.45680.91361.37041.82722.2841.972.031.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 - Inner Join Test TimeABC61218243024.2824.1324.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeABC71421283530.6631.5831.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeABC4812162017.5817.0717.35

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingABC500K1000K1500K2000K2500K2559841249528524858111. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: SADD - Parallel Connections: 1000ABC400K800K1200K1600K2000K1812210.121812301.381865566.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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_224ABC1.062.123.184.245.34.5784.5964.711MIN: 4.52 / MAX: 6.35MIN: 4.54 / MAX: 5.86MIN: 4.67 / MAX: 5.41. (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: 1000 - Repartition Test TimeABC369121510.3010.0110.30

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-GaussianABC801602403204003523603621. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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: 1000 - Inner Join Test TimeABC0.57381.14761.72142.29522.8692.552.552.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC0.99451.9892.98353.9784.97254.404.424.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABC369121510.6010.4610.32

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 - Device: CPUABC4080120160200165.60166.67170.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC81624324036.2035.9835.26MIN: 18.48 / MAX: 46.94MIN: 16.02 / MAX: 46.38MIN: 10.8 / MAX: 44.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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: 1000ABC300K600K900K1200K1500K1586963.251586804.121545873.751. (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: 2000 - Repartition Test TimeABC0.63681.27361.91042.54723.1842.832.762.76

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: SwirlABC1402804205607006426566581. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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 TimeABC4812162016.6516.4516.25

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 CompileABC20406080100100.82102.61103.29

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: SqueezeNetV1.0ABC2468106.7386.8116.899MIN: 6.67 / MAX: 7.6MIN: 6.74 / MAX: 18.26MIN: 6.83 / MAX: 18.31. (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

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.5Resolution: 1920 x 1080 - Effects Quality: UltraABC90180270360450412.50419.58422.19MIN: 240 / MAX: 715MIN: 261 / MAX: 756MIN: 257 / MAX: 746

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: 1000ABC300K600K900K1200K1500K1383954.751415616.501397587.121. (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: 2000 - Repartition Test TimeABC91827364540.0040.3439.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC112233445546.5147.2646.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeABC369121511.7511.4911.49

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: squeezenetv1.1ABC1.05192.10383.15574.20765.25954.5844.5734.675MIN: 4.47 / MAX: 15.99MIN: 4.51 / MAX: 5.21MIN: 4.62 / MAX: 5.231. (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: mobilenetV3ABC0.55281.10561.65842.21122.7642.4112.4042.457MIN: 2.39 / MAX: 2.99MIN: 2.38 / MAX: 2.46MIN: 2.43 / 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

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: 5:1ABC300K600K900K1200K1500K1434216.131408731.931439771.731. (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 - Broadcast Inner Join Test TimeABC112233445550.3650.1549.30

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random Fill SyncABC100020003000400050004514442045041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: GET - Parallel Connections: 500ABC400K800K1200K1600K2000K1963578.001992385.001952244.881. (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: 500 - Broadcast Inner Join Test TimeABC102030405045.3145.4244.52

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Sequential FillABC200K400K600K800K1000K1031481101158610240051. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomABC110K220K330K440K550K5167435101695201701. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetABC0.58731.17461.76192.34922.93652.602.562.61MIN: 2.41 / MAX: 5.5MIN: 2.41 / MAX: 3.44MIN: 2.43 / MAX: 3.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random FillABC200K400K600K800K1000K8693708565198731621. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: 40000000 - Partitions: 1000 - Repartition Test TimeABC91827364539.7040.0040.47

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_ssdABC51015202521.2321.1721.57MIN: 18.98 / MAX: 23.87MIN: 19.28 / MAX: 30.13MIN: 19.73 / MAX: 22.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: CPUABC4080120160200204.45200.80201.86MIN: 164.7 / MAX: 238.21MIN: 163.8 / MAX: 284.18MIN: 166.26 / MAX: 232.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 TimeABC112233445546.7345.9145.90

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: CPUABC71421283529.3329.8629.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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: Vulkan GPU - Model: vgg16ABC369121510.7310.6710.86MIN: 10.41 / MAX: 15.72MIN: 10.43 / MAX: 15.84MIN: 10.44 / MAX: 201. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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-v3ABC71421283529.0228.6429.14MIN: 28.5 / MAX: 38.97MIN: 28.32 / MAX: 39.21MIN: 28.76 / MAX: 33.481. (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

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 RatingABC20K40K60K80K100K8563187122867791. (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: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC2468107.677.547.62

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: 1:5AB300K600K900K1200K1500K1602907.291629690.001. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5

C: The test run did not produce a result.

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: Vulkan GPU - Model: googlenetABC36912159.009.138.98MIN: 8.66 / MAX: 12.61MIN: 8.65 / MAX: 20.02MIN: 8.66 / MAX: 15.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetABC0.69531.39062.08592.78123.47653.043.093.05MIN: 3 / MAX: 3.58MIN: 3.01 / MAX: 9.01MIN: 3 / MAX: 3.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 1:1ABC600K1200K1800K2400K3000K2571296.092530290.292549487.541. (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: 1000 - Broadcast Inner Join Test TimeABC369121511.2411.4211.28

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: googlenetABC4812162015.3415.1515.10MIN: 14.76 / MAX: 15.96MIN: 14.39 / MAX: 15.92MIN: 14.48 / MAX: 16.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 1000ABC400K800K1200K1600K2000K2013854.622024809.381993837.121. (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: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC2K4K6K8K10K9947.1110061.679907.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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: 1:5ABC600K1200K1800K2400K3000K2782190.432805869.832763256.981. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: LPOP - Parallel Connections: 1000ABC300K600K900K1200K1500K1342933.621357810.001363517.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.5Resolution: 1920 x 1080 - Effects Quality: LowABC120240360480600536.84542.64544.70MIN: 359 / MAX: 1041MIN: 350 / MAX: 1016MIN: 365 / MAX: 1032

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: resnet18ABC369121512.7712.5912.59MIN: 12.45 / MAX: 13.46MIN: 12.28 / MAX: 13.23MIN: 12.26 / MAX: 13.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC1.21842.43683.65524.87366.0925.3395.4155.3631. (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: 500 - Repartition Test TimeABC91827364540.0639.7239.50

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC20406080100105.22105.80106.691. (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 1080pABC50100150200250220.14222.51223.221. (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: blazefaceABC0.49280.98561.47841.97122.4642.162.162.19MIN: 2.13 / MAX: 2.53MIN: 2.13 / MAX: 2.25MIN: 2.16 / MAX: 2.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 500ABC400K800K1200K1600K2000K1818545.001797623.381822522.251. (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: Person Detection FP16 - Device: CPUABC60012001800240030002962.892922.792929.95MIN: 2447.28 / MAX: 3308.08MIN: 2569.56 / MAX: 3257.06MIN: 2420.13 / MAX: 3244.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 TimeABC81624324035.6335.2135.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeABC369121510.6910.6710.55

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMABC142842567061.660.960.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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 - Broadcast Inner Join Test TimeABC0.35780.71561.07341.43121.7891.571.591.58

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: nasnetABC4812162015.7915.6515.84MIN: 15.69 / MAX: 18.21MIN: 15.53 / MAX: 18.8MIN: 15.72 / MAX: 23.771. (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 OptimizedABC70140210280350309.97311.96313.75

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: 500ABC300K600K900K1200K1500K1412551.501395701.881401205.621. (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: Face Detection FP16 - Device: CPUABC50010001500200025002227.902201.352202.93MIN: 2121.62 / MAX: 2325.9MIN: 2028.79 / MAX: 2338.37MIN: 2053.29 / MAX: 2323.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 - Group By Test TimeABC1.1342.2683.4024.5365.675.044.985.03

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: MediumABC70140210280350328.1324.9324.2

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMABC20406080100111.1109.8109.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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 - Group By Test TimeABC2468107.717.677.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeABC51015202521.5921.6221.84

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: 1:10ABC400K800K1200K1600K2000K1654936.281646498.401665629.701. (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 TimeABC51015202519.9420.1720.01

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: Vulkan GPU - Model: squeezenet_ssdABC2468106.967.046.96MIN: 6.9 / MAX: 7.54MIN: 6.9 / MAX: 14.62MIN: 6.91 / MAX: 7.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: CPUABC0.6121.2241.8362.4483.062.692.712.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 - SHA-512 Benchmark TimeABC4812162016.4116.2316.31

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-tinyABC61218243026.1125.8925.83MIN: 24.91 / MAX: 36.36MIN: 24.85 / MAX: 27.28MIN: 24.9 / MAX: 27.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 1:10ABC400K800K1200K1600K2000K1708785.941705311.591690778.921. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC0.21380.42760.64140.85521.0690.940.950.95MIN: 0.55 / MAX: 2.84MIN: 0.55 / MAX: 13.65MIN: 0.55 / MAX: 3.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 DataframeABC2468107.647.567.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC2468107.657.577.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC2468107.667.587.64

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMABC90180270360450402.7398.5402.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMABC4080120160200164.6163.9162.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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 - Inner Join Test TimeABC112233445546.5546.4346.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABC306090120150121.40121.55122.65

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: EnhancedABC601201802403002912932941. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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: 500 - Repartition Test TimeABC36912159.97000000010.02000000010.070926909

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMABC80160240320400368.1371.7368.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC112233445549.5849.1849.10MIN: 48.22 / MAX: 56.17MIN: 48.5 / MAX: 50.39MIN: 48.39 / MAX: 64.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricABC40K80K120K160K200K1813861807791796421. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -pthread -ldl -lm

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: 5:1ABC500K1000K1500K2000K2500K2467506.492450502.692444018.251. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: CPUABC80160240320400353.99354.88351.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC4812162016.9316.8917.05MIN: 8.39 / MAX: 23.2MIN: 8.39 / MAX: 33.55MIN: 8.4 / MAX: 31.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 - Calculate Pi Benchmark Using DataframeABC2468107.567.507.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC2468107.607.547.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC2468107.577.627.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC2468107.657.637.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC2468107.617.677.60

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.5Resolution: 1920 x 1080 - Effects Quality: UltimateABC70140210280350307.84310.66309.09MIN: 64 / MAX: 679MIN: 74 / MAX: 686MIN: 68 / MAX: 667

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerABC20K40K60K80K100K8879888008885011. (CXX) g++ options: -O3 -lm -ldl -lpthread -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: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABC306090120150124.56123.60124.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC71421283531.5331.2531.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABC306090120150124.32123.67124.77

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: OpenGLABC163248648069.670.170.2

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 BenchmarkABC306090120150123.64123.47124.53

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: DefaultABC51015202518.8318.8218.98

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: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC0.270.540.811.081.351.201.191.20MIN: 0.82 / MAX: 16.12MIN: 0.69 / MAX: 16.13MIN: 0.72 / MAX: 3.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC70140210280350319.27319.98317.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 TimeABC132639526557.3357.6857.79

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 - Device: CPUABC51015202518.7818.7418.89MIN: 17.78 / MAX: 31.42MIN: 17.38 / MAX: 33.43MIN: 9.79 / MAX: 50.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 BenchmarkABC306090120150123.54123.68124.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC2468107.587.537.59

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: Vulkan GPU - Model: efficientnet-b0ABC369121511.3411.4211.33MIN: 10.14 / MAX: 20.01MIN: 10.14 / MAX: 19.99MIN: 10.1 / MAX: 15.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 500 - Calculate Pi Benchmark Using DataframeABC2468107.587.617.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkABC306090120150124.29123.33124.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkABC306090120150124.25124.89123.95

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMABC4080120160200175.4174.1175.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -lpthread -ldl -lm

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-v1-1.0ABC1.242.483.724.966.25.4995.4715.511MIN: 5.39 / MAX: 6.12MIN: 5.38 / MAX: 7.12MIN: 5.4 / MAX: 6.731. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceABC0.3150.630.9451.261.5751.391.401.40MIN: 1.3 / MAX: 1.85MIN: 1.31 / MAX: 1.74MIN: 1.31 / MAX: 1.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerABC9K18K27K36K45K4128440995412361. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC0.41810.83621.25431.67242.09051.8451.8511.8581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC3K6K9K12K15K12623.7112536.4412619.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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: 5:1ABC500K1000K1500K2000K2500K2326752.522342872.522329272.971. (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: 500 - Calculate Pi BenchmarkABC306090120150124.74123.91124.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC2468107.597.557.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC2468107.567.557.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeABC102030405042.3742.4042.65

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.5Resolution: 1920 x 1080 - Effects Quality: HighABC100200300400500449.79452.75450.63MIN: 252 / MAX: 843MIN: 305 / MAX: 841MIN: 292 / MAX: 838

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 - SHA-512 Benchmark TimeABC132639526559.0658.9458.69

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: 1:5ABC600K1200K1800K2400K3000K2594626.132603169.202611028.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC2K4K6K8K10K1023310231102951. (CXX) g++ options: -O3 -lm -ldl -lpthread -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-v2-v2 - Model: mobilenet-v2ABC1.0982.1963.2944.3925.494.854.854.88MIN: 4.78 / MAX: 5.44MIN: 4.78 / MAX: 5.31MIN: 4.8 / MAX: 7.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABC306090120150124.89124.12124.69

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 RatingABC20K40K60K80K100K8857688624880891. (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: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABC142842567063.0963.1262.74

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: VulkanABC153045607566.866.966.5

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-b0ABC2468106.736.736.77MIN: 6.68 / MAX: 6.81MIN: 6.69 / MAX: 6.82MIN: 6.72 / MAX: 6.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC2K4K6K8K10K1053210495105561. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerABC40K80K120K160K200K1744301734231739251. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: ThoroughABC2468106.95286.94636.91301. (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: resnet50ABC51015202520.9220.9421.04MIN: 20.71 / MAX: 21.79MIN: 20.69 / MAX: 21.54MIN: 20.78 / MAX: 21.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: CPUABC80160240320400353.79355.77354.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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: SharpenABC40801201602001821831831. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -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: 2000 - Calculate Pi BenchmarkABC306090120150124.38125.06124.69

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: CPUABC4812162016.9516.8616.90MIN: 13.35 / MAX: 28.89MIN: 11.41 / MAX: 23.49MIN: 15.24 / MAX: 23.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC90180270360450411.75413.92412.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC71421283529.1328.9829.06MIN: 22.66 / MAX: 39.5MIN: 15.13 / MAX: 38.61MIN: 14.79 / MAX: 39.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC60012001800240030002583258125941. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: CPUABC0.45230.90461.35691.80922.26152.002.012.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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: 1:1ABC500K1000K1500K2000K2500K2435286.832432286.972423383.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerABC9K18K27K36K45K4220842159423631. (CXX) g++ options: -O3 -lm -ldl -lpthread -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: Vulkan GPU-v3-v3 - Model: mobilenet-v3ABC0.94051.8812.82153.7624.70254.184.164.18MIN: 3.94 / MAX: 9.39MIN: 3.95 / MAX: 5.68MIN: 3.96 / MAX: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABC306090120150123.45123.73123.18

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: Vulkan GPU - Model: resnet18ABC1.02832.05663.08494.11325.14154.574.554.57MIN: 4.52 / MAX: 4.93MIN: 4.2 / MAX: 5.51MIN: 4.22 / MAX: 5.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 500 - Calculate Pi BenchmarkABC306090120150124.86124.33124.78

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: alexnetABC36912159.869.899.90MIN: 9.51 / MAX: 10.33MIN: 9.57 / MAX: 10.32MIN: 9.57 / MAX: 10.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC4080120160200171.12171.81171.64MIN: 169.3 / MAX: 188.47MIN: 169.37 / MAX: 194.03MIN: 169.64 / MAX: 182.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC1.13182.26363.39544.52725.6595.015.035.03MIN: 4.97 / MAX: 5.08MIN: 4.96 / MAX: 5.43MIN: 4.97 / MAX: 5.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerABC20K40K60K80K100K9010090160904581. (CXX) g++ options: -O3 -lm -ldl -lpthread -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: 100 - Calculate Pi Benchmark Using DataframeABC2468107.607.587.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC2468107.627.617.59

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: Vulkan GPU - Model: mobilenetABC2468107.647.667.63MIN: 7.51 / MAX: 15.72MIN: 7.58 / MAX: 8.86MIN: 7.14 / MAX: 8.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 1e12ABC4812162014.6714.6414.701. (CXX) g++ options: -O3 -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: HighABC70140210280350320.4319.2319.8

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: Vulkan GPU - Model: shufflenet-v2ABC0.6211.2421.8632.4843.1052.752.762.75MIN: 2.62 / MAX: 3.47MIN: 2.63 / MAX: 3.51MIN: 2.63 / MAX: 3.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 2000 - SHA-512 Benchmark TimeABC4812162016.9216.9816.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABC306090120150124.08124.04123.66

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerABC20K40K60K80K100K1041301041401044861. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC70014002100280035003090308030881. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: CPUABC300600900120015001440.681436.031438.62MIN: 1417.17 / MAX: 1479.28MIN: 1413.44 / MAX: 1478.56MIN: 1420.26 / MAX: 1471.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerABC11K22K33K44K55K4913149075492261. (CXX) g++ options: -O3 -lm -ldl -lpthread -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: 100 - Calculate Pi BenchmarkABC306090120150124.63124.66124.28

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: Vulkan GPU - Model: yolov4-tinyABC36912159.859.889.88MIN: 9.77 / MAX: 11.22MIN: 9.81 / MAX: 10.1MIN: 9.8 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC60012001800240030002647264926551. (CXX) g++ options: -O3 -lm -ldl -lpthread -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: Vulkan GPU-v2-v2 - Model: mobilenet-v2ABC0.76951.5392.30853.0783.84753.423.413.41MIN: 3.21 / MAX: 3.78MIN: 3.23 / MAX: 4MIN: 3.39 / MAX: 3.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 20k AtomsABC2468108.2918.2778.2671. (CXX) g++ options: -O3 -pthread -lm -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerABC70K140K210K280K350K3421523412103411651. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomABC400K800K1200K1600K2000K1894185189150218969321. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: ExhaustiveABC0.17030.34060.51090.68120.85150.75530.75680.75471. (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: Vulkan GPU - Model: mnasnetABC0.83931.67862.51793.35724.19653.723.733.72MIN: 3.56 / MAX: 4.91MIN: 3.56 / MAX: 4.85MIN: 3.56 / MAX: 4.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 1e13ABC4080120160200185.42185.62185.911. (CXX) g++ options: -O3 -lpthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerABC40K80K120K160K200K1698101693681696621. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: FastABC4080120160200177.98178.43178.111. (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 1.7ABC9K18K27K36K45K43713.7243775.7743668.871. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -pthread

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: CPUABC0.93831.87662.81493.75324.69154.164.164.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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-v3ABC0.96081.92162.88243.84324.8044.274.264.27MIN: 4.2 / MAX: 4.36MIN: 4.2 / MAX: 4.33MIN: 4.21 / MAX: 4.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC0.99231.98462.97693.96924.96154.414.404.41MIN: 4.34 / MAX: 4.47MIN: 4.35 / MAX: 4.47MIN: 4.35 / MAX: 4.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 500 - SHA-512 Benchmark TimeABC71421283532.1232.0732.05

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: mobilenetABC4812162014.4014.4314.41MIN: 14.23 / MAX: 14.75MIN: 14.26 / MAX: 18.36MIN: 14.21 / MAX: 14.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50ABC36912159.759.759.77MIN: 9.48 / MAX: 14.3MIN: 9.43 / MAX: 13.99MIN: 9.45 / MAX: 17.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerABC90K180K270K360K450K3978023970003972321. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: OpenGL ESABC112233445550.350.350.4

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: MediumABC132639526558.0458.1558.041. (CXX) g++ options: -O3 -flto -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerABC40K80K120K160K200K2016292012492016341. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC3K6K9K12K15K1220912200122211. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerABC70K140K210K280K350K3339723343503345461. (CXX) g++ options: -O3 -lm -ldl -lpthread -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: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABC306090120150124.59124.38124.46

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 CompileABC100200300400500469.42468.68468.81

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 CompileABC132639526559.5859.6159.53

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_400mABC4812162014.8014.7814.80MIN: 14.7 / MAX: 14.89MIN: 14.69 / MAX: 15.38MIN: 14.71 / MAX: 14.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC2468107.617.607.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkABC306090120150124.24124.12124.19

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.

Operation: SVG Files To PNG

A: The test quit with a non-zero exit status.

B: The test quit with a non-zero exit status.

C: The test quit with a non-zero exit status.

etcd

Etcd is a distributed, reliable key-value store intended for critical data of a distributed system. Etcd is written in Golang and part of the Cloud Native Computing Foundation (CNCF) and used by Kubernetes, Rook, CoreDNS, and other open-source software. This test profile uses Etcd's built-in benchmark to stress the PUT and RANGE performance of a single node / local system. Learn more via the OpenBenchmarking.org test page.

Test: RANGE - Connections: 500 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 100 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 500 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 50 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 100 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 50 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 500 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 100 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 500 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 50 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 100 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 50 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

294 Results Shown

Redis:
  LPOP - 50
  LPOP - 500
Apache Spark
Redis
Apache Spark:
  1000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 100 - Inner Join Test Time
GraphicsMagick
memtier_benchmark
Apache Spark
GraphicsMagick
Apache Spark:
  20000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 500 - Broadcast Inner Join Test Time
Redis:
  SADD - 50
  SET - 50
Apache Spark:
  10000000 - 2000 - Broadcast Inner Join Test Time
  20000000 - 2000 - Group By Test Time
NCNN
Apache Spark:
  1000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
memtier_benchmark
Redis
Apache Spark:
  1000000 - 500 - Group By Test Time
  20000000 - 1000 - Broadcast Inner Join Test Time
  20000000 - 500 - Inner Join Test Time
  1000000 - 1000 - Repartition Test Time
memtier_benchmark
Apache Spark
NCNN
Apache Spark:
  20000000 - 500 - Repartition Test Time
  10000000 - 100 - Inner Join Test Time
  10000000 - 2000 - Inner Join Test Time
SVT-AV1
Natron
Apache Spark:
  40000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 100 - SHA-512 Benchmark Time
  1000000 - 500 - Repartition Test Time
  10000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 2000 - Inner Join Test Time
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 64-QAM:
    eNb Mb/s
    UE Mb/s
  OFDM_Test:
    Samples / Second
Apache Spark:
  20000000 - 100 - Group By Test Time
  10000000 - 100 - Group By Test Time
Facebook RocksDB
Apache Spark:
  40000000 - 1000 - Inner Join Test Time
  20000000 - 100 - Inner Join Test Time
C-Blosc
memtier_benchmark
srsRAN
Redis
srsRAN
Apache Spark
SVT-AV1
Apache Spark:
  1000000 - 500 - SHA-512 Benchmark Time
  20000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 1000 - Inner Join Test Time
  20000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 2000 - Group By Test Time
NCNN
Apache Spark
memtier_benchmark:
  Redis - 50 - 1:5
  Redis - 500 - 1:1
  Redis - 100 - 5:1
SVT-AV1
memtier_benchmark
C-Blosc
Apache Spark
Unpacking The Linux Kernel
Apache Spark
SVT-AV1
Apache Spark:
  1000000 - 1000 - Group By Test Time
  1000000 - 2000 - Inner Join Test Time
LAMMPS Molecular Dynamics Simulator
Apache Spark
OpenVINO
Apache Spark:
  10000000 - 1000 - Group By Test Time
  20000000 - 500 - Group By Test Time
GraphicsMagick
Apache Spark:
  10000000 - 2000 - Group By Test Time
  40000000 - 100 - Inner Join Test Time
Mobile Neural Network
Node.js V8 Web Tooling Benchmark
Unvanquished
Apache Spark
OpenVINO
Apache Spark:
  20000000 - 2000 - Inner Join Test Time
  40000000 - 500 - Group By Test Time
  10000000 - 100 - SHA-512 Benchmark Time
Facebook RocksDB
Redis
Mobile Neural Network
Apache Spark
GraphicsMagick
Apache Spark:
  1000000 - 1000 - Inner Join Test Time
  1000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 100 - Repartition Test Time
OpenVINO:
  Vehicle Detection FP16 - CPU:
    FPS
    ms
Redis
Apache Spark
GraphicsMagick
Apache Spark
Timed Erlang/OTP Compilation
Mobile Neural Network
Xonotic
Redis
Apache Spark:
  40000000 - 2000 - Repartition Test Time
  40000000 - 1000 - Broadcast Inner Join Test Time
  20000000 - 1000 - Group By Test Time
Mobile Neural Network:
  squeezenetv1.1
  mobilenetV3
memtier_benchmark
Apache Spark
Facebook RocksDB
Redis
Apache Spark
Facebook RocksDB:
  Seq Fill
  Update Rand
NCNN
Facebook RocksDB
Apache Spark
NCNN
OpenVINO
Apache Spark
OpenVINO
NCNN
Mobile Neural Network
7-Zip Compression
Apache Spark
memtier_benchmark
NCNN:
  Vulkan GPU - googlenet
  Vulkan GPU - alexnet
Dragonflydb
Apache Spark
NCNN
Redis
OpenVINO
Dragonflydb
Redis
Xonotic
NCNN
SVT-AV1
Apache Spark
SVT-AV1:
  Preset 8 - Bosphorus 1080p
  Preset 10 - Bosphorus 1080p
NCNN
Redis
OpenVINO
Apache Spark:
  40000000 - 100 - Group By Test Time
  10000000 - 2000 - Repartition Test Time
srsRAN
Apache Spark
Mobile Neural Network
Timed CPython Compilation
Redis
OpenVINO
Apache Spark
Unvanquished
srsRAN
Apache Spark:
  10000000 - 500 - Group By Test Time
  20000000 - 100 - Repartition Test Time
memtier_benchmark
Apache Spark
NCNN
OpenVINO
Apache Spark
NCNN
memtier_benchmark
OpenVINO
Apache Spark:
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 256-QAM
  4G PHY_DL_Test 100 PRB SISO 64-QAM
Apache Spark:
  40000000 - 500 - Inner Join Test Time
  1000000 - 100 - Calculate Pi Benchmark
GraphicsMagick
Apache Spark
srsRAN
NCNN
BRL-CAD
Dragonflydb
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
Apache Spark:
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
Xonotic
OSPRay Studio
Apache Spark:
  40000000 - 1000 - Calculate Pi Benchmark
  20000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 500 - Calculate Pi Benchmark
GravityMark
Apache Spark
Timed CPython Compilation
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Weld Porosity Detection FP16 - CPU
Apache Spark
OpenVINO
Apache Spark:
  20000000 - 100 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
NCNN
Apache Spark:
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Calculate Pi Benchmark
  20000000 - 1000 - Calculate Pi Benchmark
srsRAN
Mobile Neural Network
NCNN
OSPRay Studio
SVT-AV1
OpenVINO
Dragonflydb
Apache Spark:
  10000000 - 500 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Repartition Test Time
Xonotic
Apache Spark
Dragonflydb
OSPRay Studio
NCNN
Apache Spark
7-Zip Compression
Apache Spark
GravityMark
NCNN
OSPRay Studio:
  2 - 4K - 1 - Path Tracer
  2 - 4K - 16 - Path Tracer
ASTC Encoder
NCNN
OpenVINO
GraphicsMagick
Apache Spark
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
OSPRay Studio
OpenVINO
Dragonflydb
OSPRay Studio
NCNN
Apache Spark
NCNN
Apache Spark
NCNN:
  CPU - alexnet
  CPU - vision_transformer
  CPU - shufflenet-v2
OSPRay Studio
Apache Spark:
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
NCNN
Primesieve
Unvanquished
NCNN
Apache Spark:
  10000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 1000 - Calculate Pi Benchmark
OSPRay Studio:
  3 - 1080p - 32 - Path Tracer
  3 - 1080p - 1 - Path Tracer
OpenVINO
OSPRay Studio
Apache Spark
NCNN
OSPRay Studio
NCNN
LAMMPS Molecular Dynamics Simulator
OSPRay Studio
Facebook RocksDB
ASTC Encoder
NCNN
Primesieve
OSPRay Studio
ASTC Encoder
Aircrack-ng
OpenVINO
NCNN:
  CPU-v3-v3 - mobilenet-v3
  CPU - mnasnet
Apache Spark
NCNN:
  CPU - mobilenet
  Vulkan GPU - resnet50
OSPRay Studio
GravityMark
ASTC Encoder
OSPRay Studio:
  3 - 4K - 16 - Path Tracer
  3 - 4K - 1 - Path Tracer
  1 - 4K - 32 - Path Tracer
Apache Spark
Timed Node.js Compilation
Timed PHP Compilation
NCNN
Apache Spark:
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Calculate Pi Benchmark

A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 256 MB
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 September 2022 14:23 by user phoronix.

B

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 256 MB
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 September 2022 19:32 by user phoronix.

C

Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: MSI AMD Radeon RX 580 8GB (1366/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: MX279, Network: Realtek RTL8111/8168/8411 + Intel-AC 9260

OS: Ubuntu 20.04, Kernel: 5.11.0-rc1-phx (x86_64) 20201228, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.13, OpenGL: 4.6 Mesa 21.2.6 (LLVM 12.0.0), Vulkan: 1.2.182, Compiler: GCC 9.4.0, 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-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 256 MB
Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 7 September 2022 03:37 by user phoronix.