12100 august

Intel Core i3-12100 testing with a ASRock B660M-HDV (6.02 BIOS) and Intel ADL-S GT1 16GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208083-NE-12100AUGU83
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C/C++ Compiler Tests 3 Tests
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A
August 07 2022
  1 Day, 10 Hours, 30 Minutes
B
August 08 2022
  1 Day, 10 Hours, 1 Minute
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  1 Day, 10 Hours, 16 Minutes
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A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

B

Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel

OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

12100 augustOpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads)ASRock B660M-HDV (6.02 BIOS)Intel Device 7aa716GB512GB SabrentIntel ADL-S GT1 16GB (1400MHz)Realtek ALC897MX279IntelUbuntu 22.045.18.0-051800-generic (x86_64)GNOME Shell 42.1X Server 1.20.14 + Wayland4.6 Mesa 22.0.11.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution12100 August BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9 - OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1) - Python 3.10.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

A vs. B ComparisonPhoronix Test SuiteBaseline+14.7%+14.7%+29.4%+29.4%+44.1%+44.1%58.6%16.5%13.9%13.6%13%8.4%7.1%6.2%6%5.9%5.6%5.5%5.5%5.3%5%5%4.7%4.7%4.7%4.5%4.4%4.4%4.3%4.3%4%4%3.9%3.9%3.9%3.9%3.8%3.8%3.8%3.8%3.8%3.6%3.6%3.5%3.5%3.4%3.1%3.1%3%3%2.8%2.8%2.8%2.7%2.7%2.7%2.6%2.6%2.5%2.5%2.4%2.4%2.4%2.4%2.3%2.3%2.3%2.2%2.2%2.1%2.1%2.1%2%2%2%2%1000000 - 500 - I.J.T.T1000000 - 500 - R.T.T48.8%1000000 - 500 - B.I.J.T.T1000000 - 2000 - S.5.B.T13.9%1000000 - 2000 - I.J.T.T10000000 - 2000 - Group By Test Time1000000 - 1000 - S.5.B.T13.3%1000000 - 2000 - Group By Test Time10000000 - 100 - Group By Test Time12.4%1000000 - 500 - Group By Test Time11%1000000 - 500 - S.5.B.T11%20000000 - 500 - I.J.T.T9.9%1000000 - 100 - I.J.T.T1000000 - 1000 - Group By Test Time20000000 - 500 - B.I.J.T.T6.8%10000000 - 1000 - R.T.T6.5%10000000 - 100 - B.I.J.T.T1000000 - 1000 - R.T.T6%40000000 - 500 - I.J.T.TPreset 8 - Bosphorus 4K1000000 - 100 - S.5.B.T3 - 4K - 1 - Path Tracer10000000 - 2000 - B.I.J.T.T10000000 - 2000 - I.J.T.T1e122 - 4K - 1 - Path Tracer10000000 - 500 - B.I.J.T.T4.9%Preset 4 - Bosphorus 1080p20000000 - 1000 - I.J.T.T20k Atoms10000000 - 100 - I.J.T.T1 - 4K - 16 - Path Tracer1 - 4K - 1 - Path Tracer1000000 - 100 - B.I.J.T.T20000000 - 500 - Group By Test Time4.3%40000000 - 500 - C.P.B.U.D4.2%1000000 - 100 - Group By Test Time1 - 1080p - 1 - Path Tracer1920 x 1080 - Low1 - 4K - 32 - Path TracerPreset 10 - Bosphorus 4K1 - 1080p - 16 - Path Tracer3 - 1080p - 1 - Path Tracer1e132 - 1080p - 32 - Path Tracer20000000 - 2000 - I.J.T.T10000000 - 1000 - S.5.B.T10000000 - 100 - R.T.T10000000 - 500 - C.P.B.U.D20000000 - 2000 - C.P.B.U.D1000000 - 500 - C.P.B.U.D3 - 1080p - 16 - Path Tracer10000000 - 500 - Group By Test Time3.3%1920 x 1080 - High2 - 4K - 16 - Path TracerPreset 4 - Bosphorus 4K1000000 - 100 - C.P.B.U.D20000000 - 1000 - R.T.T2.8%20000000 - 100 - C.P.B.U.DPreset 10 - Bosphorus 1080pPreset 12 - Bosphorus 4K20000000 - 1000 - C.P.B.U.D3 - 4K - 32 - Path Tracer20000000 - 500 - C.P.B.U.D10000000 - 500 - S.5.B.T1000000 - 2000 - R.T.T2.6%1 - 1080p - 32 - Path Tracer2 - 1080p - 1 - Path Tracer2 - 4K - 32 - Path Tracer40000000 - 2000 - I.J.T.T20000000 - 2000 - B.I.J.T.T20000000 - 2000 - Group By Test Time10000000 - 100 - S.5.B.T1000000 - 2000 - B.I.J.T.T2.3%10000000 - 500 - R.T.T2.3%20000000 - 2000 - S.5.B.T40000000 - 2000 - Group By Test Time40000000 - 1000 - C.P.B40000000 - 500 - C.P.B40000000 - 1000 - Group By Test Time40000000 - 1000 - B.I.J.T.T40000000 - 100 - I.J.T.T1920 x 1080 - Ultra20000000 - 100 - Group By Test TimePreset 12 - Bosphorus 1080pPreset 8 - Bosphorus 1080p40000000 - 100 - S.5.B.TApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkOSPRay StudioApache SparkApache SparkPrimesieveOSPRay StudioApache SparkSVT-AV1Apache SparkLAMMPS Molecular Dynamics SimulatorApache SparkOSPRay StudioOSPRay StudioApache SparkAircrack-ngApache SparkApache SparkApache SparkOSPRay StudioXonoticOSPRay StudioSVT-AV1OSPRay StudioOSPRay StudioPrimesieveOSPRay StudioApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkOSPRay StudioApache SparkXonoticOSPRay StudioSVT-AV1Apache SparkApache SparkApache SparkSVT-AV1SVT-AV1Apache SparkOSPRay StudioApache SparkApache SparkApache SparkOSPRay StudioOSPRay StudioOSPRay StudioApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkXonoticApache SparkSVT-AV1SVT-AV1Apache SparkAB

12100 augustspark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Group By Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Group By Test Timespark: 10000000 - 100 - Group By Test Timespark: 1000000 - 500 - Group By Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Inner Join Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 1000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 1000 - Repartition Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 40000000 - 500 - Inner Join Test Timesvt-av1: Preset 8 - Bosphorus 4Kspark: 1000000 - 100 - SHA-512 Benchmark Timeospray-studio: 3 - 4K - 1 - Path Tracerspark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timeprimesieve: 1e12ospray-studio: 2 - 4K - 1 - Path Tracerspark: 10000000 - 500 - Broadcast Inner Join Test Timesvt-av1: Preset 4 - Bosphorus 1080pspark: 20000000 - 1000 - Inner Join Test Timelammps: 20k Atomsspark: 10000000 - 100 - Inner Join Test Timeospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerspark: 1000000 - 100 - Broadcast Inner Join Test Timeaircrack-ng: spark: 20000000 - 500 - Group By Test Timespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Group By Test Timeospray-studio: 1 - 1080p - 1 - Path Tracerxonotic: 1920 x 1080 - Lowospray-studio: 1 - 4K - 32 - Path Tracersvt-av1: Preset 10 - Bosphorus 4Kospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerprimesieve: 1e13ospray-studio: 2 - 1080p - 32 - Path Tracerspark: 20000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 100 - Repartition Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframeospray-studio: 3 - 1080p - 16 - Path Tracerspark: 10000000 - 500 - Group By Test Timexonotic: 1920 x 1080 - Highospray-studio: 2 - 4K - 16 - Path Tracersvt-av1: Preset 4 - Bosphorus 4Kspark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Repartition Test Timespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Kspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframeospray-studio: 3 - 4K - 32 - Path Tracerspark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Repartition Test Timeospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerspark: 40000000 - 2000 - Inner Join Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - Group By Test Timespark: 10000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Group By Test Timespark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Group By Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 100 - Inner Join Test Timexonotic: 1920 x 1080 - Ultraspark: 20000000 - 100 - Group By Test Timesvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080pspark: 40000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Broadcast Inner Join Test Timeospray-studio: 3 - 1080p - 32 - Path Tracerspark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 100 - Group By Test Timespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Group By Test Timelammps: Rhodopsin Proteinspark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 1000 - Calculate Pi Benchmarkastcenc: Exhaustivespark: 20000000 - 1000 - Calculate Pi Benchmarkospray-studio: 3 - 4K - 16 - Path Tracerspark: 40000000 - 100 - Repartition Test Timespark: 20000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframeospray-studio: 2 - 1080p - 16 - Path Traceropenfoam: drivaerFastback, Small Mesh Size - Execution Timespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - SHA-512 Benchmark Timexonotic: 1920 x 1080 - Ultimatespark: 40000000 - 500 - Group By Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 1000000 - 100 - Repartition Test Timespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Repartition Test Timeastcenc: Mediumspark: 1000000 - 1000 - Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframeai-benchmark: Device Inference Scorespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Repartition Test Timenode-web-tooling: spark: 20000000 - 100 - SHA-512 Benchmark Timeai-benchmark: Device Training Scoreastcenc: Thoroughspark: 10000000 - 500 - Inner Join Test Timeinkscape: SVG Files To PNGopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeunvanquished: 1920 x 1080 - Mediumspark: 20000000 - 1000 - Group By Test Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timeunvanquished: 1920 x 1080 - Highastcenc: Fastspark: 20000000 - 100 - Repartition Test Timespark: 40000000 - 500 - Repartition Test Timespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timeunvanquished: 1920 x 1080 - Ultraspark: 40000000 - 1000 - Inner Join Test Timespark: 10000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 500 - Repartition Test Timespark: 20000000 - 2000 - Repartition Test Timeai-benchmark: Device AI Scorespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframeopenfoam: motorBikeAB8.615.924.106.966.3918.105.416.9516.804.835.2954.213.346.9853.8126.0930.6010026566.98112.971999612.7345.804257529.0731.9674.693590626.272.18155.892.57930.07570360353763.1514613.34624.5426.744.129188381.6421601113755639.23114650610928898.19829247958.3232.3526.9027.32543178427.6628.46194068617314615.86141.43964775745340.59727.2148.1028.53125.89762.56528.74137489728.1731.537.2829035291181156543110.55326441655.3527.7833.5015949155.5525.5146347862.2457.54593.740005124591.66974693758.16108.049032314111.273766708114.304393325.53279.77650.011118.243873125589.198042885105.905087494344269115.226775437589.89413520860.082026671590.64444554915.784.131589.11538834327.43591.4970047480.2127588.83937646168298192.35590.44092075928.42594.057731451116.341362314590.8387356328.361473644571.9427.97789084861.57357361889.256229857.3625.944.86586.14245049292.0330.86425.4329.38587.02056826654.0954.4527.8450860.4927.8652.2390.8114.2958.428273.4828.4119.439579.24249.325.4227.759890693589.802417145105.885684296105.968169533204.980.6946.41593780889.95880093327.86584.328743202115.8972545134.71106.6108.544090825587.65937278247.52162994548.26133534.2328.395.438.813.527.935.6115.936.136.1518.8891959675.365.8759.583.086.5257.4527.7828.817.40106.6113.4845.494035027.5630.3471.1033418727.572.28453.402.69928.78546516339013.0215240.03225.59006993827.873.968838396.6200793109504240.75114106910523865.0228174256.1831.1825.9626.3826.7227.50063855516751016.39145.85960055573850.61526.4249.4727.75129.39264.29127.978809875133859427.4430.727.4728306688961128878107.93741094554.0527.1332.725.6826.1160.83897114556.246001615580.62578.76849784156.90105.821416197108.995257277116.652284825.02285.39451.014115.94577.942334949103.94337989113.14579.46192054861.14580.5216.054.201580.06847753927.01582.460.216579.90202410867264290.97581.7628.01585.57114.728005614582.6627.971453904512.3527.6460.8390.329544456.7426.224.81580.3191.1631.15795.3829.11299075581.72559701354.5853.9828.0751260.9628.0751.8690.1714.1958.788223.498828.2819.351576.68248.225.3127.88587.498963738106.29106.37204.280.965146.5790.2527.94582.94116.174.72106.8108.353119491588.3347.4748.31133434.2328.39OpenBenchmarking.org

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 TimeBA2468105.438.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeBA2468108.815.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA0.92251.8452.76753.694.61253.524.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA2468107.936.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeBA2468105.616.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeBA4812162015.9318.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeBA2468106.135.41

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeBA2468106.156.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeBA51015202518.8916.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeBA1.2062.4123.6184.8246.035.364.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeBA1.32082.64163.96245.28326.6045.875.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeBA132639526559.5854.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeBA0.75151.5032.25453.0063.75753.083.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeBA2468106.526.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA132639526557.4553.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeBA71421283527.7826.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA71421283528.8130.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeBA2468107.406.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeBA306090120150106.61112.97

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KBA369121513.4812.731. (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: 100 - SHA-512 Benchmark TimeBA1.3052.613.9155.226.5255.495.80

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: 1 - Renderer: Path TracerBA9K18K27K36K45K40350425751. (CXX) g++ options: -O3 -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: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA71421283527.5629.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeBA71421283530.3431.96

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: 1e12BA2040608010071.1074.691. (CXX) g++ options: -O3

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 TracerBA8K16K24K32K40K34187359061. (CXX) g++ options: -O3 -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: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA61218243027.5726.27

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pBA0.51391.02781.54172.05562.56952.2842.1811. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeBA132639526553.4055.89

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 AtomsBA0.60731.21461.82192.42923.03652.6992.5791. (CXX) g++ options: -O3 -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: 10000000 - Partitions: 100 - Inner Join Test TimeBA71421283528.7830.07

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 TracerBA120K240K360K480K600K5465165703601. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerBA8K16K24K32K40K33901353761. (CXX) g++ options: -O3 -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: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA0.70881.41762.12642.83523.5443.023.15

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 1.7BA3K6K9K12K15K15240.0314613.351. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -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 - Group By Test TimeBA61218243025.5924.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA71421283527.8726.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeBA0.9271.8542.7813.7084.6353.964.12

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 TracerBA2K4K6K8K10K883891881. (CXX) g++ options: -O3 -lm -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: LowBA90180270360450396.62381.64MIN: 209 / MAX: 641MIN: 193 / MAX: 691

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: 32 - Renderer: Path TracerBA200K400K600K800K1000K109504211375561. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KBA91827364540.7539.231. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 TracerBA30K60K90K120K150K1410691465061. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerBA2K4K6K8K10K10523109281. (CXX) g++ options: -O3 -lm -ldl

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: 1e13BA2004006008001000865.02898.201. (CXX) g++ options: -O3

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 TracerBA60K120K180K240K300K2817422924791. (CXX) g++ options: -O3 -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: 2000 - Inner Join Test TimeBA132639526556.1858.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeBA81624324031.1832.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeBA61218243025.9626.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA61218243026.3827.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBA71421283526.7227.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA71421283527.5028.46

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 TracerBA40K80K120K160K200K1675101731461. (CXX) g++ options: -O3 -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: 10000000 - Partitions: 500 - Group By Test TimeBA4812162016.3915.86

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: HighBA306090120150145.86141.44MIN: 81 / MAX: 182MIN: 80 / MAX: 184

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: 16 - Renderer: Path TracerBA120K240K360K480K600K5573855745341. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KBA0.13840.27680.41520.55360.6920.6150.5971. (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: 100 - Calculate Pi Benchmark Using DataframeBA61218243026.4227.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeBA112233445549.4748.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeBA71421283527.7528.53

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pBA306090120150129.39125.901. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KBA142842567064.2962.571. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA71421283527.9828.74

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 TracerBA300K600K900K1200K1500K133859413748971. (CXX) g++ options: -O3 -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: 500 - Calculate Pi Benchmark Using DataframeBA71421283527.4428.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeBA71421283530.7231.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeBA2468107.477.28

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 TracerBA60K120K180K240K300K2830662903521. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerBA2K4K6K8K10K889691181. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerBA200K400K600K800K1000K112887811565431. (CXX) g++ options: -O3 -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: 40000000 - Partitions: 2000 - Inner Join Test TimeBA20406080100107.94110.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA122436486054.0555.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeBA71421283527.1327.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeBA81624324032.7233.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA1.2782.5563.8345.1126.395.685.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeBA61218243026.1125.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA142842567060.8462.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeBA132639526556.2557.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkBA130260390520650580.62593.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkBA130260390520650578.77591.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeBA132639526556.9058.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA20406080100105.82108.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeBA20406080100109.00111.27

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: UltraBA306090120150116.65114.30MIN: 59 / MAX: 164MIN: 58 / MAX: 166

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 TimeBA61218243025.0225.53

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pBA60120180240300285.39279.781. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pBA122436486051.0150.011. (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: 100 - SHA-512 Benchmark TimeBA306090120150115.94118.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkBA130260390520650577.94589.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA20406080100103.94105.91

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 TracerBA70K140K210K280K350K3379893442691. (CXX) g++ options: -O3 -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: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeBA306090120150113.14115.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkBA130260390520650579.46589.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeBA142842567061.1460.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkBA130260390520650580.52590.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeBA4812162016.0515.78

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 ProteinBA0.94521.89042.83563.78084.7264.2014.1311. (CXX) g++ options: -O3 -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: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkBA130260390520650580.07589.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA61218243027.0127.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkBA130260390520650582.46591.50

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: ExhaustiveBA0.04860.09720.14580.19440.2430.21600.21271. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkBA130260390520650579.90588.84

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 TracerBA150K300K450K600K750K6726426829811. (CXX) g++ options: -O3 -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: 40000000 - Partitions: 100 - Repartition Test TimeBA2040608010090.9792.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkBA130260390520650581.76590.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBA71421283528.0128.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkBA130260390520650585.57594.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeBA306090120150114.73116.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkBA130260390520650582.66590.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBA71421283527.9728.36

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 TracerBA30K60K90K120K150K1453901473641. (CXX) g++ options: -O3 -lm -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Execution TimeBA100020003000400050004512.354571.941. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -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: 100 - Calculate Pi Benchmark Using DataframeBA71421283527.6427.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeBA142842567060.8361.57

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: UltimateBA2040608010090.3389.26MIN: 30 / MAX: 134MIN: 36 / MAX: 133

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 - Group By Test TimeBA132639526556.7457.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeBA61218243026.2225.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeBA1.09352.1873.28054.3745.46754.814.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkBA130260390520650580.31586.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeBA2040608010091.1692.03

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: MediumBA71421283531.1630.861. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeBA1.22182.44363.66544.88726.1095.385.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeBA71421283529.1129.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkBA130260390520650581.73587.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA122436486054.5854.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeBA122436486053.9854.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeBA71421283528.0727.84

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreBA110220330440550512508

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 TimeBA142842567060.9660.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA71421283528.0727.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA122436486051.8652.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeBA2040608010090.1790.81

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 BenchmarkBA4812162014.1914.29

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 TimeBA132639526558.7858.42

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreBA2004006008001000822827

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: ThoroughBA0.78721.57442.36163.14883.9363.49883.48001. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeBA71421283528.2828.41

Inkscape

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

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGBA51015202519.3519.441. Inkscape 1.1.2 (0a00cf5339, 2022-02-04)

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Mesh TimeBA130260390520650576.68579.241. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

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: MediumBA50100150200250248.2249.3

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeBA61218243025.3125.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA71421283527.8827.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkBA130260390520650587.50589.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA20406080100106.29105.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA20406080100106.37105.97

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: HighBA4080120160200204.2204.9

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastBA2040608010080.9780.691. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeBA112233445546.5746.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeBA2040608010090.2589.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBA71421283527.9427.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkBA130260390520650582.94584.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA306090120150116.17115.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA1.0622.1243.1864.2485.314.724.71

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: UltraBA20406080100106.8106.6

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: 40000000 - Partitions: 1000 - Inner Join Test TimeBA20406080100108.35108.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkBA130260390520650588.33587.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeBA112233445547.4747.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeBA112233445548.3148.26

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreBA3006009001200150013341335

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 TimeBA81624324034.2334.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA71421283528.3928.39

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

Input: motorBike

A: The test quit with a non-zero exit status. E: There are not enough slots available in the system to satisfy the 6

B: The test quit with a non-zero exit status. E: There are not enough slots available in the system to satisfy the 6

161 Results Shown

Apache Spark:
  1000000 - 500 - Inner Join Test Time
  1000000 - 500 - Repartition Test Time
  1000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Group By Test Time
  1000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 2000 - Group By Test Time
  10000000 - 100 - Group By Test Time
  1000000 - 500 - Group By Test Time
  1000000 - 500 - SHA-512 Benchmark Time
  20000000 - 500 - Inner Join Test Time
  1000000 - 100 - Inner Join Test Time
  1000000 - 1000 - Group By Test Time
  20000000 - 500 - Broadcast Inner Join Test Time
  10000000 - 1000 - Repartition Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 1000 - Repartition Test Time
  40000000 - 500 - Inner Join Test Time
SVT-AV1
Apache Spark
OSPRay Studio
Apache Spark:
  10000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Inner Join Test Time
Primesieve
OSPRay Studio
Apache Spark
SVT-AV1
Apache Spark
LAMMPS Molecular Dynamics Simulator
Apache Spark
OSPRay Studio:
  1 - 4K - 16 - Path Tracer
  1 - 4K - 1 - Path Tracer
Apache Spark
Aircrack-ng
Apache Spark:
  20000000 - 500 - Group By Test Time
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Group By Test Time
OSPRay Studio
Xonotic
OSPRay Studio
SVT-AV1
OSPRay Studio:
  1 - 1080p - 16 - Path Tracer
  3 - 1080p - 1 - Path Tracer
Primesieve
OSPRay Studio
Apache Spark:
  20000000 - 2000 - Inner Join Test Time
  10000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 100 - Repartition Test Time
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
OSPRay Studio
Apache Spark
Xonotic
OSPRay Studio
SVT-AV1
Apache Spark:
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Repartition Test Time
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
SVT-AV1:
  Preset 10 - Bosphorus 1080p
  Preset 12 - Bosphorus 4K
Apache Spark
OSPRay Studio
Apache Spark:
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - SHA-512 Benchmark Time
  1000000 - 2000 - Repartition Test Time
OSPRay Studio:
  1 - 1080p - 32 - Path Tracer
  2 - 1080p - 1 - Path Tracer
  2 - 4K - 32 - Path Tracer
Apache Spark:
  40000000 - 2000 - Inner Join Test Time
  20000000 - 2000 - Broadcast Inner Join Test Time
  20000000 - 2000 - Group By Test Time
  10000000 - 100 - SHA-512 Benchmark Time
  1000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 500 - Repartition Test Time
  20000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 2000 - Group By Test Time
  40000000 - 1000 - Calculate Pi Benchmark
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 1000 - Group By Test Time
  40000000 - 1000 - Broadcast Inner Join Test Time
  40000000 - 100 - Inner Join Test Time
Xonotic
Apache Spark
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
Apache Spark:
  40000000 - 100 - SHA-512 Benchmark Time
  1000000 - 100 - Calculate Pi Benchmark
  40000000 - 2000 - Broadcast Inner Join Test Time
OSPRay Studio
Apache Spark:
  40000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 100 - Calculate Pi Benchmark
  40000000 - 100 - Group By Test Time
  10000000 - 2000 - Calculate Pi Benchmark
  10000000 - 1000 - Group By Test Time
LAMMPS Molecular Dynamics Simulator
Apache Spark:
  40000000 - 2000 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 1000 - Calculate Pi Benchmark
ASTC Encoder
Apache Spark
OSPRay Studio
Apache Spark:
  40000000 - 100 - Repartition Test Time
  20000000 - 500 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Calculate Pi Benchmark
  40000000 - 500 - SHA-512 Benchmark Time
  10000000 - 100 - Calculate Pi Benchmark
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
OSPRay Studio
OpenFOAM
Apache Spark:
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - SHA-512 Benchmark Time
Xonotic
Apache Spark:
  40000000 - 500 - Group By Test Time
  10000000 - 2000 - Repartition Test Time
  1000000 - 100 - Repartition Test Time
  20000000 - 2000 - Calculate Pi Benchmark
  40000000 - 2000 - Repartition Test Time
ASTC Encoder
Apache Spark:
  1000000 - 1000 - Inner Join Test Time
  10000000 - 1000 - Inner Join Test Time
  1000000 - 500 - Calculate Pi Benchmark
  20000000 - 1000 - Broadcast Inner Join Test Time
  20000000 - 100 - Inner Join Test Time
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
AI Benchmark Alpha
Apache Spark:
  20000000 - 500 - SHA-512 Benchmark Time
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 1000 - Repartition Test Time
Node.js V8 Web Tooling Benchmark
Apache Spark
AI Benchmark Alpha
ASTC Encoder
Apache Spark
Inkscape
OpenFOAM
Unvanquished
Apache Spark:
  20000000 - 1000 - Group By Test Time
  10000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 1000 - Calculate Pi Benchmark
  40000000 - 500 - Broadcast Inner Join Test Time
  40000000 - 100 - Broadcast Inner Join Test Time
Unvanquished
ASTC Encoder
Apache Spark:
  20000000 - 100 - Repartition Test Time
  40000000 - 500 - Repartition Test Time
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Calculate Pi Benchmark
  40000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 1000 - Broadcast Inner Join Test Time
Unvanquished
Apache Spark:
  40000000 - 1000 - Inner Join Test Time
  10000000 - 500 - Calculate Pi Benchmark
  20000000 - 500 - Repartition Test Time
  20000000 - 2000 - Repartition Test Time
AI Benchmark Alpha
Apache Spark:
  10000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe

A

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 7 August 2022 19:40 by user phoronix.

B

Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel

OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 8 August 2022 06:49 by user phoronix.