12100 august

Tests for a future article. 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 2208082-NE-12100AUGU37
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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 TimeAB2468108.615.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeAB2468105.928.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB0.92251.8452.76753.694.61254.103.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB2468106.967.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeAB2468106.395.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeAB4812162018.1015.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB2468105.416.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeAB2468106.956.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeAB51015202516.8018.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeAB1.2062.4123.6184.8246.034.835.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeAB1.32082.64163.96245.28326.6045.295.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeAB132639526554.2159.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeAB0.75151.5032.25453.0063.75753.343.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeAB2468106.986.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB132639526553.8157.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeAB71421283526.0927.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB71421283530.6028.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeAB2468106.987.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeAB306090120150112.97106.61

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KAB369121512.7313.481. (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 TimeAB1.3052.613.9155.226.5255.805.49

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 TracerAB9K18K27K36K45K42575403501. (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 TimeAB71421283529.0727.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeAB71421283531.9630.34

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: 1e12AB2040608010074.6971.101. (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 TracerAB8K16K24K32K40K35906341871. (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 TimeAB61218243026.2727.57

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pAB0.51391.02781.54172.05562.56952.1812.2841. (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 TimeAB132639526555.8953.40

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 AtomsAB0.60731.21461.82192.42923.03652.5792.6991. (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 TimeAB71421283530.0728.78

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 TracerAB120K240K360K480K600K5703605465161. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAB8K16K24K32K40K35376339011. (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 TimeAB0.70881.41762.12642.83523.5443.153.02

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 1.7AB3K6K9K12K15K14613.3515240.031. (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 TimeAB61218243024.5425.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB71421283526.7427.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeAB0.9271.8542.7813.7084.6354.123.96

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 TracerAB2K4K6K8K10K918888381. (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: LowAB90180270360450381.64396.62MIN: 193 / MAX: 691MIN: 209 / MAX: 641

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 TracerAB200K400K600K800K1000K113755610950421. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KAB91827364539.2340.751. (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 TracerAB30K60K90K120K150K1465061410691. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAB2K4K6K8K10K10928105231. (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: 1e13AB2004006008001000898.20865.021. (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 TracerAB60K120K180K240K300K2924792817421. (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 TimeAB132639526558.3256.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB81624324032.3531.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeAB61218243026.9025.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB61218243027.3326.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB71421283527.6626.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB71421283528.4627.50

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 TracerAB40K80K120K160K200K1731461675101. (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 TimeAB4812162015.8616.39

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: HighAB306090120150141.44145.86MIN: 80 / MAX: 184MIN: 81 / MAX: 182

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 TracerAB120K240K360K480K600K5745345573851. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KAB0.13840.27680.41520.55360.6920.5970.6151. (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 DataframeAB61218243027.2126.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeAB112233445548.1049.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB71421283528.5327.75

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pAB306090120150125.90129.391. (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 4KAB142842567062.5764.291. (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 DataframeAB71421283528.7427.98

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 TracerAB300K600K900K1200K1500K137489713385941. (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 DataframeAB71421283528.1727.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeAB71421283531.5330.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeAB2468107.287.47

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 TracerAB60K120K180K240K300K2903522830661. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAB2K4K6K8K10K911888961. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAB200K400K600K800K1000K115654311288781. (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 TimeAB20406080100110.55107.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB122436486055.3554.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeAB71421283527.7827.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeAB81624324033.5032.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB1.2782.5563.8345.1126.395.555.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeAB61218243025.5126.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB142842567062.2460.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeAB132639526557.5456.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkAB130260390520650593.74580.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkAB130260390520650591.67578.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeAB132639526558.1656.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB20406080100108.05105.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeAB20406080100111.27109.00

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: UltraAB306090120150114.30116.65MIN: 58 / MAX: 166MIN: 59 / MAX: 164

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 TimeAB61218243025.5325.02

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pAB60120180240300279.78285.391. (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 1080pAB122436486050.0151.011. (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 TimeAB306090120150118.24115.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkAB130260390520650589.20577.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB20406080100105.91103.94

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 TracerAB70K140K210K280K350K3442693379891. (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 TimeAB306090120150115.23113.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkAB130260390520650589.89579.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeAB142842567060.0861.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkAB130260390520650590.64580.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeAB4812162015.7816.05

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 ProteinAB0.94521.89042.83563.78084.7264.1314.2011. (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 BenchmarkAB130260390520650589.12580.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB61218243027.4327.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkAB130260390520650591.50582.46

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: ExhaustiveAB0.04860.09720.14580.19440.2430.21270.21601. (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 BenchmarkAB130260390520650588.84579.90

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 TracerAB150K300K450K600K750K6829816726421. (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 TimeAB2040608010092.3590.97

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkAB130260390520650590.44581.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB71421283528.4228.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkAB130260390520650594.06585.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeAB306090120150116.34114.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkAB130260390520650590.84582.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB71421283528.3627.97

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 TracerAB30K60K90K120K150K1473641453901. (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 TimeAB100020003000400050004571.944512.351. (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 DataframeAB71421283527.9827.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB142842567061.5760.83

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: UltimateAB2040608010089.2690.33MIN: 36 / MAX: 133MIN: 30 / MAX: 134

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 TimeAB132639526557.3656.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeAB61218243025.9426.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeAB1.09352.1873.28054.3745.46754.864.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkAB130260390520650586.14580.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeAB2040608010092.0391.16

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: MediumAB71421283530.8631.161. (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 TimeAB1.22182.44363.66544.88726.1095.435.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeAB71421283529.3829.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkAB130260390520650587.02581.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB122436486054.0954.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeAB122436486054.4553.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB71421283527.8428.07

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 ScoreAB110220330440550508512

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 TimeAB142842567060.4960.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB71421283527.8628.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB122436486052.2351.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeAB2040608010090.8190.17

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 BenchmarkAB4812162014.2914.19

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 TimeAB132639526558.4258.78

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 ScoreAB2004006008001000827822

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: ThoroughAB0.78721.57442.36163.14883.9363.48003.49881. (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 TimeAB71421283528.4128.28

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 PNGAB51015202519.4419.351. 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 TimeAB130260390520650579.24576.681. (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: MediumAB50100150200250249.3248.2

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: 20000000 - Partitions: 1000 - Group By Test TimeAB61218243025.4225.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB71421283527.7627.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkAB130260390520650589.80587.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB20406080100105.89106.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB20406080100105.97106.37

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: HighAB4080120160200204.9204.2

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: FastAB2040608010080.6980.971. (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 TimeAB112233445546.4246.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeAB2040608010089.9690.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB71421283527.8627.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkAB130260390520650584.33582.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB306090120150115.90116.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB1.0622.1243.1864.2485.314.714.72

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: UltraAB20406080100106.6106.8

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 TimeAB20406080100108.54108.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkAB130260390520650587.66588.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeAB112233445547.5247.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeAB112233445548.2648.31

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 ScoreAB3006009001200150013351334

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 TimeAB81624324034.2334.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB71421283528.3928.39

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 19:41 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 06:19 by user phoronix.