3950X August 2022

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (3103 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208084-NE-3950XAUGU25
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C/C++ Compiler Tests 2 Tests
CPU Massive 2 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 2 Tests
Molecular Dynamics 2 Tests
Multi-Core 4 Tests
OpenMPI Tests 2 Tests
Scientific Computing 2 Tests
Server 2 Tests

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August 07 2022
  10 Hours, 37 Minutes
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August 07 2022
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August 07 2022
  10 Hours, 35 Minutes
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3950X August 2022OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VII HERO (WI-FI) (3103 BIOS)AMD Starship/Matisse16GBSamsung SSD 970 EVO 250GBSapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz)AMD Ellesmere HDMI AudioDELL S2409WIntel I211 + Realtek RTL8822BE 802.11a/b/g/n/acUbuntu 20.045.11.0-43-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.134.6 Mesa 20.0.8 (LLVM 10.0.0)1.2.128GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution3950X August 2022 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021- GLAMOR - BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-1E3471U.O4Y- OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.20.04)- Python 2.7.18 + Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%101%102%103%103%LAMMPS Molecular Dynamics SimulatorNode.js V8 Web Tooling BenchmarkUnvanquishedOpenFOAMPrimesieveApache SparkASTC EncoderAircrack-ngOSPRay Studio

3950X August 2022spark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Inner Join Test Timespark: 10000000 - 500 - Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timelammps: Rhodopsin Proteinspark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Repartition Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timeunvanquished: 1920 x 1080 - Highspark: 20000000 - 500 - Inner Join Test Timespark: 1000000 - 100 - Group By Test Timespark: 10000000 - 500 - Group By Test Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 100 - Repartition Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 500 - Inner Join Test Timespark: 40000000 - 2000 - Group By Test Timespark: 40000000 - 100 - Repartition Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Group By Test Timespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Group By Test Timespark: 10000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Repartition Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 100 - Inner Join Test Timespark: 40000000 - 100 - Group By Test Timeospray-studio: 3 - 1080p - 32 - Path Tracerspark: 20000000 - 1000 - Inner Join Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 500 - Group By Test Timespark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Group By Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timeunvanquished: 1920 x 1080 - Ultraspark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Repartition Test Timenode-web-tooling: ospray-studio: 1 - 1080p - 32 - Path Tracerspark: 20000000 - 1000 - Repartition Test Timespark: 10000000 - 2000 - Repartition Test Timeospray-studio: 2 - 4K - 16 - Path Tracerspark: 10000000 - 1000 - Repartition Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 500 - Repartition Test Timespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframeopenfoam: motorBike - Execution Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timeunvanquished: 1920 x 1080 - Mediumospray-studio: 1 - 4K - 16 - Path Tracerspark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Group By Test Timeopenfoam: motorBike - Mesh Timespark: 10000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Inner Join Test Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Group By Test Timespark: 40000000 - 1000 - Group By Test Timespark: 40000000 - 500 - Group By Test Timespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Repartition Test Timespark: 1000000 - 500 - Repartition Test Timespark: 10000000 - 100 - Group By Test Timespark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframeospray-studio: 2 - 4K - 32 - Path Tracerspark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Calculate Pi Benchmarkospray-studio: 1 - 4K - 32 - Path Tracerspark: 20000000 - 500 - Calculate Pi Benchmarkospray-studio: 2 - 1080p - 32 - Path Tracerspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframeospray-studio: 1 - 4K - 1 - Path Tracerprimesieve: 1e12spark: 40000000 - 2000 - Calculate Pi Benchmarklammps: 20k Atomsospray-studio: 3 - 4K - 32 - Path Tracerspark: 10000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 500 - Calculate Pi Benchmarkprimesieve: 1e13ospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerspark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Group By Test Timespark: 20000000 - 2000 - Repartition Test Timeospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerastcenc: Fastospray-studio: 2 - 1080p - 16 - Path Tracerspark: 10000000 - 1000 - Calculate Pi Benchmarkospray-studio: 3 - 1080p - 1 - Path Tracerspark: 1000000 - 100 - Calculate Pi Benchmarkospray-studio: 3 - 1080p - 16 - Path Tracerastcenc: Exhaustiveopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timespark: 20000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 100 - Calculate Pi Benchmarkastcenc: Thoroughastcenc: Mediumospray-studio: 1 - 1080p - 16 - Path Traceraircrack-ng: spark: 10000000 - 500 - Repartition Test TimeABC2.771.963.8412.1730.8423.7012.732.4711.08222.1943.083.0911.43173086427.424.284.277.7662.6822.9925.691.9112.513.9446.5625.79971118944.4550.6213.0323.2130186841.764.2817.8612.1811.448.1520.704.2062.101.9333.696798717756523.711.6964.8360.894.0323.538.5225.21406.948.02107926613.042.1945.582.08207984431.8645.572.6911.986787821.1111.1612884410.8502974744.3241.7990.4746.3712.0819606895.675.58111.1811.770095181427.712753317.035.6412.1042.688.8946.9712.2817.575.575.595.684.9129.3331.735.645.615.6731.17465535589.9641.5681331222.028.1589.635.605.5725140288.5846.92207250588.5624551688.26702725.625.6389.8816.945.655.63750010.84388.7011.86829167887.9032.71155325988.3588.33137.2387716187889435.6412.0621.2097313381507501942243.37793089187.94225088.33359811.04595009.77375.2388.41613527188.409.539879.7653005060465.44510.372.752.144.1611.2430.6225.4111.892.3111.81823.1840.6838123863.2010.93413.824.084.347.3560.42472947121.9626.262.0011.933.8448.2325.5244.76249461849.5212.5023.151.834.3018.4415971711.9511.678.4521.454.0660.1341726511.8733.187935523.081.7263.4059.283.9922.918.6624.55399.149.2013.102.1645.142.1331.3746.302.6712.036641320.6611.0712851110.684.3942.5290.0447.12034391212.085.585.59111.5911.70430.112789717.285.5811.9342.7389.3547.0712.2917.355.645.665.644.8629.4931.725.605.595.6131.0489.1441.432.018.1089.175.595.5925325687.8046.51989996888.1024743987.92697995.595.6189.4616.885.645.66744910.77288.2911.90628990287.3932.58319296388.6888.51136.5537682188389185.6212.0321.231509271947243.62773083688.108879804225388.14359151.0455017.93375.8488.3388.389.547279.72123003960443.64110.372.461.923.9411.3532.8624.8012.042.4611.70423.6641.863.2710.81404.222.984.117.6059.3721.7824.891.9012.544.0348.8124.6242.7248.39031756213.0322.311.814.1417.7612.40114658911.258.2620.764.0760.541.9234.217989423.751.73897394363.0159.1887987874.1023.358.7524.96409.748.9213.362.1444.542.1331.1545.272.7311.776706320.69662791511.2913097710.654.3141.8388.9647.0411.895.605.67112.9511.59423.612601617.265.6612.0143.290.1047.6012.1353941717.465.625.645.614.8529.6931.385.585.655.6131.3790.0541.152.038.0788.825.555.6225365788.5646.5488.8124729788.565310373703015.635.5990.1016.825.615.62746910.8188.1311.94129114587.6532.5388.2288.057219969136.9177703188589115.6312.01933376221.281504601941242.88823081087.90224888.20359141.0445010.14375.6288.3288.3096964189.545679.74433003660453.63310.37OpenBenchmarking.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: 2000 - Broadcast Inner Join Test TimeABC0.62331.24661.86992.49323.11652.772.752.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC0.48150.9631.44451.9262.40751.962.141.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeABC0.9361.8722.8083.7444.683.844.163.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC369121512.1711.2411.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC81624324030.8430.6232.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeABC61218243023.7025.4124.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeABC369121512.7311.8912.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeABC0.55581.11161.66742.22322.7792.472.312.46

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 ProteinABC369121511.0811.8211.701. (CXX) g++ options: -O3 -pthread -lm -ldl

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC61218243022.1923.1823.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeABC102030405043.0840.6841.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABC0.73581.47162.20742.94323.6793.093.203.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABC369121511.4310.9310.81

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: HighABC90180270360450427.4413.8404.2

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: 500 - Inner Join Test TimeABC61218243024.2824.0822.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeABC0.97651.9532.92953.9064.88254.274.344.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeABC2468107.767.357.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC142842567062.6860.4259.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeABC61218243022.9921.9621.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeABC61218243025.6926.2624.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeABC0.450.91.351.82.251.912.001.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC369121512.5111.9312.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeABC0.90681.81362.72043.62724.5343.943.844.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeABC112233445546.5648.2348.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeABC61218243025.8025.5224.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeABC102030405044.4544.7642.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeABC112233445550.6249.5248.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeABC369121513.0312.5013.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC61218243023.2123.1522.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC0.41180.82361.23541.64722.0591.761.831.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeABC0.96751.9352.90253.874.83754.284.304.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC51015202517.8618.4417.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeABC369121512.1811.9512.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeABC369121511.4411.6711.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeABC2468108.158.458.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeABC51015202520.7021.4520.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC0.9451.892.8353.784.7254.204.064.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC142842567062.1060.1360.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABC0.43430.86861.30291.73722.17151.931.871.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeABC81624324033.7033.1834.21

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 TracerABC20K40K60K80K100K7756579355798941. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeABC61218243023.7123.0823.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC0.39130.78261.17391.56521.95651.6900000001.7200000001.738973943

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABC142842567064.8363.4063.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeABC142842567060.8959.2859.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeABC0.92251.8452.76753.694.61254.033.994.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC61218243023.5322.9123.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeABC2468108.528.668.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC61218243025.2124.5524.96

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: UltraABC90180270360450406.9399.1409.7

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC112233445548.0249.2048.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeABC369121513.0413.1013.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABC0.49280.98561.47841.97122.4642.192.162.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC102030405045.5845.1444.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeABC0.47930.95861.43791.91722.39652.0820798442.1300000002.130000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC71421283531.8631.3731.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC102030405045.5746.3045.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeABC0.61431.22861.84292.45723.07152.692.672.73

Node.js V8 Web Tooling Benchmark

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

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkABC369121511.9812.0311.77

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 TracerABC15K30K45K60K75K6787866413670631. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeABC51015202521.1120.6620.70

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeABC369121511.1611.0711.29

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 TracerABC30K60K90K120K150K1288441285111309771. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeABC369121510.8510.6810.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC0.98781.97562.96343.95124.9394.324.394.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeABC102030405041.7942.5241.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkABC2040608010090.4790.0488.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeABC112233445546.3747.1247.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeABC369121512.0812.0811.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC1.27582.55163.82745.10326.3795.675.585.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC1.27582.55163.82745.10326.3795.585.595.67

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: motorBike - Execution TimeABC306090120150111.18111.59112.951. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -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: 1000 - Broadcast Inner Join Test TimeABC369121511.7711.7011.59

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: MediumABC90180270360450427.7430.1423.6

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 TracerABC30K60K90K120K150K1275331278971260161. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC4812162017.0317.2817.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC1.27352.5473.82055.0946.36755.645.585.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeABC369121512.1011.9312.01

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: motorBike - Mesh TimeABC102030405042.6042.7343.201. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -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: 500 - Calculate Pi BenchmarkABC2040608010088.8989.3590.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeABC112233445546.9747.0747.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC369121512.2812.2912.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeABC4812162017.5717.3517.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC1.2692.5383.8075.0766.3455.575.645.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC1.27352.5473.82055.0946.36755.595.665.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC1.2782.5563.8345.1126.395.685.645.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABC1.10482.20963.31444.41925.5244.914.864.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeABC71421283529.3329.4929.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeABC71421283531.7331.7231.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC1.2692.5383.8075.0766.3455.645.605.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC1.27132.54263.81395.08526.35655.615.595.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC1.27582.55163.82745.10326.3795.675.615.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeABC71421283531.1731.0431.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABC2040608010089.9689.1490.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeABC91827364541.5741.4341.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeABC0.45680.91361.37041.82722.2842.022.012.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABC2468108.158.108.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkABC2040608010089.6389.1788.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC1.262.523.785.046.35.605.595.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC1.26452.5293.79355.0586.32255.575.595.62

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerABC50K100K150K200K250K2514022532562536571. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkABC2040608010088.5887.8088.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC112233445546.9246.5246.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABC2040608010088.5688.1088.81

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 TracerABC50K100K150K200K250K2455162474392472971. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkABC2040608010088.2687.9288.57

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 TracerABC15K30K45K60K75K7027269799703011. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC1.26682.53363.80045.06726.3345.625.595.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC1.26682.53363.80045.06726.3345.635.615.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkABC2040608010089.8889.4690.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeABC4812162016.9416.8816.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC1.27132.54263.81395.08526.35655.655.645.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC1.27352.5473.82055.0946.36755.635.665.62

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC160032004800640080007500744974691. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Primesieve

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12ABC369121510.8410.7710.811. (CXX) g++ options: -O3 -lpthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABC2040608010088.7088.2988.13

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 AtomsABC369121511.8711.9111.941. (CXX) g++ options: -O3 -pthread -lm -ldl

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerABC60K120K180K240K300K2916782899022911451. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkABC2040608010087.9087.3987.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeABC81624324032.7132.5832.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABC2040608010088.3588.6888.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkABC2040608010088.3388.5188.06

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: 1e13ABC306090120150137.24136.55136.921. (CXX) g++ options: -O3 -lpthread

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC170034005100680085007716768277031. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC4008001200160020001878188318851. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC2K4K6K8K10K8943891889111. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC1.2692.5383.8075.0766.3455.645.625.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeABC369121512.0612.0312.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeABC51015202521.2121.2321.28

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: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerABC30K60K90K120K150K1507501509271504601. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC4008001200160020001942194719411. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastABC50100150200250243.38243.63242.891. (CXX) g++ options: -O3 -flto -pthread

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerABC7K14K21K28K35K3089130836308101. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABC2040608010087.9488.1187.90

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: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC50010001500200025002250225322481. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABC2040608010088.3388.1488.20

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 TracerABC8K16K24K32K40K3598135915359141. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveABC0.23530.47060.70590.94121.17651.04591.04501.04401. (CXX) g++ options: -O3 -flto -pthread

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 TimeABC110022003300440055005009.775017.935010.141. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Mesh TimeABC80160240320400375.23375.84375.621. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -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: 20000000 - Partitions: 100 - Calculate Pi BenchmarkABC2040608010088.4288.3388.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABC2040608010088.4088.3888.31

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: ThoroughABC36912159.53989.54729.54561. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumABC2040608010079.7779.7279.741. (CXX) g++ options: -O3 -flto -pthread

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerABC6K12K18K24K30K3005030039300361. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7ABC13K26K39K52K65K60465.4560443.6460453.631. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeABC369121510.3710.3710.37

147 Results Shown

Apache Spark:
  1000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 100 - SHA-512 Benchmark Time
  10000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 2000 - Inner Join Test Time
  10000000 - 500 - Inner Join Test Time
  1000000 - 1000 - Inner Join Test Time
LAMMPS Molecular Dynamics Simulator
Apache Spark:
  20000000 - 2000 - Broadcast Inner Join Test Time
  40000000 - 1000 - Repartition Test Time
  1000000 - 2000 - Inner Join Test Time
  10000000 - 100 - Repartition Test Time
Unvanquished
Apache Spark:
  20000000 - 500 - Inner Join Test Time
  1000000 - 100 - Group By Test Time
  10000000 - 500 - Group By Test Time
  40000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 100 - Repartition Test Time
  20000000 - 100 - Inner Join Test Time
  1000000 - 100 - Repartition Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 500 - SHA-512 Benchmark Time
  40000000 - 500 - Inner Join Test Time
  40000000 - 2000 - Group By Test Time
  40000000 - 100 - Repartition Test Time
  40000000 - 100 - Inner Join Test Time
  10000000 - 100 - Inner Join Test Time
  20000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 1000 - Group By Test Time
  10000000 - 2000 - SHA-512 Benchmark Time
  20000000 - 1000 - Group By Test Time
  20000000 - 500 - Group By Test Time
  10000000 - 1000 - Group By Test Time
  20000000 - 500 - Repartition Test Time
  1000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 100 - Inner Join Test Time
  40000000 - 100 - Group By Test Time
OSPRay Studio
Apache Spark:
  20000000 - 1000 - Inner Join Test Time
  1000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 100 - SHA-512 Benchmark Time
  40000000 - 500 - SHA-512 Benchmark Time
  1000000 - 500 - Group By Test Time
  20000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Group By Test Time
  20000000 - 100 - Broadcast Inner Join Test Time
Unvanquished
Apache Spark:
  40000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 2000 - Inner Join Test Time
  1000000 - 1000 - Repartition Test Time
  40000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 500 - Inner Join Test Time
  20000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Repartition Test Time
Node.js V8 Web Tooling Benchmark
OSPRay Studio
Apache Spark:
  20000000 - 1000 - Repartition Test Time
  10000000 - 2000 - Repartition Test Time
OSPRay Studio
Apache Spark:
  10000000 - 1000 - Repartition Test Time
  1000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 500 - Repartition Test Time
  20000000 - 2000 - Calculate Pi Benchmark
  40000000 - 2000 - Inner Join Test Time
  10000000 - 1000 - Inner Join Test Time
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
OpenFOAM
Apache Spark
Unvanquished
OSPRay Studio
Apache Spark:
  10000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Group By Test Time
OpenFOAM
Apache Spark:
  10000000 - 500 - Calculate Pi Benchmark
  40000000 - 1000 - Inner Join Test Time
  10000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 100 - SHA-512 Benchmark Time
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Group By Test Time
  40000000 - 1000 - Group By Test Time
  40000000 - 500 - Group By Test Time
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - SHA-512 Benchmark Time
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 2000 - Repartition Test Time
  1000000 - 500 - Repartition Test Time
  10000000 - 100 - Group By Test Time
  20000000 - 1000 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
OSPRay Studio
Apache Spark:
  1000000 - 2000 - Calculate Pi Benchmark
  40000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 1000 - Calculate Pi Benchmark
OSPRay Studio
Apache Spark
OSPRay Studio
Apache Spark:
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 2000 - Calculate Pi Benchmark
  10000000 - 500 - SHA-512 Benchmark Time
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
OSPRay Studio
Primesieve
Apache Spark
LAMMPS Molecular Dynamics Simulator
OSPRay Studio
Apache Spark:
  10000000 - 100 - Calculate Pi Benchmark
  20000000 - 100 - SHA-512 Benchmark Time
  40000000 - 1000 - Calculate Pi Benchmark
  1000000 - 500 - Calculate Pi Benchmark
Primesieve
OSPRay Studio:
  2 - 4K - 1 - Path Tracer
  1 - 1080p - 1 - Path Tracer
  3 - 4K - 1 - Path Tracer
Apache Spark:
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Group By Test Time
  20000000 - 2000 - Repartition Test Time
OSPRay Studio:
  3 - 4K - 16 - Path Tracer
  2 - 1080p - 1 - Path Tracer
ASTC Encoder
OSPRay Studio
Apache Spark
OSPRay Studio
Apache Spark
OSPRay Studio
ASTC Encoder
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
Apache Spark:
  20000000 - 100 - Calculate Pi Benchmark
  40000000 - 100 - Calculate Pi Benchmark
ASTC Encoder:
  Thorough
  Medium
OSPRay Studio
Aircrack-ng
Apache Spark