xeon auggy

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 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 2208101-NE-XEONAUGGY51
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

C/C++ Compiler Tests 3 Tests
CPU Massive 3 Tests
Creator Workloads 3 Tests
HPC - High Performance Computing 3 Tests
Molecular Dynamics 2 Tests
Multi-Core 5 Tests
OpenMPI Tests 2 Tests
Python Tests 2 Tests
Scientific Computing 2 Tests
Server 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
A
August 08 2022
  1 Day, 2 Hours, 41 Minutes
B
August 09 2022
  1 Day, 2 Hours, 50 Minutes
C
August 09 2022
  1 Day, 2 Hours, 51 Minutes
Invert Hiding All Results Option
  1 Day, 2 Hours, 47 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


xeon auggyOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 (1150MHz)Realtek ALC1150DELL S2409W2 x Intel I210Ubuntu 20.045.9.0-050900rc8daily20201007-generic (x86_64) 20201006X Server 1.20.8OpenCL 2.1GCC 9.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerOpenCLCompilerFile-SystemScreen ResolutionXeon Auggy BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 1.9.1 - A: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.20.04.1) - B: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.20.04.1) - C: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu120.04) - Python 3.8.10- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

ABCResult OverviewPhoronix Test Suite100%101%102%103%LAMMPS Molecular Dynamics SimulatorOpenFOAMNode.js V8 Web Tooling BenchmarkPrimesieveApache SparkSVT-AV1AI Benchmark AlphaASTC EncoderAircrack-ngOSPRay Studio

xeon auggyspark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timelammps: Rhodopsin Proteinspark: 40000000 - 1000 - Inner Join Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Repartition Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 500 - Repartition Test Timespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Group By Test Timespark: 10000000 - 500 - Group By Test Timespark: 40000000 - 1000 - Repartition Test Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 20000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 1000000 - 2000 - Group By Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Repartition Test Timespark: 40000000 - 500 - Group By Test Timespark: 20000000 - 1000 - Repartition Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 100 - Group By Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 500 - Group By Test Timespark: 40000000 - 500 - Inner Join Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Group By Test Timespark: 40000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - Group By Test Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 100 - SHA-512 Benchmark Timeospray-studio: 3 - 4K - 16 - Path Tracerspark: 1000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - Group By Test Timespark: 10000000 - 1000 - Repartition Test Timeprimesieve: 1e13spark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 500 - Inner Join Test Timespark: 10000000 - 100 - Group By Test Timespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Repartition Test Timesvt-av1: Preset 12 - Bosphorus 1080pspark: 10000000 - 500 - Inner Join Test Timespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 10000000 - 2000 - Group By Test Timespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Repartition Test Timespark: 20000000 - 500 - Group By Test Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timenode-web-tooling: spark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 100 - Repartition Test Timespark: 40000000 - 1000 - Group By Test Timespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Repartition Test Timespark: 20000000 - 1000 - Inner Join Test Timespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 10 - Bosphorus 4Kspark: 40000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - SHA-512 Benchmark Timesvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kspark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 4 - Bosphorus 1080pspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmarkai-benchmark: Device Inference Scorespark: 40000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Calculate Pi Benchmarkospray-studio: 3 - 4K - 32 - Path Tracerspark: 1000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframeospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerai-benchmark: Device AI Scoreospray-studio: 1 - 1080p - 32 - Path Tracerprimesieve: 1e12spark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 100 - Calculate Pi Benchmarkospray-studio: 1 - 4K - 32 - Path Tracersvt-av1: Preset 8 - Bosphorus 1080pspark: 20000000 - 1000 - Group By Test Timeospray-studio: 2 - 1080p - 16 - Path Tracerspark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframeospray-studio: 2 - 4K - 32 - Path Tracerlammps: 20k Atomsastcenc: Fastspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframeai-benchmark: Device Training Scoresvt-av1: Preset 4 - Bosphorus 4Kspark: 10000000 - 1000 - SHA-512 Benchmark Timeospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerspark: 10000000 - 500 - SHA-512 Benchmark Timesvt-av1: Preset 10 - Bosphorus 1080pospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Traceropenfoam: drivaerFastback, Small Mesh Size - Mesh Timeospray-studio: 3 - 1080p - 16 - Path Tracerastcenc: Thoroughospray-studio: 1 - 1080p - 16 - Path Tracerastcenc: Exhaustiveaircrack-ng: ospray-studio: 1 - 1080p - 1 - Path Tracerastcenc: Mediumopenfoam: motorBikeABC3.7725.1642.5025.953.2825.0502573340.173.925.0419.395.912.92882.54317383982.1134.50355491183.5823.245.773.3722.6320.5512.46306208574.28864216423.223.8046.45342037424.7519.3862642032.5822.476.2543.794.743.795.6635.2345.94154447335.37851825118.4683.644.3450.494.063.235.1782.80774021226.0719.51616420381.74260800744.9021.0020.6528.1359698225190145.3084.9213.34477069718.328919575600.77927.3280.656.6042.44119971113.69157720122.8435.64190.35121.9448.3941.183.3514.0322.8869.8421.166155.0111.51398.64866546341.84512619791.7190.63869982970.4847.0322.55894715269.2942.6122.7646.3822.9833.14490.1322.48401.36458376722.6094.4649.87415.50922.690549977401.496532525402.18655612148.6722.842.81401.332606249400.02852203648.77403.702468589400.913271944402.442464151400.426130786728400.650025329401.238846452401.1969682261006962401.05024612322.822518326194219218413239151321175949.777402.451734582402.90466331981638041.9920.9511359522.8635654858479793.23362.223922.637850.78426.382582263102125.8097.53242954565887806627.081333512.97581099610.304715445.141635323.15122.9922.9043.0823.363.6122.7441.484.285.3419.466.213.16483.9088.0434.9485.5324.355.933.2622.81691583721.9813.3069.8322.203.5743.9524.1918.312.6623.756.4341.484.773.875.9335.9747.1637.0518.8387.094.1848.594.113.235.3683.1825.9320.1581.2944.6321.3221.2228.455061505.4384.3013.0318.73599.95427.4082.476.6143.1313.9022.8536.04187.9322.3549.28283933741.893.4114.2222.4870.1320.8735448486254.3711.34404.3541.4792.5791.7271.0947.0422.5070.1142.7022.5046.8822.7433.34791.0022.68404.94863010622.6195.2550.03315.5722.87404.54403.72007931248.9422.852.829402.43402.37961356449.07406.123251921403.30404.772768568402.19727402.35402.719701055403.171005292402.9222.722529326082218891413890151221142649.707403.935527176404.1381631042.11920.89635263211392922.938482603.22762.356322.577850.78626.362587963095625.8397.67542946965797797627.271334772.97841099050.304815454.366635123.14883.0522.4547.3524.3710558533.2622.9444.244.085.5021.035.743.1389.17762842388.6437.23940263390.0322.625.523.5024.2121.0213.1669.7221.813.6743.8425.6218.442.7323.056.6043.7862926874.523.675.6336.9948.1335.8419.2886.904.3550.564.223.355.3285.8226.8519.7283.7645.9221.5821.0028.885058405.3886.3513.2018.77614.07426.7880.876.7443.3413.9822.4036.35191.49422.21151899249.0741.9306287663.3614.2822.6171.0821.246153.1311.44403.2942.0592.9291.8071.3747.6222.7869.4343.1122.5846.8922.8133.47690.8322.47404.33438291622.7994.6228477950.29115.63522.82403.825241436405.1248.5922.687553092.824404.01389795402.68645946348.78405.29403.225050543403.703571948402.71724402.85403.356536986402.781002218402.2322.732526026195219832412178150721226449.591402.90404.3581916341.9820.9611380922.898504253.22462.189922.607830.78626.322586363097825.8497.60342893865827806627.691334552.9781099990.304915454.678635423.1414OpenBenchmarking.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 - Broadcast Inner Join Test TimeABC0.84831.69662.54493.39324.24153.772.993.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC61218243025.1622.9022.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeABC112233445542.5043.0847.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeABC61218243025.9523.3624.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC0.81231.62462.43693.24924.06153.283.613.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC61218243025.0522.7422.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC102030405040.1741.4844.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeABC0.9631.9262.8893.8524.8153.924.284.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABC1.23752.4753.71254.956.18755.045.345.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABC51015202519.3919.4621.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC2468105.916.215.74

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 ProteinABC0.71191.42382.13572.84763.55952.9283.1643.1301. (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: 40000000 - Partitions: 1000 - Inner Join Test TimeABC2040608010082.5483.9089.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC2040608010082.1188.0488.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeABC91827364534.5034.9437.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeABC2040608010083.5885.5390.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC61218243023.2424.3522.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeABC1.33432.66864.00295.33726.67155.775.935.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeABC0.78751.5752.36253.153.93753.373.263.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC61218243022.6322.8224.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeABC51015202520.5521.9821.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeABC369121512.4613.3013.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeABC163248648074.2969.8369.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC61218243023.2222.2021.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeABC0.8551.712.5653.424.2753.803.573.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeABC112233445546.4543.9543.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeABC61218243024.7524.1925.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeABC51015202519.3918.3118.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC0.61431.22861.84292.45723.07152.582.662.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeABC61218243022.4723.7523.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABC2468106.256.436.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC102030405043.7941.4843.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeABC1.07332.14663.21994.29325.36654.744.774.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABC0.87081.74162.61243.48324.3543.793.873.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeABC1.33432.66864.00295.33726.67155.665.935.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeABC91827364535.2335.9736.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeABC112233445545.9447.1648.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeABC91827364535.3837.0535.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeABC51015202518.4618.8319.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC2040608010083.6487.0986.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC0.97881.95762.93643.91524.8944.344.184.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeABC112233445550.4948.5950.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeABC0.94951.8992.84853.7984.74754.064.114.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeABC0.75381.50762.26143.01523.7693.233.233.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeABC1.2062.4123.6184.8246.035.175.365.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeABC2040608010082.8183.1885.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC61218243026.0725.9326.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeABC51015202519.5220.1519.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC2040608010081.7481.2983.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeABC102030405044.9044.6345.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC51015202521.0021.3221.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC51015202520.6521.2221.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeABC71421283528.1428.4528.88

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 TracerABC110K220K330K440K550K5190145061505058401. (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 - SHA-512 Benchmark TimeABC1.22182.44363.66544.88726.1095.305.435.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeABC2040608010084.9284.3086.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeABC369121513.3413.0313.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeABC51015202518.3318.7318.77

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: 1e13ABC130260390520650600.78599.95614.071. (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: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC61218243027.3227.4026.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC2040608010080.6582.4780.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC2468106.606.616.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeABC102030405042.4443.1343.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABC4812162013.6913.9013.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC51015202522.8422.8522.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeABC81624324035.6436.0436.35

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC4080120160200190.35187.93191.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeABC51015202521.9422.3522.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC112233445548.3949.2849.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeABC102030405041.1841.8941.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABC0.76731.53462.30193.06923.83653.353.413.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeABC4812162014.0314.2214.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC51015202522.8822.4822.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeABC163248648069.8470.1371.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeABC51015202521.1620.8721.24

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 TimeABC130026003900520065006155.016254.376153.131. (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

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 BenchmarkABC369121511.5111.3411.44

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABC90180270360450398.65404.35403.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC102030405041.8541.4742.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC2040608010091.7192.5792.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC2040608010090.6491.7291.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeABC163248648070.4871.0971.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeABC112233445547.0347.0447.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC51015202522.5622.5022.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeABC163248648069.2970.1169.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeABC102030405042.6142.7043.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC51015202522.7622.5022.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeABC112233445546.3846.8846.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC61218243022.9822.7422.81

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC81624324033.1433.3533.481. (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: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeABC2040608010090.1391.0090.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC51015202522.4822.6822.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABC90180270360450401.36404.95404.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC51015202522.6022.6122.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABC2040608010094.4695.2594.62

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC112233445549.8750.0350.291. (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 4KABC4812162015.5115.5715.641. (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: 100 - Calculate Pi Benchmark Using DataframeABC51015202522.6922.8722.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkABC90180270360450401.50404.54403.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABC90180270360450402.19403.72405.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeABC112233445548.6748.9448.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC51015202522.8422.8522.69

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC0.63651.2731.90952.5463.18252.8102.8292.8241. (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 BenchmarkABC90180270360450401.33402.43404.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkABC90180270360450400.03402.38402.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC112233445548.7749.0748.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABC90180270360450403.70406.12405.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkABC90180270360450400.91403.30403.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkABC90180270360450402.44404.77403.70

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkABC90180270360450400.43402.19402.71

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 ScoreABC160320480640800728727724

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABC90180270360450400.65402.35402.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkABC90180270360450401.24402.72403.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABC90180270360450401.20403.17402.78

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: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerABC200K400K600K800K1000K1006962100529210022181. (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 BenchmarkABC90180270360450401.05402.92402.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC51015202522.8222.7222.73

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 TracerABC5K10K15K20K25K2518325293252601. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerABC6K12K18K24K30K2619426082261951. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerABC50K100K150K200K250K2192182188912198321. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerABC90K180K270K360K450K4132394138904121781. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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 ScoreABC30060090012001500151315121507

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 TracerABC50K100K150K200K250K2117592114262122641. (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: 1e12ABC112233445549.7849.7149.591. (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: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABC90180270360450402.45403.94402.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkABC90180270360450402.90404.13404.35

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 TracerABC200K400K600K800K1000K8163808163108191631. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC102030405041.9942.1241.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeABC51015202520.9520.9020.96

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: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerABC20K40K60K80K100K1135951139291138091. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC51015202522.8622.9322.89

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 TracerABC200K400K600K800K1000K8479798482608504251. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsABC0.72741.45482.18222.90963.6373.2333.2273.2241. (CXX) g++ options: -O3 -pthread -lm -ldl

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: FastABC142842567062.2262.3662.191. (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: 2000 - Calculate Pi Benchmark Using DataframeABC51015202522.6322.5722.60

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 ScoreABC2004006008001000785785783

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC0.17690.35380.53070.70760.88450.7840.7860.7861. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC61218243026.3826.3626.32

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 TracerABC60K120K180K240K300K2582262587962586361. (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 TracerABC7K14K21K28K35K3102130956309781. (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: 500 - SHA-512 Benchmark TimeABC61218243025.8025.8325.84

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC2040608010097.5397.6897.601. (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: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerABC90K180K270K360K450K4295454294694289381. (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 TracerABC140028004200560070006588657965821. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerABC2K4K6K8K10K7806779778061. (CXX) g++ options: -O3 -lm -ldl -lpthread -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 - Mesh TimeABC140280420560700627.08627.27627.691. (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

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 TracerABC30K60K90K120K150K1333511334771334551. (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: ThoroughABC0.67011.34022.01032.68043.35052.97582.97842.97801. (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 TracerABC20K40K60K80K100K1099611099051099991. (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: ExhaustiveABC0.06860.13720.20580.27440.3430.30470.30480.30491. (CXX) g++ options: -O3 -flto -pthread

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7ABC3K6K9K12K15K15445.1415454.3715454.681. (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

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 TracerABC140028004200560070006353635163541. (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: MediumABC61218243023.1523.1523.141. (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.

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

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

153 Results Shown

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