7742 2P

2 x AMD EPYC 7742 64-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208078-NE-77422P15681
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C/C++ Compiler Tests 4 Tests
CPU Massive 3 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 3 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 2 Tests
Multi-Core 5 Tests
OpenMPI Tests 2 Tests
Scientific Computing 2 Tests
Server 2 Tests

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August 07 2022
  2 Hours, 45 Minutes
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August 07 2022
  2 Hours, 41 Minutes
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August 07 2022
  2 Hours, 49 Minutes
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August 07 2022
  3 Hours, 3 Minutes
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7742 2POpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse128GB280GB INTEL SSDPE21D280GAASPEEDVE2282 x Intel 10G X550TUbuntu 22.045.19.0-rc6-phx-retbleed (x86_64)X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDisplay ServerVulkanCompilerFile-SystemScreen Resolution7742 2P BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)- Python 3.10.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCDResult OverviewPhoronix Test Suite100%103%106%108%111%Aircrack-ngLAMMPS Molecular Dynamics SimulatorGROMACSNode.js V8 Web Tooling BenchmarkApache SparkASTC EncoderSVT-AV1PrimesieveTensorFlow Lite

7742 2Pspark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframetensorflow-lite: SqueezeNetspark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframetensorflow-lite: Mobilenet Quantspark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Inner Join Test Timetensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floatspark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Broadcast Inner Join Test Timetensorflow-lite: Inception ResNet V2spark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timelammps: Rhodopsin Proteinspark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 20000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 1000000 - 500 - Group By Test Timeaircrack-ng: spark: 10000000 - 100 - Repartition Test Timespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 100 - Group By Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Group By Test Timespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 100 - Inner Join Test Timespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 500 - SHA-512 Benchmark Timegromacs: MPI CPU - water_GMX50_barespark: 40000000 - 100 - Calculate Pi Benchmarkastcenc: Fastspark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Calculate Pi Benchmarksvt-av1: Preset 12 - Bosphorus 4Knode-web-tooling: spark: 20000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 500 - Calculate Pi Benchmarksvt-av1: Preset 12 - Bosphorus 1080pspark: 40000000 - 500 - SHA-512 Benchmark Timetensorflow-lite: Inception V4spark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 500 - Calculate Pi Benchmarksvt-av1: Preset 10 - Bosphorus 4Kspark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Calculate Pi Benchmarksvt-av1: Preset 4 - Bosphorus 1080pspark: 1000000 - 100 - Calculate Pi Benchmarksvt-av1: Preset 8 - Bosphorus 4Kspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 100 - Calculate Pi Benchmarksvt-av1: Preset 10 - Bosphorus 1080pspark: 20000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmarkastcenc: Mediumsvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Kprimesieve: 1e12lammps: 20k Atomsprimesieve: 1e13astcenc: Thoroughastcenc: Exhaustivespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 10000000 - 2000 - Group By Test TimeABCD2.762.404.912.712.5442931693.6555468743.423.112.9922237.65.094.254.4031059.34.475.152364138411.283.272.8090077567.3621296310.5196503837.9307351178.6317107162.8108712286.75597928611.8902049128.1939388946.91429540912.48584270531.0058.4613.13029142633.399866257.8456395514.33706777813.96325207618.545453631154148.01616.47985977417.4059683813.9814.54969215522.68462645964.21599793523.64426323325.35270740736.43104219865.4815652493.8720.06296024219.24787145235.88300535818.5552478837.23564003318.48340510521.3038477768.22217.638554814660.065565.68328234218.067665685101.0177.4817.97757233217.876743721241.89965.84237048911836018.40152767818.18618998218.00493945270.08917.89719618118.0721241363.85118.13190735143.28318.25757000917.861134093157.32718.01440493418.20377391818.192950092331.281872.5631.6522.39832.16626.41949.11585.49025.784.142.474.314.362.644.494.423.7016063.64.772.814.9622973.73.296.5818498211549.13.253.346.9977982041912929.668.619.743.4048316255.9310.1463198038.966.6413.76852903431.9137.43501151514.99157559131.6266626018.3712.90521904713.6849692318.841565475162628.46916.9318.010789584.0813.7621.8268.5622.0424.34772379735.42852345762.163.9419.57160558818.93254747536.7219.17550772135.75470801217.9620.887.9618.217860887667.519665.66890444217.933370977104.0177.718.3017.852601197236.34766.13945180911919617.9418.15528440517.64773230971.19818.1817.733.88118.2343.39718.0318.03158.07917.8417.94519582318.315629522332.949572.7561.6382.38932.23526.39948.9985.49013.114.982.575.263.403.072.823.504.55474387514518.33.363.633.3932985.63.127.2416945310621.63.022.946.8419261411.449.7710.592.835.6410.138.857.6413.27194907435.6047.4013.6033.518.8513.3584004212.67748835319.64171205.23415.8418.914.3613.8621.46846929366.03737236723.5423.5235.4462.3301460073.9819.50465223118.45801777635.65804570119.19727663835.71853377217.7590980620.5385071747.94917.931609137651.500265.0117.80102.5287.6318.0518.18242.76166.1275937611956118.18517029317.7617.9170.48717.9417.973.81918.2843.14718.08266064317.831069172155.92117.9618.0918.06331.931872.2981.6352.3832.0526.44849.02925.48552.803.513.072.993.504.272.932.872.9617164.94.912.943.9430371.44.045.541851198359.232.402.538.7416799212.138.308.793.115.60662598210.7671691759.547.2714.3631.5627.7714.8536.028.8314.5214.2620.73157883.98415.3719.114.1915.0620.77577809162.8924.0123.49399428638.0661.144.1320.7819.6237.7718.2136.2517.7821.218.20317.95672.743667.02982820818.35101.6697.6217.80480562318.34241.11764.4511651617.9718.0917.8869.81817.8317.9529544823.80818.4542.6618.3418.13158.4218.1218.1018.16329.123173.1141.6342.3932.09326.50449.07655.487815.6323.27315730327.1629.61OpenBenchmarking.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: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeADCB1.30052.6013.90155.2026.50252.762.803.115.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeADBC1.12052.2413.36154.4825.60252.403.514.144.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBCDA1.10482.20963.31444.41925.5242.472.573.074.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeADBC1.18352.3673.55054.7345.91752.712.994.315.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeACDB0.9811.9622.9433.9244.9052.5442931693.4000000003.5000000004.360000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBCAD0.96081.92162.88243.84324.8042.6400000003.0700000003.6555468744.270000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeCDAB1.01032.02063.03094.04125.05152.822.933.424.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeDACB0.99451.9892.98353.9784.97252.873.113.504.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeDABC1.02482.04963.07444.09925.1242.9600000002.9900000003.7000000004.554743875

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetCBDA5K10K15K20K25K14518.316063.617164.922237.6

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeCBDA1.14532.29063.43594.58125.72653.364.774.915.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeBDCA0.95631.91262.86893.82524.78152.812.943.634.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeCDAB1.1162.2323.3484.4645.583.393.944.404.96

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantBDAC7K14K21K28K35K22973.730371.431059.332985.6

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeCBDA1.00582.01163.01744.02325.0293.123.294.044.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeADBC2468105.155.546.587.24

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileCBDA50K100K150K200K250K169453184982185119236413

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatDACB2K4K6K8K10K8359.238411.2810621.6011549.10

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeDCBA0.73581.47162.20742.94323.6792.403.023.253.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeDACB0.75151.5032.25453.0063.75752.5300000002.8090077562.9400000003.340000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeCBAD2468106.8400000006.9977982047.3600000008.740000000

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2DBCA50K100K150K200K250K167992191292192614212963

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 - Repartition Test TimeBACD36912159.66000000010.51965038311.44000000012.130000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeADBC36912157.9307351178.3000000008.6100000009.770000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeADBC36912158.6317107168.7900000009.74000000010.590000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeACDB0.76611.53222.29833.06443.83052.8108712282.8300000003.1100000003.404831625

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeDCBA2468105.6066259825.6400000005.9300000006.755979286

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeCBDA369121510.1310.1510.7711.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeACBD36912158.1939388948.8500000008.9600000009.540000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeBADC2468106.6400000006.9142954097.2700000007.640000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeACBD4812162012.4913.2713.7714.36

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 ProteinCBDA81624324035.6031.9131.5631.011. (CXX) g++ options: -O3 -lm -ldl

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeCBDA2468107.4000000007.4350115157.7700000008.460000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeACDB4812162013.1313.6014.8514.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeBACD81624324031.6333.4033.5136.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABDC2468107.845639558.370000008.830000008.85000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeBCAD4812162012.9113.3614.3414.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeCBAD4812162012.6813.6813.9614.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeABCD51015202518.5518.8419.6420.73

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 1.7CBDA40K80K120K160K200K171205.23162628.47157883.98154148.021. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -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 - Repartition Test TimeDCAB4812162015.3715.8416.4816.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABCD51015202517.4118.0118.9119.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeABDC0.9811.9622.9433.9244.9053.984.084.194.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeBCAD4812162013.7613.8614.5515.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeDCBA51015202520.7821.4721.8222.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeDACB153045607562.8964.2266.0468.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeBCAD61218243022.0423.5423.6424.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeDCBA61218243023.4923.5224.3525.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeBCAD91827364535.4335.4436.4338.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeDBCA153045607561.1462.1662.3365.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABCD0.92931.85862.78793.71724.64653.873.943.984.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeCBAD51015202519.5019.5720.0620.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeCBAD51015202518.4618.9319.2519.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeCABD91827364535.6635.8836.7237.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeDABC51015202518.2118.5619.1819.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeCBDA91827364535.7235.7536.2537.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkCDBA51015202517.7617.7817.9618.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeCBDA51015202520.5420.8821.2121.30

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareADBC2468108.2228.2037.9607.9491. (CXX) g++ options: -O3

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkACDB4812162017.6417.9317.9518.22

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: FastDBAC150300450600750672.74667.52660.07651.501. (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: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeCBAD153045607565.0165.6765.6867.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkCBAD51015202517.8017.9318.0718.35

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KBCDA20406080100104.02102.53101.67101.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 BenchmarkBCDA2468107.707.637.627.48

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 BenchmarkDACB51015202517.8017.9818.0518.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkBACD51015202517.8517.8818.1818.34

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pCADB50100150200250242.76241.90241.12236.351. (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 TimeDACB153045607564.4565.8466.1366.14

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4DABC30K60K90K120K150K116516118360119196119561

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkBDCA51015202517.9417.9718.1918.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkCDBA4812162017.7618.0918.1618.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkBDCA4812162017.6517.8817.9118.00

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KBCAD163248648071.2070.4970.0969.821. (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 - Calculate Pi BenchmarkDACB4812162017.8317.9017.9418.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkBDCA4812162017.7317.9517.9718.07

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pBACD0.87321.74642.61963.49284.3663.8813.8513.8193.8081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABCD51015202518.1318.2318.2818.45

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KBACD102030405043.4043.2843.1542.661. (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 BenchmarkBCAD51015202518.0318.0818.2618.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkCABD4812162017.8317.8618.0318.13

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pDBAC4080120160200158.42158.08157.33155.921. (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: 500 - Calculate Pi BenchmarkBCAD4812162017.8417.9618.0118.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkBCDA4812162017.9518.0918.1018.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkCDAB51015202518.0618.1618.1918.32

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: MediumBCAD70140210280350332.95331.93331.28329.121. (CXX) g++ options: -O3 -flto -pthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pDBAC163248648073.1172.7672.5672.301. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABCD0.37170.74341.11511.48681.85851.6521.6381.6351.6341. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 1e12CBDA0.53961.07921.61882.15842.6982.3802.3892.3902.3981. (CXX) g++ options: -O3

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 AtomsBADC71421283532.2432.1732.0932.051. (CXX) g++ options: -O3 -lm -ldl

Primesieve

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13BACD61218243026.4026.4226.4526.501. (CXX) g++ options: -O3

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: ThoroughADCB112233445549.1249.0849.0349.001. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveABDC1.23532.47063.70594.94126.17655.49025.49015.48785.48551. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeD4812162015.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeD61218243023.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeD61218243027.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeD71421283529.61

97 Results Shown

Apache Spark:
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
TensorFlow Lite
Apache Spark:
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
TensorFlow Lite
Apache Spark:
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Inner Join Test Time
TensorFlow Lite:
  NASNet Mobile
  Mobilenet Float
Apache Spark:
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Broadcast Inner Join Test Time
TensorFlow Lite
Apache Spark:
  1000000 - 1000 - Repartition Test Time
  1000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 100 - Group By Test Time
  1000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 100 - SHA-512 Benchmark Time
  1000000 - 500 - Repartition Test Time
  1000000 - 500 - SHA-512 Benchmark Time
  1000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 1000 - Inner Join Test Time
LAMMPS Molecular Dynamics Simulator
Apache Spark:
  1000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  20000000 - 100 - SHA-512 Benchmark Time
  1000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 500 - Inner Join Test Time
  1000000 - 2000 - Repartition Test Time
  1000000 - 500 - Group By Test Time
Aircrack-ng
Apache Spark:
  10000000 - 100 - Repartition Test Time
  1000000 - 2000 - Group By Test Time
  1000000 - 100 - Repartition Test Time
  1000000 - 2000 - Inner Join Test Time
  10000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 100 - Group By Test Time
  20000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 100 - SHA-512 Benchmark Time
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - SHA-512 Benchmark Time
  1000000 - 1000 - Group By Test Time
  20000000 - 500 - SHA-512 Benchmark Time
  10000000 - 100 - Inner Join Test Time
  20000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 2000 - Calculate Pi Benchmark
  10000000 - 500 - SHA-512 Benchmark Time
GROMACS
Apache Spark
ASTC Encoder
Apache Spark:
  40000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 1000 - Calculate Pi Benchmark
SVT-AV1
Node.js V8 Web Tooling Benchmark
Apache Spark:
  20000000 - 100 - Calculate Pi Benchmark
  10000000 - 500 - Calculate Pi Benchmark
SVT-AV1
Apache Spark
TensorFlow Lite
Apache Spark:
  20000000 - 2000 - Calculate Pi Benchmark
  1000000 - 1000 - Calculate Pi Benchmark
  1000000 - 500 - Calculate Pi Benchmark
SVT-AV1
Apache Spark:
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 2000 - Calculate Pi Benchmark
SVT-AV1
Apache Spark
SVT-AV1
Apache Spark:
  20000000 - 1000 - Calculate Pi Benchmark
  10000000 - 100 - Calculate Pi Benchmark
SVT-AV1
Apache Spark:
  20000000 - 500 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark
ASTC Encoder
SVT-AV1:
  Preset 8 - Bosphorus 1080p
  Preset 4 - Bosphorus 4K
Primesieve
LAMMPS Molecular Dynamics Simulator
Primesieve
ASTC Encoder:
  Thorough
  Exhaustive
Apache Spark:
  10000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Repartition Test Time
  10000000 - 2000 - Group By Test Time