xeon aug

Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 11 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 2208041-NE-XEONAUG3480
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
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
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
Toggle/Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
A
August 04 2022
  9 Hours, 10 Minutes
B
August 04 2022
  9 Hours, 10 Minutes
Invert Behavior (Only Show Selected Data)
  9 Hours, 10 Minutes
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 augOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads)TYAN S7100AG2NR (V4.02 BIOS)Intel Sky Lake-E DMI3 Registers46GB240GB Corsair Force MP500ASPEEDRealtek ALC8922 x Intel I350Debian 115.10.0-10-amd64 (x86_64)X Server1.0.2GCC 10.2.1 20210110ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon Aug BenchmarksSystem Logs- Transparent Huge Pages: always- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-Km9U7s/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-Km9U7s/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x500002c - OpenJDK Runtime Environment (build 11.0.14+9-post-Debian-1deb11u1)- Python 3.9.2- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

A vs. B ComparisonPhoronix Test SuiteBaseline+8.1%+8.1%+16.2%+16.2%+24.3%+24.3%11.7%8.3%7.5%7.3%7.1%7%5.8%5.5%5.1%4.7%4.6%4.5%3.6%3.5%3.4%3.1%3.1%3%2.7%2.5%2.4%2.4%2.3%2.2%2.2%2.1%1000000 - 100 - B.I.J.T.T32.2%1000000 - 100 - R.T.T17.3%10000000 - 100 - I.J.T.T12.1%20000000 - 2000 - S.5.B.T10000000 - 500 - I.J.T.T11.5%10000000 - 1000 - S.5.B.T10000000 - 2000 - I.J.T.T1000000 - 500 - I.J.T.T7.4%40000000 - 1000 - S.5.B.T1000000 - 1000 - I.J.T.T1000000 - 100 - S.5.B.T1000000 - 100 - I.J.T.T6.2%20000000 - 500 - S.5.B.T5.9%40000000 - 2000 - S.5.B.T20000000 - 2000 - R.T.T5.6%1000000 - 500 - S.5.B.T20000000 - 500 - B.I.J.T.T5.3%10000000 - 2000 - B.I.J.T.T10000000 - 500 - Group By Test Time5%40000000 - 100 - S.5.B.T4.8%Rhodopsin Protein20000000 - 100 - S.5.B.T4.6%20000000 - 100 - B.I.J.T.T40000000 - 500 - R.T.T4.5%10000000 - 100 - Group By Test Time1000000 - 500 - B.I.J.T.T4.4%40000000 - 500 - I.J.T.T3.9%40000000 - 2000 - Group By Test Time40000000 - 1000 - R.T.T10000000 - 100 - R.T.T3.5%1000000 - 1000 - R.T.T1000000 - 500 - Group By Test Time3.3%20000000 - 100 - I.J.T.T3.3%10000000 - 500 - R.T.T3.3%Preset 12 - Bosphorus 1080p20000000 - 2000 - I.J.T.T1000000 - 2000 - B.I.J.T.T40000000 - 500 - S.5.B.T3%40000000 - 2000 - I.J.T.T1000000 - 1000 - B.I.J.T.T2.7%Preset 8 - Bosphorus 1080p10000000 - 1000 - C.P.B.U.D10000000 - 500 - S.5.B.T10000000 - 1000 - R.T.T2.4%1000000 - 1000 - S.5.B.T10000000 - 1000 - B.I.J.T.T10000000 - 2000 - R.T.T1000000 - 2000 - R.T.T20000000 - 2000 - Group By Test Time2.1%Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkLAMMPS Molecular Dynamics SimulatorApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkAB

xeon augspark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 500 - Inner Join Test Timespark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 100 - Inner Join Test Timespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Repartition Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Group By Test Timespark: 40000000 - 100 - SHA-512 Benchmark Timelammps: Rhodopsin Proteinspark: 20000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Repartition Test Timespark: 10000000 - 100 - Group By Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Inner Join Test Timespark: 40000000 - 2000 - Group By Test Timespark: 40000000 - 1000 - Repartition Test Timespark: 10000000 - 100 - Repartition Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 500 - Group By Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timesvt-av1: Preset 12 - Bosphorus 1080pspark: 20000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Inner Join Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timesvt-av1: Preset 8 - Bosphorus 1080pspark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 20000000 - 2000 - Group By Test Timespark: 20000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Group By Test Timespark: 40000000 - 500 - Group By Test Timesvt-av1: Preset 10 - Bosphorus 1080pspark: 20000000 - 1000 - Group By Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Group By Test Timespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 100 - Repartition Test Timespark: 20000000 - 100 - Group By Test Timesvt-av1: Preset 10 - Bosphorus 4Kspark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Repartition Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Inner Join Test Timespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 8 - Bosphorus 4Kspark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Group By Test Timespark: 10000000 - 1000 - Group By Test Timespark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Repartition Test Timespark: 20000000 - 500 - Inner Join Test Timespark: 20000000 - 100 - Repartition Test Timespark: 40000000 - 100 - Group By Test Timesvt-av1: Preset 4 - Bosphorus 1080pspark: 40000000 - 1000 - Group By Test Timespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Broadcast Inner Join Test Timesvt-av1: Preset 12 - Bosphorus 4Kspark: 10000000 - 2000 - Group By Test Timespark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 4 - Bosphorus 4Kspark: 1000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Calculate Pi Benchmarknode-web-tooling: spark: 20000000 - 1000 - Inner Join Test Timespark: 20000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 1000 - Group By Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - Repartition Test Timeprimesieve: 1e12spark: 40000000 - 100 - Calculate Pi Benchmarklammps: 20k Atomsastcenc: Thoroughspark: 10000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 1000 - Calculate Pi Benchmarkprimesieve: 1e13spark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmarkastcenc: Fastspark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmarkastcenc: Exhaustivespark: 40000000 - 2000 - Calculate Pi Benchmarkaircrack-ng: spark: 10000000 - 100 - Calculate Pi Benchmarkastcenc: Mediumspark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Calculate Pi BenchmarkAB1.712.0811.01268854626.72883451410.22183673116.0012.3969344162.0445.382.424.872.2722.89627385845.64228819316.2100304954.9818.8498912212.0886129138.7547.387.7925.56071214322.78153993532.23328867910.7690089251.6039.9116214427.7877212532.8354327399.072.445.7121.6218138588.83169.9722.6832065972.7247.7042.161.8764.4459.2314.0822041319.264.8211.068.962.8713.44528288416.38656349.175.9532.064820267142.24813.44061532838.6384068756.4714.80908668534.87505375814.1089239355.51643.3765035053.1411.3461733569.252.5311.22183296439.1943459929.309.2629.2669.13448267912.2174396089.779.14165.222241482165.2309552439.9342.59991902220.0220323749.2232.16822697519.62598040117.73744766333.533.07630.1355825149.19165.43339647137.78442546484.2710.139.229.1841.678662619.321.175165.525662302164.5658076488.3720.754253155164.5421508215.959.319.24904796824.07928974516.38766354318.382166.1214310858.3576.900114.678975515164.770495237218.432165.262615715166.5336590969.167490585167.070615901143.2759.155.044554868164.384304111164.4139060140.6972164.63004560937537.176166.79068858653.541220.877051043164.4145317432.262.4412.3523.9211.4014.7811.5372386342.1942.312.264.552.4124.2543.1517.114.7219.85413214611.5001129099.1949.678.15726.74817209921.77421053733.6710.311.6741.45829043226.8231.7153876969.392.365.9022.349.12175.25122.002.6449.13209368741.0376946591.9266.0489.0113.759.484.7110.8185515618.772.8113.72127716616.6955993319.346.0632.64139.87713.6638.026.3715.04057943334.3814.3156.24143.9318851153.1811.219.142.5611.3539.649.209.1728.9919.2212.3312805329.869.222602799163.861869284163.87402708910.0142.30144158320.1623572399.1631.9619.7517.6333.733.09429.9695150239.14164.55492691837.98400019984.68310.17942819.189.2241.509.361.18164.858251247165.1717642478.3420.826974976165.1041090125.979.289.2224.00383209316.43058173918.43166.5465378658.3376.913814.707623302165.07990747218.034165.024355195166.2941348629.18167.287774211143.09219.145.05164.549503488164.2653933720.6968164.70647486837546.297166.82606032253.535320.878588873164.420254704OpenBenchmarking.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: 100 - Broadcast Inner Join Test TimeBA0.50851.0171.52552.0342.54252.261.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeBA0.5491.0981.6472.1962.7452.442.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeBA369121512.3511.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB61218243026.7323.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeBA369121511.4010.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB4812162016.0014.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeAB369121512.4011.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeBA0.49280.98561.47841.97122.4642.192.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB102030405045.3842.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeAB0.54451.0891.63352.1782.72252.422.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeAB1.09582.19163.28744.38325.4794.874.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeBA0.54231.08461.62692.16922.71152.412.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeBA61218243024.2522.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeAB102030405045.6443.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeBA4812162017.1116.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeAB1.12052.2413.36154.4825.60254.984.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA51015202519.8518.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB369121512.0911.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeBA36912159.198.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeBA112233445549.6747.38

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 ProteinAB2468107.7908.1571. (CXX) g++ options: -O3 -pthread -lm -ldl

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeBA61218243026.7525.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB51015202522.7821.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeBA81624324033.6732.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeAB369121510.7710.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA0.37580.75161.12741.50321.8791.671.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeBA91827364541.4639.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeAB71421283527.7926.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeAB81624324032.8431.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeBA36912159.399.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeAB0.5491.0981.6472.1962.7452.442.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeBA1.32752.6553.98255.316.63755.905.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeBA51015202522.3421.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeBA36912159.128.83

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pAB4080120160200169.97175.251. (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: 2000 - Inner Join Test TimeAB51015202522.6822.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB0.6121.2241.8362.4483.062.722.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeBA112233445549.1347.70

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeAB102030405042.1641.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA0.4320.8641.2961.7282.161.921.87

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pAB153045607564.4566.051. (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 - Calculate Pi Benchmark Using DataframeAB36912159.239.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeAB4812162014.0813.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeBA36912159.489.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB1.08452.1693.25354.3385.42254.824.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB369121511.0610.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeAB36912158.968.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeAB0.64581.29161.93742.58323.2292.872.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeBA4812162013.7213.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeBA4812162016.7016.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA36912159.349.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeBA2468106.065.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeBA81624324032.6432.06

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pBA306090120150139.88142.251. (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 TimeBA4812162013.6613.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB91827364538.6438.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeAB2468106.476.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA4812162015.0414.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeAB81624324034.8834.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeBA4812162014.3114.11

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KAB132639526555.5256.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA102030405043.9343.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeBA0.71551.4312.14652.8623.57753.183.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeAB369121511.3511.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB36912159.259.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeBA0.5761.1521.7282.3042.882.562.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA369121511.3511.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeBA91827364539.6439.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB36912159.309.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB36912159.269.17

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KBA71421283528.9929.271. (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 Benchmark Using DataframeBA36912159.2200000009.134482679

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeBA369121512.3312.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeBA36912159.869.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA36912159.2226027999.140000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkAB4080120160200165.22163.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkAB4080120160200165.23163.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA369121510.019.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeAB102030405042.6042.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA51015202520.1620.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB36912159.229.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeAB71421283532.1731.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeBA51015202519.7519.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeAB4812162017.7417.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeBA81624324033.7333.53

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pAB0.69621.39242.08862.78483.4813.0763.0941. (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: 1000 - Group By Test TimeAB71421283530.1429.97

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB36912159.199.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkAB4080120160200165.43164.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA91827364537.9837.78

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KAB2040608010084.2784.681. (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: 2000 - Group By Test TimeBA369121510.1810.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB36912159.229.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeBA36912159.229.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB102030405041.6841.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeBA36912159.369.32

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KAB0.26550.5310.79651.0621.32751.1751.1801. (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 BenchmarkAB4080120160200165.53164.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkBA4080120160200165.17164.57

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 BenchmarkBA2468108.348.37

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeBA51015202520.8320.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkBA4080120160200165.10164.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeBA1.34332.68664.02995.37326.71655.975.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB36912159.319.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB36912159.2490479689.220000000

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB61218243024.0824.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeBA4812162016.4316.39

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: 1e12BA51015202518.4318.381. (CXX) g++ options: -O3 -lpthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkBA4080120160200166.55166.12

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 AtomsBA2468108.3378.3571. (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: ThoroughAB2468106.90016.91381. (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: 100 - SHA-512 Benchmark TimeBA4812162014.7114.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkBA4080120160200165.08164.77

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: 1e13AB50100150200250218.43218.031. (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 BenchmarkAB4080120160200165.26165.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkAB4080120160200166.53166.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBA36912159.1800000009.167490585

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkBA4080120160200167.29167.07

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: FastBA306090120150143.09143.281. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB36912159.159.14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA1.13632.27263.40894.54525.68155.0500000005.044554868

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkBA4080120160200164.55164.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkAB4080120160200164.41164.27

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveBA0.15690.31380.47070.62760.78450.69680.69721. (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 - Calculate Pi BenchmarkBA4080120160200164.71164.63

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 1.7AB8K16K24K32K40K37537.1837546.301. (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 - Calculate Pi BenchmarkBA4080120160200166.83166.79

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: MediumBA122436486053.5453.541. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA51015202520.8820.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkBA4080120160200164.42164.41

130 Results Shown

Apache Spark:
  1000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 100 - Repartition Test Time
  10000000 - 100 - Inner Join Test Time
  20000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 500 - Inner Join Test Time
  10000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 2000 - Inner Join Test Time
  1000000 - 500 - Inner Join Test Time
  40000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 1000 - Inner Join Test Time
  1000000 - 100 - SHA-512 Benchmark Time
  1000000 - 100 - Inner Join Test Time
  20000000 - 500 - SHA-512 Benchmark Time
  40000000 - 2000 - SHA-512 Benchmark Time
  20000000 - 2000 - Repartition Test Time
  1000000 - 500 - SHA-512 Benchmark Time
  20000000 - 500 - Broadcast Inner Join Test Time
  10000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 500 - Group By Test Time
  40000000 - 100 - SHA-512 Benchmark Time
LAMMPS Molecular Dynamics Simulator
Apache Spark:
  20000000 - 100 - SHA-512 Benchmark Time
  20000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 500 - Repartition Test Time
  10000000 - 100 - Group By Test Time
  1000000 - 500 - Broadcast Inner Join Test Time
  40000000 - 500 - Inner Join Test Time
  40000000 - 2000 - Group By Test Time
  40000000 - 1000 - Repartition Test Time
  10000000 - 100 - Repartition Test Time
  1000000 - 1000 - Repartition Test Time
  1000000 - 500 - Group By Test Time
  20000000 - 100 - Inner Join Test Time
  10000000 - 500 - Repartition Test Time
SVT-AV1
Apache Spark:
  20000000 - 2000 - Inner Join Test Time
  1000000 - 2000 - Broadcast Inner Join Test Time
  40000000 - 500 - SHA-512 Benchmark Time
  40000000 - 2000 - Inner Join Test Time
  1000000 - 1000 - Broadcast Inner Join Test Time
SVT-AV1
Apache Spark:
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - SHA-512 Benchmark Time
  10000000 - 1000 - Repartition Test Time
  1000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Repartition Test Time
  1000000 - 2000 - Repartition Test Time
  20000000 - 2000 - Group By Test Time
  20000000 - 500 - Repartition Test Time
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Group By Test Time
  40000000 - 500 - Group By Test Time
SVT-AV1
Apache Spark:
  20000000 - 1000 - Group By Test Time
  40000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Group By Test Time
  10000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 100 - Repartition Test Time
  20000000 - 100 - Group By Test Time
SVT-AV1
Apache Spark:
  40000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 2000 - Inner Join Test Time
  10000000 - 1000 - Inner Join Test Time
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Repartition Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 1000 - Inner Join Test Time
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
SVT-AV1
Apache Spark:
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - Group By Test Time
  10000000 - 1000 - Group By Test Time
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Calculate Pi Benchmark
  20000000 - 1000 - Calculate Pi Benchmark
  10000000 - 500 - Broadcast Inner Join Test Time
  40000000 - 100 - Inner Join Test Time
  20000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - Repartition Test Time
  20000000 - 500 - Inner Join Test Time
  20000000 - 100 - Repartition Test Time
  40000000 - 100 - Group By Test Time
SVT-AV1
Apache Spark:
  40000000 - 1000 - Group By Test Time
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - Calculate Pi Benchmark
  40000000 - 2000 - Broadcast Inner Join Test Time
SVT-AV1
Apache Spark:
  10000000 - 2000 - Group By Test Time
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
SVT-AV1
Apache Spark:
  1000000 - 100 - Calculate Pi Benchmark
  10000000 - 1000 - Calculate Pi Benchmark
Node.js V8 Web Tooling Benchmark
Apache Spark:
  20000000 - 1000 - Inner Join Test Time
  20000000 - 100 - Calculate Pi Benchmark
  1000000 - 1000 - Group By Test Time
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 1000 - Repartition Test Time
Primesieve
Apache Spark
LAMMPS Molecular Dynamics Simulator
ASTC Encoder
Apache Spark:
  10000000 - 100 - SHA-512 Benchmark Time
  40000000 - 1000 - Calculate Pi Benchmark
Primesieve
Apache Spark:
  1000000 - 1000 - Calculate Pi Benchmark
  10000000 - 2000 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Calculate Pi Benchmark
ASTC Encoder
Apache Spark:
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - SHA-512 Benchmark Time
  20000000 - 2000 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark
ASTC Encoder
Apache Spark
Aircrack-ng
Apache Spark
ASTC Encoder
Apache Spark:
  20000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 500 - Calculate Pi Benchmark