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AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 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 2208047-NE-NEWEP408056
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A
August 04 2022
  10 Hours, 23 Minutes
B
August 04 2022
  10 Hours, 20 Minutes
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  10 Hours, 22 Minutes
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new epOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)ASRockRack EPYCD8 (P2.40 BIOS)AMD Starship/Matisse28GBSamsung SSD 970 EVO Plus 250GBASPEED2 x Intel I350Debian 115.10.0-10-amd64 (x86_64)GNOME Shell 3.38.6X ServerGCC 10.2.1 20210110ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionNew Ep 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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 11.0.13+8-post-Debian-1deb11u1)- Python 3.9.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

A vs. B ComparisonPhoronix Test SuiteBaseline+7.2%+7.2%+14.4%+14.4%+21.6%+21.6%28.6%20.9%19.4%13.8%13.3%11.4%10.6%9.6%9.6%9.3%9.2%9%8.9%8.8%8.8%8.6%8.5%8.3%7.8%7.6%7.6%7.3%7.2%6.9%6.8%6.7%5.7%5.6%5.4%5.1%5.1%4.8%4.7%4.6%4.3%3.7%3.6%3.5%3.1%3.1%2.8%2.6%2.6%2.4%2.4%2.3%2.2%2.2%2.2%2%2%2%1000000 - 100 - R.T.T1000000 - 100 - B.I.J.T.T1000000 - 2000 - R.T.T20000000 - 100 - B.I.J.T.T17.7%20000000 - 100 - I.J.T.T16.2%10000000 - 100 - I.J.T.T10000000 - 500 - B.I.J.T.T1000000 - 1000 - B.I.J.T.T40000000 - 2000 - Group By Test Time40000000 - 1000 - Group By Test Time10.4%40000000 - 500 - S.5.B.T10000000 - 2000 - B.I.J.T.T1000000 - 2000 - Group By Test Time1000000 - 500 - I.J.T.T40000000 - 500 - R.T.TPreset 12 - Bosphorus 4K1000000 - 2000 - I.J.T.T10000000 - 500 - S.5.B.T40000000 - 1000 - R.T.T1000000 - 100 - S.5.B.T1000000 - 500 - R.T.T1000000 - 1000 - I.J.T.T40000000 - 2000 - R.T.T7.7%40000000 - 500 - I.J.T.T1000000 - 1000 - R.T.T10000000 - 2000 - I.J.T.T1000000 - 2000 - S.5.B.TPreset 10 - Bosphorus 4K10000000 - 100 - S.5.B.T1000000 - 1000 - S.5.B.T20000000 - 1000 - Group By Test Time6.2%1000000 - 500 - B.I.J.T.T6.2%10000000 - 100 - B.I.J.T.T20000000 - 500 - S.5.B.T1000000 - 100 - Group By Test TimePreset 8 - Bosphorus 4K10000000 - 100 - Group By Test Time20000000 - 500 - I.J.T.T1000000 - 2000 - B.I.J.T.T1000000 - 500 - S.5.B.T10000000 - 500 - I.J.T.T20000000 - 2000 - B.I.J.T.T4.2%40000000 - 1000 - S.5.B.T3.9%10000000 - 1000 - I.J.T.T3.9%40000000 - 100 - I.J.T.T3.8%20000000 - 500 - R.T.T20000000 - 100 - R.T.T3.6%Preset 12 - Bosphorus 1080p1000000 - 1000 - Group By Test Time3.5%10000000 - 500 - Group By Test Time40000000 - 100 - B.I.J.T.T3.1%40000000 - 2000 - I.J.T.T10000000 - 2000 - S.5.B.T10000000 - 1000 - B.I.J.T.T40000000 - 100 - S.5.B.T10000000 - 1000 - R.T.T1000000 - 500 - Group By Test Time2.6%20000000 - 2000 - Group By Test Time2.5%10000000 - 1000 - Group By Test Time20000000 - 100 - S.5.B.TPreset 10 - Bosphorus 1080pRhodopsin Protein40000000 - 2000 - B.I.J.T.T10000000 - 2000 - R.T.T20000000 - 2000 - R.T.T2.1%10000000 - 500 - R.T.T10000000 - 100 - R.T.T40000000 - 100 - Group By Test TimeApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1LAMMPS Molecular Dynamics SimulatorApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkAB

new epspark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - Group By Test Timespark: 40000000 - 1000 - Group By Test Timespark: 40000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 40000000 - 500 - Repartition Test Timesvt-av1: Preset 12 - Bosphorus 4Kspark: 1000000 - 2000 - Inner Join Test Timespark: 10000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 1000 - Repartition Test Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 40000000 - 2000 - Repartition Test Timespark: 40000000 - 500 - Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timesvt-av1: Preset 10 - Bosphorus 4Kspark: 10000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - Group By Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 100 - Group By Test Timesvt-av1: Preset 8 - Bosphorus 4Kspark: 10000000 - 100 - Group By Test Timespark: 20000000 - 500 - Inner Join Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 500 - Inner Join Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Inner Join Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 20000000 - 500 - Repartition Test Timespark: 20000000 - 100 - Repartition Test Timesvt-av1: Preset 12 - Bosphorus 1080pspark: 1000000 - 1000 - Group By Test Timespark: 10000000 - 500 - Group By Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Repartition Test Timespark: 1000000 - 500 - Group By Test Timespark: 20000000 - 2000 - Group By Test Timespark: 10000000 - 1000 - Group By Test Timespark: 20000000 - 100 - SHA-512 Benchmark Timesvt-av1: Preset 10 - Bosphorus 1080plammps: Rhodopsin Proteinspark: 40000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 20000000 - 2000 - Repartition Test Timespark: 10000000 - 500 - Repartition Test Timespark: 10000000 - 100 - Repartition Test Timespark: 40000000 - 100 - Group By Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - Inner Join Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Inner Join Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - SHA-512 Benchmark Timesvt-av1: Preset 8 - Bosphorus 1080pspark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Group By Test Timespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Group By Test Timespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframelammps: 20k Atomsspark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 100 - Repartition Test Timespark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Group By Test Timespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Broadcast Inner Join Test Timesvt-av1: Preset 4 - Bosphorus 1080pspark: 40000000 - 500 - Group By Test Timespark: 20000000 - 1000 - Repartition Test Timespark: 20000000 - 2000 - Inner Join Test Timeprimesieve: 1e13spark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframeastcenc: Fastspark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Calculate Pi Benchmarkprimesieve: 1e12spark: 10000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 100 - Calculate Pi Benchmarkaircrack-ng: svt-av1: Preset 4 - Bosphorus 4Kspark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmarkastcenc: Exhaustivenode-web-tooling: spark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 500 - Broadcast Inner Join Test Timeastcenc: Mediumspark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 500 - Calculate Pi Benchmarkastcenc: ThoroughAB2.342.202.8925.97071372526.93954440414.99619468813.5466363412.2431.12445747133.21611216658.85630594213.3153196586.122.31401065240.414903771.0753.6917.68481504940.1004683924.082.212.7737.24954122649.6231299492.4114.3000958544.9350.91917.8286781094.49206168512.661.9515.17385121529.834.8726.5199.83302515924.797350742.474.29728771912.79595543822.6753.65977514412.7245.28192411220.46517964821.320366883236.8965.449.5748.93802777646.08239147216.8512.1755.49694525810.655.0812.9760533449.39376253132.50155.0096.2146.65033033910.64728148919.1991962610.67193246411.20882181434.8413785242.1228.41556872524.5847.9847.64435321311.3928.75955970673.239185.57487409411.4513.85143818611.596259096192.3180934359.4111.54899406711.5888285596.40911.56812910811.36776067811.37220084453.456292297191.48741643440.60187.36457819251.87438539414.4311.382844748190.28545182124.954.28930.28473562319.56862779223.879705608268.884187.89217428411.499868446114.5311.4611.41077967311.478861584186.93522190221.334188.819108164187.439773683189.05535778316.47186.644599348188.99023452728957.9961.45711.42188.3399262540.5038.78188.6352614124.26126342638.307811.48634066911.453251657191.628376235189.3256488964.60141.821.822.4230.5731.30035926113.1811.962.0128.13523430836.6653.6999701212.155.602.1237.0977.3843.3916.2636.923.762.042.5740.1246.102.2413.334.6054.45416.704.2113.452.0714.3528.2387797794.6227.8699.3623.6604692542.364.1112.2723.6355.73738160113.2146.98034975819.74168536722.098401525245.4335.639.2550.44947352344.7116.3511.8454.0710.385.2113.3037871099.1731.74158.5796.34745.6510.4219.6010.4610.99014292134.172.0827.8825.0547.0946.8111.59002938729.23260424974.347188.30713127211.61836738714.04516000511.44189.74126769.5311.40838907311.456.48111.44596953611.48418399411.48216787152.982574422189.91108238440.27188.78504332651.51409926214.5311.460916257188.99398973625.114.31630.1019.4524.018967172270.327186.89028848111.559230601115.096811.5111.4611.43187.71567579921.423188.041543346186.710805845188.35223216.41187.21356049188.41975644328871.5921.45311.391436234188.7972480180.50188.76189.04459915824.30554758538.332711.48154859411.45191.584324668189.3435609474.6013OpenBenchmarking.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 - Repartition Test TimeBA0.52651.0531.57952.1062.63251.822.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA0.4950.991.4851.982.4751.822.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeBA0.65031.30061.95092.60123.25152.422.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB71421283525.9730.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeAB71421283526.9431.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeBA4812162013.1815.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA369121511.9613.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA0.5041.0081.5122.0162.522.012.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeBA71421283528.1431.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeAB81624324033.2236.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeBA132639526553.7058.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA369121512.1513.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeBA2468105.606.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeBA0.52071.04141.56212.08282.60352.1200000002.314010652

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeBA91827364537.0940.41

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KBA2040608010077.3871.081. (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: 2000 - Inner Join Test TimeBA0.83031.66062.49093.32124.15153.393.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeBA4812162016.2617.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeBA91827364536.9240.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeBA0.9181.8362.7543.6724.593.764.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeBA0.49730.99461.49191.98922.48652.042.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeBA0.62331.24661.86992.49323.11652.572.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeAB91827364537.2540.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeBA112233445546.1049.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeBA0.54231.08461.62692.16922.71152.242.41

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeBA4812162013.3314.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA1.10932.21863.32794.43725.54654.604.93

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KBA122436486054.4550.921. (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: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeBA4812162016.7017.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeBA1.01072.02143.03214.04285.05354.2100000004.492061685

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeAB369121512.6613.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB0.46580.93161.39741.86322.3291.952.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeBA4812162014.3515.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeBA71421283528.2429.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeBA1.09582.19163.28744.38325.4794.624.87

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KBA71421283527.8726.521. (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: 100 - Group By Test TimeBA36912159.3600000009.833025159

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeBA61218243023.6624.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA0.55581.11161.66742.22322.7792.362.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeBA0.96691.93382.90073.86764.83454.1100000004.297287719

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeBA369121512.2712.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeAB61218243022.6723.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB132639526553.6655.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeAB369121512.7213.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeAB112233445545.2846.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeBA51015202519.7420.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeAB51015202521.3222.10

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pBA50100150200250245.43236.901. (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: 1000 - Group By Test TimeAB1.26682.53363.80045.06726.3345.445.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeBA36912159.259.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeAB112233445548.9450.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeBA102030405044.7146.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA4812162016.3516.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA369121511.8412.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeBA122436486054.0755.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeBA369121510.3810.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeAB1.17232.34463.51694.68925.86155.085.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeAB369121512.9813.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeBA36912159.1700000009.393762531

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeBA81624324031.7432.50

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pBA4080120160200158.58155.011. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 ProteinBA2468106.3476.2101. (CXX) g++ options: -O3 -pthread -lm -ldl

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeBA112233445545.6546.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeBA369121510.4210.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeAB51015202519.2019.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeBA369121510.4610.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeBA369121510.9911.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeBA81624324034.1734.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeBA0.4770.9541.4311.9082.3852.082.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA71421283527.8828.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeAB61218243024.5825.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeBA112233445547.0947.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeBA112233445546.8147.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeAB369121511.3911.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeAB71421283528.7629.23

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pBA2040608010074.3573.241. (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: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkAB4080120160200185.57188.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB369121511.4511.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeAB4812162013.8514.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA369121511.4411.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkBA4080120160200189.74192.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeAB36912159.419.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeBA369121511.4111.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeBA369121511.4511.59

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 AtomsBA2468106.4816.4091. (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: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA369121511.4511.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB369121511.3711.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB369121511.3711.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeBA122436486052.9853.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkBA4080120160200189.91191.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeBA91827364540.2740.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkAB4080120160200187.36188.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeBA122436486051.5151.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeAB4812162014.4314.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeAB369121511.3811.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkBA4080120160200188.99190.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeAB61218243024.9525.11

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pBA0.97111.94222.91333.88444.85554.3164.2891. (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 - Group By Test TimeBA71421283530.1030.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeBA51015202519.4519.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeAB61218243023.8824.02

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: 1e13AB60120180240300268.88270.331. (CXX) g++ options: -O3 -lpthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkBA4080120160200186.89187.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeAB369121511.5011.56

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: FastBA306090120150115.10114.531. (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: 100 - Calculate Pi Benchmark Using DataframeAB369121511.4611.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeAB369121511.4111.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA369121511.4311.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkAB4080120160200186.94187.72

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: 1e12AB51015202521.3321.421. (CXX) g++ options: -O3 -lpthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkBA4080120160200188.04188.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkBA4080120160200186.71187.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkBA4080120160200188.35189.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeBA4812162016.4116.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkAB4080120160200186.64187.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkBA4080120160200188.42188.99

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 1.7AB6K12K18K24K30K28958.0028871.591. (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

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KAB0.32780.65560.98341.31121.6391.4571.4531. (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 - Calculate Pi Benchmark Using DataframeBA369121511.3911.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkAB4080120160200188.34188.80

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveAB0.11320.22640.33960.45280.5660.50300.50181. (CXX) g++ options: -O3 -flto -pthread

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 BenchmarkAB2468108.788.76

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 BenchmarkAB4080120160200188.64189.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeAB61218243024.2624.31

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumBA91827364538.3338.311. (CXX) g++ options: -O3 -flto -pthread

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeBA369121511.4811.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeBA369121511.4511.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkBA4080120160200191.58191.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkAB4080120160200189.33189.34

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: ThoroughAB1.03532.07063.10594.14125.17654.60144.60131. (CXX) g++ options: -O3 -flto -pthread

130 Results Shown

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