rok1

Rockchip ARMv8 Cortex-A76 testing with a Turing Machines RK1 and rockchipdrmfb on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2405142-NE-ROK12186375
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Audio Encoding 6 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 18 Tests
C/C++ Compiler Tests 12 Tests
CPU Massive 11 Tests
Creator Workloads 7 Tests
Database Test Suite 6 Tests
Encoding 6 Tests
Java Tests 3 Tests
Multi-Core 22 Tests
Programmer / Developer System Benchmarks 18 Tests
Python Tests 9 Tests
Server 8 Tests
Server CPU Tests 7 Tests
Single-Threaded 2 Tests

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  Duration
rk1-rok-emmc
February 25
  5 Days, 12 Hours, 20 Minutes
rk1-rok-nvme
March 11
 
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rok1OpenBenchmarking.orgPhoronix Test Suiterk1-rok-emmc @ 1.80GHz (4 Cores / 8 Threads)Rockchip ARMv8 Cortex-A76 @ 1.80GHz (4 Cores / 8 Threads)Turing Machines RK132GB500GB CT500P3SSD8 + 31GB BJTD4RrockchipdrmfbUbuntu 22.045.10.160-rockchip (aarch64)GCC 11.4.0ext41920x1080ProcessorsMotherboardMemoryDiskGraphicsOSKernelCompilerFile-SystemScreen ResolutionRok1 BenchmarksSystem Logs- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Scaling Governor: cpufreq-dt performance- Python 3.10.12- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable: Unprivileged eBPF enabled + srbds: Not affected + tsx_async_abort: Not affected

rk1-rok-emmc vs. rk1-rok-nvme ComparisonPhoronix Test SuiteBaseline+31.5%+31.5%+63%+63%+94.5%+94.5%125.8%123.9%121.4%120.9%119.4%116.7%116.4%116.2%116.1%112.7%98.2%92.8%69.7%65.2%63.6%62.8%58.7%58.1%56.1%51.1%41.7%40.1%37.9%36.7%18.6%11.4%10.5%9.1%9.1%8.3%7.6%7.1%7.1%6.8%6.5%6.4%6.2%5.5%5.5%5.4%4.7%4.5%4.4%4.3%4.1%3.7%3.6%3.4%3.4%3.3%3.2%3%2.3%2.1%2.1%RANGE - 100 - 100 - Average LatencyRANGE - 100 - 100RANGE - 50 - 100 - Average LatencyRANGE - 50 - 100RANGE - 500 - 100 - Average LatencyRANGE - 500 - 100PUT - 500 - 100 - Average LatencyPUT - 100 - 100PUT - 100 - 100 - Average LatencyPUT - 500 - 100PUT - 50 - 100 - Average LatencyPUT - 50 - 100RANGE - 50 - 1000 - Average LatencyRANGE - 50 - 1000RANGE - 100 - 1000 - Average LatencyPUT - 50 - 1000 - Average LatencyRANGE - 100 - 1000PUT - 50 - 1000PUT - 100 - 1000 - Average LatencyPUT - 100 - 1000Fill Sync50%RANGE - 500 - 1000 - Average LatencyPUT - 500 - 1000 - Average LatencyRANGE - 500 - 1000PUT - 500 - 1000WAV To FLACFill Sync18.4%Total Time12.4%10000000 - 100 - Group By Test Time1000000 - 1000 - I.J.T.TTime To Compile9.5%120000000 - 500 - Group By Test Time1000000 - 100 - I.J.T.T10000000 - 2000 - I.J.T.T1000000 - 500 - I.J.T.T10000000 - 1000 - R.T.T10000000 - 500 - R.T.T20000000 - 1000 - R.T.T10000000 - 500 - Group By Test Time1000000 - 500 - B.I.J.T.T6.4%20000000 - 100 - R.T.T1000000 - 500 - S.5.B.T6%Time To CompileOverwrite10000000 - 500 - I.J.T.TTime To Compile5.4%Overwrite20000000 - 500 - R.T.T10000000 - 1000 - I.J.T.T10000000 - 1000 - B.I.J.T.T10000000 - 100 - R.T.T1000000 - 100 - Group By Test Time3.9%1000000 - 2000 - Group By Test Time3.7%10000000 - 2000 - R.T.TRand FillSeq Fill300 - 3000 - 301000000 - 1000 - S.5.B.T3.3%20000000 - 1000 - Group By Test Time96000 - 1024100 - 1000 - 30300 - 1000 - 302.8%500 - 3000 - 302.8%1000000 - 2000 - R.T.T2.6%R.B.P.L.O2.5%1000000 - 100 - S.5.B.T2.4%1000000 - 500 - R.T.T2.3%Rand Delete1000000 - 1000 - Group By Test Time2.3%1000000 - 1000 - B.I.J.T.T2.2%1000000 - 1000 - R.T.T2.2%10000000 - 500 - B.I.J.T.TRand Fill10000000 - 500 - S.5.B.T2%1000000 - 2000 - S.5.B.T2%etcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdetcdLevelDBetcdetcdetcdetcdFLAC Audio EncodingLevelDBStockfishApache SparkApache SparkTimed Erlang/OTP CompilationSQLiteApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkTimed Wasmer CompilationLevelDBApache SparkTimed Eigen CompilationLevelDBApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkLevelDBLevelDBApache CouchDBApache SparkApache SparkStargate Digital Audio WorkstationApache CouchDBApache CouchDBApache CouchDBApache SparkTimed CPython CompilationApache SparkApache SparkLevelDBApache SparkApache SparkApache SparkApache SparkLevelDBApache SparkApache Sparkrk1-rok-emmcrk1-rok-nvme

rok1etcd: RANGE - 100 - 100 - Average Latencyetcd: RANGE - 100 - 100etcd: RANGE - 500 - 100 - Average Latencyetcd: PUT - 500 - 100 - Average Latencyetcd: PUT - 100 - 100etcd: PUT - 100 - 100 - Average Latencyetcd: PUT - 500 - 1000 - Average Latencyetcd: RANGE - 500 - 1000etcd: PUT - 500 - 1000encode-flac: WAV To FLACbuild-erlang: Time To Compilesqlite: 1spark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - Repartition Test Timespark: 10000000 - 500 - Repartition Test Timespark: 20000000 - 1000 - Repartition Test Timespark: 20000000 - 100 - Repartition Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timebuild-wasmer: Time To Compileleveldb: Overwritespark: 10000000 - 500 - Inner Join Test Timebuild-eigen: Time To Compileleveldb: Overwritespark: 20000000 - 500 - Repartition Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 2000 - Group By Test Timespark: 10000000 - 2000 - Repartition Test Timeleveldb: Rand Fillleveldb: Seq Fillspark: 1000000 - 1000 - SHA-512 Benchmark Timestargate: 96000 - 1024couchdb: 100 - 1000 - 30couchdb: 300 - 1000 - 30couchdb: 500 - 3000 - 30spark: 1000000 - 2000 - Repartition Test Timebuild-python: Released Build, PGO + LTO Optimizedspark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 500 - Repartition Test Timeleveldb: Rand Deletespark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 10000000 - 500 - Broadcast Inner Join Test Timeleveldb: Rand Fillspark: 10000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 500 - Group By Test Timestargate: 480000 - 512couchdb: 100 - 3000 - 30leveldb: Seq Fillspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframebuild-python: Defaultspark: 20000000 - 100 - Inner Join Test Timeencode-opus: WAV To Opus Encodespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Repartition Test Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timebuild-ffmpeg: Time To Compileasmfish: 1024 Hash Memory, 26 Depthspark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - Inner Join Test Timebuild-imagemagick: Time To Compilespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframebuild-php: Time To Compilebuild-apache: Time To Compilespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timebuild-mplayer: Time To Compilespark: 10000000 - 1000 - Group By Test Timestargate: 192000 - 1024spark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 20000000 - 100 - SHA-512 Benchmark Timestargate: 44100 - 512spark: 20000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 100 - Group By Test Timespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframeencode-ape: WAV To APEspark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Calculate Pi Benchmarkbuild-linux-kernel: defconfigencode-mp3: WAV To MP3spark: 20000000 - 500 - Inner Join Test Timecouchdb: 500 - 1000 - 30spark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timebuild-godot: Time To Compilespark: 20000000 - 100 - Calculate Pi Benchmarkbuild-llvm: Unix Makefilesspark: 10000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 100 - SHA-512 Benchmark Timebuild-llvm: Ninjaspark: 20000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 500 - Calculate Pi Benchmarkstargate: 192000 - 512spark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmarkbuild-nodejs: Time To Compilestargate: 96000 - 512spark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - SHA-512 Benchmark Timetscp: AI Chess Performancestargate: 480000 - 1024spark: 10000000 - 2000 - Group By Test Timebuild2: Time To Compileleveldb: Rand Readn-queens: Elapsed Timebuild-gem5: Time To Compilebuild-linux-kernel: allmodconfigspark: 1000000 - 100 - Calculate Pi Benchmarkleveldb: Hot Readm-queens: Time To Solvespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframestargate: 44100 - 1024leveldb: Seek Randspark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmarkspark-tpcds: 500 - Q92spark-tpcds: 500 - Q90spark-tpcds: 500 - Q89spark-tpcds: 500 - Q88spark-tpcds: 500 - Q87spark-tpcds: 500 - Q86spark-tpcds: 500 - Q85spark-tpcds: 500 - Q84spark-tpcds: 500 - Q82spark-tpcds: 500 - Q79spark-tpcds: 500 - Q76spark-tpcds: 500 - Q73spark-tpcds: 500 - Q71spark-tpcds: 500 - Q69spark-tpcds: 500 - Q68spark-tpcds: 500 - Q66spark-tpcds: 500 - Q63spark-tpcds: 500 - Q62spark-tpcds: 500 - Q61spark-tpcds: 500 - Q60spark-tpcds: 500 - Q59spark-tpcds: 500 - Q57spark-tpcds: 500 - Q56spark-tpcds: 500 - Q55spark-tpcds: 500 - Q54spark-tpcds: 500 - Q53spark-tpcds: 500 - Q52spark-tpcds: 500 - Q48spark-tpcds: 500 - Q47spark-tpcds: 500 - Q46spark-tpcds: 500 - Q45spark-tpcds: 500 - Q44spark-tpcds: 500 - Q43spark-tpcds: 500 - Q42spark-tpcds: 500 - Q41spark-tpcds: 500 - Q39spark-tpcds: 500 - Q38spark-tpcds: 500 - Q37spark-tpcds: 500 - Q36spark-tpcds: 500 - Q35spark-tpcds: 500 - Q34spark-tpcds: 500 - Q33spark-tpcds: 500 - Q32spark-tpcds: 500 - Q31spark-tpcds: 500 - Q30spark-tpcds: 500 - Q28spark-tpcds: 500 - Q27spark-tpcds: 500 - Q26spark-tpcds: 500 - Q25spark-tpcds: 500 - Q22spark-tpcds: 500 - Q21spark-tpcds: 500 - Q20spark-tpcds: 500 - Q19spark-tpcds: 500 - Q18spark-tpcds: 500 - Q17spark-tpcds: 500 - Q15spark-tpcds: 500 - Q14spark-tpcds: 500 - Q13spark-tpcds: 500 - Q12spark-tpcds: 500 - Q10spark-tpcds: 500 - Q09spark-tpcds: 500 - Q08spark-tpcds: 500 - Q07spark-tpcds: 500 - Q06spark-tpcds: 500 - Q03spark-tpcds: 500 - Q02spark-tpcds: 100 - Q99spark-tpcds: 100 - Q98spark-tpcds: 100 - Q97spark-tpcds: 100 - Q96spark-tpcds: 100 - Q95spark-tpcds: 100 - Q94spark-tpcds: 100 - Q93spark-tpcds: 100 - Q92spark-tpcds: 100 - Q91spark-tpcds: 100 - Q89spark-tpcds: 100 - Q88spark-tpcds: 100 - Q87spark-tpcds: 100 - Q86spark-tpcds: 100 - Q85spark-tpcds: 100 - Q84spark-tpcds: 100 - Q83spark-tpcds: 100 - Q82spark-tpcds: 100 - Q81spark-tpcds: 100 - Q80spark-tpcds: 100 - Q79spark-tpcds: 100 - Q78spark-tpcds: 100 - Q77spark-tpcds: 100 - Q76spark-tpcds: 100 - Q75spark-tpcds: 100 - Q74spark-tpcds: 100 - Q73spark-tpcds: 100 - Q72spark-tpcds: 100 - Q71spark-tpcds: 100 - Q70spark-tpcds: 100 - Q69spark-tpcds: 100 - Q68spark-tpcds: 100 - Q67spark-tpcds: 100 - Q66spark-tpcds: 100 - Q65spark-tpcds: 100 - Q64spark-tpcds: 100 - Q63spark-tpcds: 100 - Q62spark-tpcds: 100 - Q61spark-tpcds: 100 - Q60spark-tpcds: 100 - Q59spark-tpcds: 100 - Q58spark-tpcds: 100 - Q57spark-tpcds: 100 - Q56spark-tpcds: 100 - Q55spark-tpcds: 100 - Q54spark-tpcds: 100 - Q53spark-tpcds: 100 - Q52spark-tpcds: 100 - Q51spark-tpcds: 100 - Q50spark-tpcds: 100 - Q49spark-tpcds: 100 - Q48spark-tpcds: 100 - Q47spark-tpcds: 100 - Q46spark-tpcds: 100 - Q45spark-tpcds: 100 - Q44spark-tpcds: 100 - Q43spark-tpcds: 100 - Q42spark-tpcds: 100 - Q41spark-tpcds: 100 - Q40spark-tpcds: 100 - Q38spark-tpcds: 100 - Q37spark-tpcds: 100 - Q36spark-tpcds: 100 - Q35spark-tpcds: 100 - Q34spark-tpcds: 100 - Q33spark-tpcds: 100 - Q32spark-tpcds: 100 - Q31spark-tpcds: 100 - Q30spark-tpcds: 100 - Q29spark-tpcds: 100 - Q28spark-tpcds: 100 - Q27spark-tpcds: 100 - Q26spark-tpcds: 100 - Q25spark-tpcds: 100 - Q24spark-tpcds: 100 - Q23spark-tpcds: 100 - Q22spark-tpcds: 100 - Q21spark-tpcds: 100 - Q20spark-tpcds: 100 - Q19spark-tpcds: 100 - Q18spark-tpcds: 100 - Q17spark-tpcds: 100 - Q15spark-tpcds: 100 - Q14spark-tpcds: 100 - Q13spark-tpcds: 100 - Q12spark-tpcds: 100 - Q11spark-tpcds: 100 - Q10spark-tpcds: 100 - Q09spark-tpcds: 100 - Q08spark-tpcds: 100 - Q07spark-tpcds: 100 - Q06spark-tpcds: 100 - Q05spark-tpcds: 100 - Q04spark-tpcds: 100 - Q03spark-tpcds: 100 - Q02spark-tpcds: 100 - Q01spark-tpcds: 50 - Q99spark-tpcds: 50 - Q98spark-tpcds: 50 - Q97spark-tpcds: 50 - Q96spark-tpcds: 50 - Q95spark-tpcds: 50 - Q94spark-tpcds: 50 - Q93spark-tpcds: 50 - Q92spark-tpcds: 50 - Q91spark-tpcds: 50 - Q89spark-tpcds: 50 - Q88spark-tpcds: 50 - Q87spark-tpcds: 50 - Q86spark-tpcds: 50 - Q85spark-tpcds: 50 - Q84spark-tpcds: 50 - Q83spark-tpcds: 50 - Q82spark-tpcds: 50 - Q81spark-tpcds: 50 - Q80spark-tpcds: 50 - Q79spark-tpcds: 50 - Q78spark-tpcds: 50 - Q77spark-tpcds: 50 - Q76spark-tpcds: 50 - Q75spark-tpcds: 50 - Q74spark-tpcds: 50 - Q73spark-tpcds: 50 - Q72spark-tpcds: 50 - Q71spark-tpcds: 50 - Q70spark-tpcds: 50 - Q69spark-tpcds: 50 - Q68spark-tpcds: 50 - Q67spark-tpcds: 50 - Q66spark-tpcds: 50 - Q65spark-tpcds: 50 - Q64spark-tpcds: 50 - Q63spark-tpcds: 50 - Q62spark-tpcds: 50 - Q61spark-tpcds: 50 - Q60spark-tpcds: 50 - Q59spark-tpcds: 50 - Q58spark-tpcds: 50 - Q57spark-tpcds: 50 - Q56spark-tpcds: 50 - Q55spark-tpcds: 50 - Q54spark-tpcds: 50 - Q53spark-tpcds: 50 - Q52spark-tpcds: 50 - Q51spark-tpcds: 50 - Q50spark-tpcds: 50 - Q49spark-tpcds: 50 - Q48spark-tpcds: 50 - Q47spark-tpcds: 50 - Q46spark-tpcds: 50 - Q45spark-tpcds: 50 - Q44spark-tpcds: 50 - Q43spark-tpcds: 50 - Q42spark-tpcds: 50 - Q41spark-tpcds: 50 - Q40spark-tpcds: 50 - Q39spark-tpcds: 50 - Q38spark-tpcds: 50 - Q37spark-tpcds: 50 - Q36spark-tpcds: 50 - Q35spark-tpcds: 50 - Q34spark-tpcds: 50 - Q33spark-tpcds: 50 - Q32spark-tpcds: 50 - Q31spark-tpcds: 50 - Q30spark-tpcds: 50 - Q29spark-tpcds: 50 - Q28spark-tpcds: 50 - Q27spark-tpcds: 50 - Q26spark-tpcds: 50 - Q25spark-tpcds: 50 - Q24spark-tpcds: 50 - Q23spark-tpcds: 50 - Q22spark-tpcds: 50 - Q21spark-tpcds: 50 - Q20spark-tpcds: 50 - Q19spark-tpcds: 50 - Q18spark-tpcds: 50 - Q17spark-tpcds: 50 - Q15spark-tpcds: 50 - Q14spark-tpcds: 50 - Q13spark-tpcds: 50 - Q12spark-tpcds: 50 - Q11spark-tpcds: 50 - Q10spark-tpcds: 50 - Q09spark-tpcds: 50 - Q08spark-tpcds: 50 - Q07spark-tpcds: 50 - Q06spark-tpcds: 50 - Q05spark-tpcds: 50 - Q04spark-tpcds: 50 - Q03spark-tpcds: 50 - Q02spark-tpcds: 50 - Q01spark-tpcds: 10 - Q59spark-tpcds: 10 - Q51spark-tpcds: 10 - Q99spark-tpcds: 10 - Q98spark-tpcds: 10 - Q97spark-tpcds: 10 - Q96spark-tpcds: 10 - Q95spark-tpcds: 10 - Q94spark-tpcds: 10 - Q93spark-tpcds: 10 - Q92spark-tpcds: 10 - Q91spark-tpcds: 10 - Q90spark-tpcds: 10 - Q89spark-tpcds: 10 - Q88spark-tpcds: 10 - Q87spark-tpcds: 10 - Q86spark-tpcds: 10 - Q85spark-tpcds: 10 - Q84spark-tpcds: 10 - Q83spark-tpcds: 10 - Q82spark-tpcds: 10 - Q81spark-tpcds: 10 - Q80spark-tpcds: 10 - Q79spark-tpcds: 10 - Q78spark-tpcds: 10 - Q77spark-tpcds: 10 - Q76spark-tpcds: 10 - Q75spark-tpcds: 10 - Q74spark-tpcds: 10 - Q73spark-tpcds: 10 - Q72spark-tpcds: 10 - Q71spark-tpcds: 10 - Q70spark-tpcds: 10 - Q69spark-tpcds: 10 - Q68spark-tpcds: 10 - Q67spark-tpcds: 10 - Q66spark-tpcds: 10 - Q65spark-tpcds: 10 - Q64spark-tpcds: 10 - Q63spark-tpcds: 10 - Q62spark-tpcds: 10 - Q61spark-tpcds: 10 - Q58spark-tpcds: 10 - Q57spark-tpcds: 10 - Q56spark-tpcds: 10 - Q55spark-tpcds: 10 - Q54spark-tpcds: 10 - Q53spark-tpcds: 10 - Q52spark-tpcds: 10 - Q50spark-tpcds: 10 - Q49spark-tpcds: 10 - Q48spark-tpcds: 10 - Q47spark-tpcds: 10 - Q46spark-tpcds: 10 - Q45spark-tpcds: 10 - Q44spark-tpcds: 10 - Q43spark-tpcds: 10 - Q42spark-tpcds: 10 - Q41spark-tpcds: 10 - Q40spark-tpcds: 10 - Q39spark-tpcds: 10 - Q38spark-tpcds: 10 - Q37spark-tpcds: 10 - Q33spark-tpcds: 10 - Q32spark-tpcds: 10 - Q31spark-tpcds: 10 - Q30spark-tpcds: 10 - Q29spark-tpcds: 10 - Q28spark-tpcds: 10 - Q27spark-tpcds: 10 - Q26spark-tpcds: 10 - Q25spark-tpcds: 10 - Q23spark-tpcds: 10 - Q22spark-tpcds: 10 - Q21spark-tpcds: 10 - Q20spark-tpcds: 10 - Q19spark-tpcds: 10 - Q18spark-tpcds: 10 - Q17spark-tpcds: 10 - Q15spark-tpcds: 10 - Q14spark-tpcds: 10 - Q13spark-tpcds: 10 - Q12spark-tpcds: 10 - Q11spark-tpcds: 10 - Q10spark-tpcds: 10 - Q09spark-tpcds: 10 - Q08spark-tpcds: 10 - Q07spark-tpcds: 10 - Q06spark-tpcds: 10 - Q05spark-tpcds: 10 - Q04spark-tpcds: 10 - Q03spark-tpcds: 10 - Q02spark-tpcds: 10 - Q01spark-tpcds: 1 - Q85spark-tpcds: 1 - Q58spark-tpcds: 1 - Q34spark-tpcds: 1 - Q28spark-tpcds: 1 - Q99spark-tpcds: 1 - Q98spark-tpcds: 1 - Q97spark-tpcds: 1 - Q96spark-tpcds: 1 - Q95spark-tpcds: 1 - Q94spark-tpcds: 1 - Q93spark-tpcds: 1 - Q92spark-tpcds: 1 - Q91spark-tpcds: 1 - Q90spark-tpcds: 1 - Q89spark-tpcds: 1 - Q88spark-tpcds: 1 - Q87spark-tpcds: 1 - Q86spark-tpcds: 1 - Q84spark-tpcds: 1 - Q83spark-tpcds: 1 - Q82spark-tpcds: 1 - Q81spark-tpcds: 1 - Q80spark-tpcds: 1 - Q79spark-tpcds: 1 - Q78spark-tpcds: 1 - Q77spark-tpcds: 1 - Q76spark-tpcds: 1 - Q75spark-tpcds: 1 - Q74spark-tpcds: 1 - Q73spark-tpcds: 1 - Q72spark-tpcds: 1 - Q71spark-tpcds: 1 - Q70spark-tpcds: 1 - Q69spark-tpcds: 1 - Q68spark-tpcds: 1 - Q67spark-tpcds: 1 - Q66spark-tpcds: 1 - Q65spark-tpcds: 1 - Q64spark-tpcds: 1 - Q63spark-tpcds: 1 - Q62spark-tpcds: 1 - Q61spark-tpcds: 1 - Q60spark-tpcds: 1 - Q59spark-tpcds: 1 - Q57spark-tpcds: 1 - Q56spark-tpcds: 1 - Q55spark-tpcds: 1 - Q54spark-tpcds: 1 - Q53spark-tpcds: 1 - Q52spark-tpcds: 1 - Q51spark-tpcds: 1 - Q50spark-tpcds: 1 - Q49spark-tpcds: 1 - Q48spark-tpcds: 1 - Q47spark-tpcds: 1 - Q46spark-tpcds: 1 - Q45spark-tpcds: 1 - Q44spark-tpcds: 1 - Q43spark-tpcds: 1 - Q42spark-tpcds: 1 - Q41spark-tpcds: 1 - Q40spark-tpcds: 1 - Q38spark-tpcds: 1 - Q37spark-tpcds: 1 - Q36spark-tpcds: 1 - Q35spark-tpcds: 1 - Q33spark-tpcds: 1 - Q32spark-tpcds: 1 - Q31spark-tpcds: 1 - Q30spark-tpcds: 1 - Q29spark-tpcds: 1 - Q27spark-tpcds: 1 - Q26spark-tpcds: 1 - Q25spark-tpcds: 1 - Q24spark-tpcds: 1 - Q23spark-tpcds: 1 - Q22spark-tpcds: 1 - Q21spark-tpcds: 1 - Q20spark-tpcds: 1 - Q19spark-tpcds: 1 - Q18spark-tpcds: 1 - Q17spark-tpcds: 1 - Q16spark-tpcds: 1 - Q15spark-tpcds: 1 - Q14spark-tpcds: 1 - Q13spark-tpcds: 1 - Q12spark-tpcds: 1 - Q11spark-tpcds: 1 - Q10spark-tpcds: 1 - Q09spark-tpcds: 1 - Q08spark-tpcds: 1 - Q07spark-tpcds: 1 - Q06spark-tpcds: 1 - Q05spark-tpcds: 1 - Q04spark-tpcds: 1 - Q03spark-tpcds: 1 - Q02spark-tpcds: 1 - Q01spark: 40000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 2000 - Inner Join Test Timespark: 40000000 - 2000 - Repartition Test Timespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Inner Join Test Timespark: 40000000 - 1000 - Repartition Test Timespark: 40000000 - 1000 - Group By Test Timespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - Inner Join Test Timespark: 20000000 - 2000 - Repartition Test Timespark: 20000000 - 2000 - Group By Test Timespark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Inner Join Test Timespark: 40000000 - 500 - Repartition Test Timespark: 40000000 - 500 - Group By Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 100 - Inner Join Test Timespark: 40000000 - 100 - Repartition Test Timeclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachebuild-gdb: Time To Compilebuild-gcc: Time To Compileencode-wavpack: WAV To WavPackspark-tpch: 1 - Geometric Mean Of All Querieslczero: BLASspark-tpcds: 500 - Q70spark-tpcds: 500 - Q58spark-tpcds: 100 - Q90spark-tpcds: 100 - Q39spark-tpcds: 50 - Q90spark-tpcds: 10 - Q60spark-tpcds: 10 - Q36spark-tpcds: 10 - Q35spark-tpcds: 10 - Q34spark-tpcds: 10 - Q24spark-tpcds: 1 - Q39spark: 40000000 - 2000 - Group By Test Timespark: 40000000 - 100 - Group By Test Timespark-tpch: 1 - Q22spark-tpch: 1 - Q21spark-tpch: 1 - Q20spark-tpch: 1 - Q19spark-tpch: 1 - Q18spark-tpch: 1 - Q17spark-tpch: 1 - Q16spark-tpch: 1 - Q15spark-tpch: 1 - Q14spark-tpch: 1 - Q13spark-tpch: 1 - Q12spark-tpch: 1 - Q11spark-tpch: 1 - Q10spark-tpch: 1 - Q09spark-tpch: 1 - Q08spark-tpch: 1 - Q07spark-tpch: 1 - Q06spark-tpch: 1 - Q05spark-tpch: 1 - Q04spark-tpch: 1 - Q03spark-tpch: 1 - Q02spark-tpch: 1 - Q01spark: 20000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Group By Test Timespark: 10000000 - 500 - Group By Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Group By Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 100 - Inner Join Test Timecouchdb: 300 - 3000 - 30etcd: RANGE - 500 - 1000 - Average Latencyetcd: RANGE - 100 - 1000 - Average Latencyetcd: RANGE - 100 - 1000etcd: RANGE - 500 - 100etcd: RANGE - 50 - 1000 - Average Latencyetcd: RANGE - 50 - 1000etcd: RANGE - 50 - 100 - Average Latencyetcd: RANGE - 50 - 100etcd: PUT - 100 - 1000 - Average Latencyetcd: PUT - 100 - 1000etcd: PUT - 500 - 100etcd: PUT - 50 - 1000 - Average Latencyetcd: PUT - 50 - 1000etcd: PUT - 50 - 100 - Average Latencyetcd: PUT - 50 - 100leveldb: Fill Syncleveldb: Fill Syncstockfish: Total Timebuild-gcc: rk1-rok-emmcrk1-rok-nvme14.07054.618913.613.27417.316313.458.715827.122316043.000451.602301.83736.30147.6139.3138.9272.9872.359.89198.4555.542.43192.095156.26770.9043.3040.9038.588.7512.8339.335.65.810.780.558662266.249384.0722083.06710.57764.7219.349.00142.85810.936.909.7439.16153.49347.8712.639.840.747707855.613149.85331.7560.5275.6865.45031.498.6275.2373.60196.600781721091.3978.42114.07931.8831.65346.68459.16431.6675.965.50148.86822.440.39118543.1988.810.77629790.5634.6631.5731.8431.51177.8131.8118.56850.80581.1740.93580.241138.20111.89178.03676.09049.218.371835.916580.523524.735579.5531.56172.0652.693480.728581.12175.84580.68580.990.392878581.8531.6691.96580.86580.3031.5431.79579.87579.98579.193289.0720.59126831.61172.458109210.76782924.10668.8724.49756.1752222.4225375.953581.454.520206.26031.7631.790.8005286.275580.37581.6994.6184.5879612163.2560397116.831480504.598659943.266044208.634209877.148795842.378982933.521971973.417816823.002522234.261494312.230567375.450984967.734836885.013944215.712453192.872663116.250915595.946094636.013409675.176648268.8981046735.8339.2623.8243.8826.6211.068.636.127.536.541492.52859.853.518202.36087311.135752.618635.503312.48026.116150.919163.35397555.484050.319495.972111.19143.01353224.4740.348637656.215796.44026.26.116034.32936.241.921829.108121936.538643.511330.41833.26944.2336.7236.4468.5468.1210.48188.1565.840.24202.509149.21667.8641.4939.2237.079.0913.3137.945.86.011.140.576390258.521394.7422140.73510.85783.8749.569.21139.64711.187.059.9538.35150.35248.8412.8810.030.762093871.538147.15131.2261.47376.8764.44331.978.7576.2774.60194.147772115992.4279.29112.85631.5431.32343.15859.75831.3676.665.45150.10522.620.39429042.8589.480.77050891.2434.4131.7931.6331.71178.8931.6218.67451.09577.9241.16583.501131.97311.95577.63679.39949.458.411844.356582.873511.133581.7831.68172.69004833152.883468.302583.112626129175.24582.614894707579.1606672400.391729580.29461784931.5892.19579.55579.0131.6131.72581.10581.185384592580.243283.2420.59022131.66172.198121170.76682324.13669.6404.50256.2372220.1775371.024581.8522107854.517206.39631.7431.810.8000446.273580.460975005581.6016.0412.1023.4653.7068.1915.4024.6013.5526.0230.2728.5921.3030.9126.0830.4827.0819.8615.617.7131.1736.0631.6328.0517.9533.9919.9619.1423.1349.4429.8716.9025.0319.2317.617.3224.9968.0821.4030.7336.5022.8129.0422.5949.0018.8967.0429.8620.5941.3061.5021.025.2225.8027.7343.5526.11100.3628.725.2327.6939.8022.6627.8323.6119.4827.9022.455.3478.0713.5326.6527.97140.1116.2412.2123.2255.6867.9715.5725.2313.5715.7526.0618.70100.2430.33186.0133.6729.1496.42112.4921.92135.0231.4435.1526.7631.31205.5627.6873.38151.3819.9315.667.5130.6936.2135.6131.6727.5918.2233.8320.0618.87101.7281.0644.0023.0050.0530.0416.8625.2218.7117.727.2924.0867.3820.9931.0436.6023.9529.1722.6551.4919.5147.4768.1728.4620.4441.9739.99223.1260.7520.575.3225.5727.8842.9226.19101.6228.195.22121.6527.5941.1922.2429.3223.7466.74192.4519.5127.5520.1316.375.2647.0810.1818.1018.9685.1513.1810.7317.7036.1443.6012.3020.2211.713.2638.4615.60154.3721.04145.2024.2420.5959.3795.4516.65419.7923.1922.9520.1722.60106.3020.6242.69165.9614.7312.617.6522.5725.2424.2024.7821.1013.6036.9614.9413.2258.6349.3639.3416.6733.7321.8713.467.8413.7713.257.2841.4315.1943.4822.7422.3925.0717.9122.0015.2933.5216.04117.3441.6220.6916.23109.5156.78173.1536.6615.835.2717.8921.41119.3117.5977.1619.455.21101.8420.2424.4617.2720.7247.6743.74153.7814.1217.5815.4112.5126.2810.205.0417.236.6410.1610.1227.079.0110.07.5210.7817.4818.049.2814.569.1510.7916.6411.4647.1811.9943.4014.5712.3027.0419.7411.15118.0812.7113.7113.9712.8132.6113.7518.1250.339.838.987.0314.7416.3812.808.7017.079.468.6521.9019.5110.0019.0812.479.846.408.428.447.0917.3810.7517.4113.3613.609.3819.3311.9034.6917.5413.4310.4835.4733.7026.9412.105.0511.1513.8134.6810.3322.1911.435.1435.9014.3311.8311.8412.7619.4023.3848.889.0211.6311.2311.869.928.6111.027.624.859.835.737.266.097.757.798.196.638.8111.3910.078.047.309.248.868.8713.528.4414.3311.398.7814.2611.958.3119.119.0410.3510.958.5312.0811.2710.2717.197.887.836.4910.199.1110.769.876.5710.897.906.7313.228.7510.777.6512.438.697.608.617.156.726.228.0010.085.098.8311.4810.047.7012.299.2611.198.997.8811.272.688.0710.427.914.948.0210.5811.996.297.499.038.404.9012.7011.537.908.808.469.3311.7915.046.799.698.98148.66151.597807838131.39147.55151.543861997131.4379.6077.5680.4169.0937.16147.548531194152.207485397131.53113267782.35150.05152.872557219131.3841.8141.3738.83249.2454406.833635.8834.2112.1122.779.8214.3212.4816.5712.0416.793.7281.6188.0134.7035.9922.3843.7123.9010.897.816.517.036.041443.99942.232.728883.948615844.211231.030789.21425.617733.584932.628950.565616067.267730.930813.76945.617625.63803817.4290.24326446OpenBenchmarking.org

etcd

Etcd is a distributed, reliable key-value store intended for critical data of a distributed system. Etcd is written in Golang and part of the Cloud Native Computing Foundation (CNCF) and used by Kubernetes, Rook, CoreDNS, and other open-source software. This test profile uses Etcd's built-in benchmark to stress the PUT and RANGE performance of a single node / local system. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme48121620SE +/- 0.15, N = 3SE +/- 0.03, N = 314.06.2
OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme48121620Min: 13.7 / Avg: 14 / Max: 14.2Min: 6.2 / Avg: 6.23 / Max: 6.3

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100rk1-rok-emmcrk1-rok-nvme3K6K9K12K15KSE +/- 90.88, N = 3SE +/- 51.41, N = 37054.6215796.44
OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100rk1-rok-emmcrk1-rok-nvme3K6K9K12K15KMin: 6931.64 / Avg: 7054.62 / Max: 7232.02Min: 15696.45 / Avg: 15796.44 / Max: 15867.2

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.26, N = 9SE +/- 0.00, N = 313.66.2
OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme48121620Min: 11.7 / Avg: 13.62 / Max: 14.3Min: 6.2 / Avg: 6.2 / Max: 6.2

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.26, N = 9SE +/- 0.06, N = 313.26.1
OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme48121620Min: 11.3 / Avg: 13.17 / Max: 13.9Min: 6 / Avg: 6.1 / Max: 6.2

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100rk1-rok-emmcrk1-rok-nvme3K6K9K12K15KSE +/- 59.42, N = 3SE +/- 230.09, N = 37417.3216034.33
OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100rk1-rok-emmcrk1-rok-nvme3K6K9K12K15KMin: 7300.83 / Avg: 7417.32 / Max: 7495.95Min: 15730.71 / Avg: 16034.33 / Max: 16485.62

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.12, N = 3SE +/- 0.09, N = 313.46.2
OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100 - Average Latencyrk1-rok-emmcrk1-rok-nvme48121620Min: 13.2 / Avg: 13.37 / Max: 13.6Min: 6 / Avg: 6.17 / Max: 6.3

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000 - Average Latencyrk1-rok-emmcrk1-rok-nvme1326395265SE +/- 0.73, N = 3SE +/- 0.21, N = 358.741.9
OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000 - Average Latencyrk1-rok-emmcrk1-rok-nvme1224364860Min: 58 / Avg: 58.73 / Max: 60.2Min: 41.5 / Avg: 41.9 / Max: 42.2

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000rk1-rok-emmcrk1-rok-nvme5K10K15K20K25KSE +/- 379.06, N = 6SE +/- 41.44, N = 315827.1221829.11
OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000rk1-rok-emmcrk1-rok-nvme4K8K12K16K20KMin: 14621.45 / Avg: 15827.12 / Max: 17220.31Min: 21760.68 / Avg: 21829.11 / Max: 21903.82

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000rk1-rok-emmcrk1-rok-nvme5K10K15K20K25KSE +/- 178.58, N = 3SE +/- 76.06, N = 316043.0021936.54
OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000rk1-rok-emmcrk1-rok-nvme4K8K12K16K20KMin: 15686.18 / Avg: 16043 / Max: 16235.04Min: 21847.06 / Avg: 21936.54 / Max: 22087.82

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACrk1-rok-emmcrk1-rok-nvme1224364860SE +/- 0.55, N = 25SE +/- 0.02, N = 551.6043.511. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACrk1-rok-emmcrk1-rok-nvme1020304050Min: 48.72 / Avg: 51.6 / Max: 59.26Min: 43.47 / Avg: 43.51 / Max: 43.61. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To Compilerk1-rok-emmcrk1-rok-nvme70140210280350SE +/- 0.77, N = 3SE +/- 0.74, N = 3301.84330.42
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To Compilerk1-rok-emmcrk1-rok-nvme60120180240300Min: 300.52 / Avg: 301.84 / Max: 303.19Min: 328.97 / Avg: 330.42 / Max: 331.4

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1rk1-rok-emmcrk1-rok-nvme816243240SE +/- 0.35, N = 3SE +/- 0.04, N = 336.3033.271. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1rk1-rok-emmcrk1-rok-nvme816243240Min: 35.62 / Avg: 36.3 / Max: 36.76Min: 33.2 / Avg: 33.27 / Max: 33.331. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1122334455SE +/- 1.45, N = 3SE +/- 0.15, N = 347.6144.23
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1020304050Min: 46.1 / Avg: 47.61 / Max: 50.5Min: 43.93 / Avg: 44.23 / Max: 44.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 0.54, N = 3SE +/- 0.31, N = 339.3136.72
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme816243240Min: 38.38 / Avg: 39.31 / Max: 40.25Min: 36.1 / Avg: 36.72 / Max: 37.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 1.07, N = 3SE +/- 0.25, N = 338.9236.44
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme816243240Min: 37.06 / Avg: 38.92 / Max: 40.78Min: 36.11 / Avg: 36.44 / Max: 36.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme1632486480SE +/- 1.03, N = 3SE +/- 0.20, N = 372.9868.54
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme1428425670Min: 71.33 / Avg: 72.98 / Max: 74.88Min: 68.15 / Avg: 68.54 / Max: 68.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme1632486480SE +/- 2.01, N = 3SE +/- 0.15, N = 372.3568.12
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme1428425670Min: 69.97 / Avg: 72.35 / Max: 76.34Min: 67.83 / Avg: 68.12 / Max: 68.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.03, N = 3SE +/- 0.11, N = 39.8910.48
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215Min: 9.86 / Avg: 9.89 / Max: 9.95Min: 10.26 / Avg: 10.48 / Max: 10.63

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To Compilerk1-rok-emmcrk1-rok-nvme4080120160200SE +/- 1.67, N = 3SE +/- 1.65, N = 3198.46188.161. (CC) gcc options: -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To Compilerk1-rok-emmcrk1-rok-nvme4080120160200Min: 195.12 / Avg: 198.46 / Max: 200.26Min: 184.86 / Avg: 188.16 / Max: 189.921. (CC) gcc options: -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Overwriterk1-rok-emmcrk1-rok-nvme1.3052.613.9155.226.525SE +/- 0.06, N = 5SE +/- 0.03, N = 35.55.81. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Overwriterk1-rok-emmcrk1-rok-nvme246810Min: 5.4 / Avg: 5.54 / Max: 5.7Min: 5.8 / Avg: 5.83 / Max: 5.91. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1020304050SE +/- 0.80, N = 3SE +/- 0.32, N = 342.4340.24
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645Min: 40.84 / Avg: 42.43 / Max: 43.36Min: 39.59 / Avg: 40.24 / Max: 40.57

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compilerk1-rok-emmcrk1-rok-nvme4080120160200SE +/- 2.34, N = 3SE +/- 1.77, N = 3192.10202.51
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compilerk1-rok-emmcrk1-rok-nvme4080120160200Min: 188.79 / Avg: 192.09 / Max: 196.62Min: 199.77 / Avg: 202.51 / Max: 205.83

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Overwriterk1-rok-emmcrk1-rok-nvme306090120150SE +/- 1.90, N = 5SE +/- 0.48, N = 3156.27149.221. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Overwriterk1-rok-emmcrk1-rok-nvme306090120150Min: 151.56 / Avg: 156.27 / Max: 161.8Min: 148.27 / Avg: 149.22 / Max: 149.831. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

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 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme1632486480SE +/- 0.84, N = 3SE +/- 0.31, N = 370.9067.86
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme1428425670Min: 69.32 / Avg: 70.9 / Max: 72.2Min: 67.28 / Avg: 67.86 / Max: 68.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1020304050SE +/- 0.56, N = 3SE +/- 0.21, N = 343.3041.49
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645Min: 42.32 / Avg: 43.3 / Max: 44.25Min: 41.12 / Avg: 41.49 / Max: 41.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 1.25, N = 3SE +/- 0.36, N = 340.9039.22
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645Min: 39.58 / Avg: 40.9 / Max: 43.41Min: 38.59 / Avg: 39.22 / Max: 39.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 0.76, N = 3SE +/- 0.43, N = 338.5837.07
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme816243240Min: 37.47 / Avg: 38.58 / Max: 40.02Min: 36.61 / Avg: 37.07 / Max: 37.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.13, N = 3SE +/- 0.08, N = 58.759.09
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 8.49 / Avg: 8.75 / Max: 8.89Min: 8.8 / Avg: 9.09 / Max: 9.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.13, N = 9SE +/- 0.23, N = 312.8313.31
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test Timerk1-rok-emmcrk1-rok-nvme48121620Min: 12.23 / Avg: 12.83 / Max: 13.77Min: 12.94 / Avg: 13.31 / Max: 13.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 0.66, N = 3SE +/- 0.08, N = 339.3337.94
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme816243240Min: 38.16 / Avg: 39.33 / Max: 40.42Min: 37.85 / Avg: 37.94 / Max: 38.1

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Random Fillrk1-rok-emmcrk1-rok-nvme1.3052.613.9155.226.525SE +/- 0.03, N = 3SE +/- 0.06, N = 35.65.81. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Random Fillrk1-rok-emmcrk1-rok-nvme246810Min: 5.6 / Avg: 5.63 / Max: 5.7Min: 5.7 / Avg: 5.8 / Max: 5.91. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Sequential Fillrk1-rok-emmcrk1-rok-nvme246810SE +/- 0.03, N = 3SE +/- 0.03, N = 35.86.01. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Sequential Fillrk1-rok-emmcrk1-rok-nvme246810Min: 5.8 / Avg: 5.83 / Max: 5.9Min: 5.9 / Avg: 5.97 / Max: 61. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

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 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.12, N = 4SE +/- 0.01, N = 310.7811.14
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215Min: 10.42 / Avg: 10.78 / Max: 10.92Min: 11.12 / Avg: 11.14 / Max: 11.16

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024rk1-rok-emmcrk1-rok-nvme0.12970.25940.38910.51880.6485SE +/- 0.003479, N = 3SE +/- 0.005146, N = 90.5586620.5763901. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024rk1-rok-emmcrk1-rok-nvme246810Min: 0.55 / Avg: 0.56 / Max: 0.57Min: 0.55 / Avg: 0.58 / Max: 0.591. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 100 - Inserts: 1000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme60120180240300SE +/- 2.80, N = 9SE +/- 2.59, N = 6266.25258.521. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 100 - Inserts: 1000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme50100150200250Min: 255.58 / Avg: 266.25 / Max: 281.68Min: 251.17 / Avg: 258.52 / Max: 265.791. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 300 - Inserts: 1000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme90180270360450SE +/- 1.83, N = 3SE +/- 0.91, N = 3384.07394.741. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 300 - Inserts: 1000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme70140210280350Min: 380.82 / Avg: 384.07 / Max: 387.14Min: 392.93 / Avg: 394.74 / Max: 395.781. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 500 - Inserts: 3000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme5001000150020002500SE +/- 11.33, N = 3SE +/- 13.77, N = 32083.072140.741. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 500 - Inserts: 3000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme400800120016002000Min: 2061.04 / Avg: 2083.07 / Max: 2098.7Min: 2113.28 / Avg: 2140.74 / Max: 2156.321. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.04, N = 9SE +/- 0.16, N = 310.5710.85
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 10.45 / Avg: 10.57 / Max: 10.76Min: 10.64 / Avg: 10.85 / Max: 11.15

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO Optimizedrk1-rok-emmcrk1-rok-nvme2004006008001000764.72783.87

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.09, N = 3SE +/- 0.10, N = 59.349.56
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215Min: 9.19 / Avg: 9.34 / Max: 9.51Min: 9.41 / Avg: 9.56 / Max: 9.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.10, N = 3SE +/- 0.07, N = 39.009.21
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 8.84 / Avg: 9 / Max: 9.19Min: 9.08 / Avg: 9.21 / Max: 9.32

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Deleterk1-rok-emmcrk1-rok-nvme306090120150SE +/- 1.09, N = 3SE +/- 0.86, N = 3142.86139.651. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Deleterk1-rok-emmcrk1-rok-nvme306090120150Min: 140.67 / Avg: 142.86 / Max: 144.05Min: 138.01 / Avg: 139.65 / Max: 140.921. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

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 Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.08, N = 4SE +/- 0.09, N = 310.9311.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 10.78 / Avg: 10.93 / Max: 11.07Min: 11.05 / Avg: 11.18 / Max: 11.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme246810SE +/- 0.06, N = 4SE +/- 0.06, N = 36.907.05
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 6.79 / Avg: 6.9 / Max: 7Min: 6.99 / Avg: 7.05 / Max: 7.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.07, N = 4SE +/- 0.18, N = 39.749.95
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 9.53 / Avg: 9.74 / Max: 9.84Min: 9.61 / Avg: 9.95 / Max: 10.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 0.42, N = 3SE +/- 0.45, N = 339.1638.35
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme816243240Min: 38.42 / Avg: 39.16 / Max: 39.86Min: 37.45 / Avg: 38.35 / Max: 38.82

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Fillrk1-rok-emmcrk1-rok-nvme306090120150SE +/- 0.77, N = 3SE +/- 1.26, N = 3153.49150.351. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Fillrk1-rok-emmcrk1-rok-nvme306090120150Min: 152.37 / Avg: 153.49 / Max: 154.97Min: 148.03 / Avg: 150.35 / Max: 152.371. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1122334455SE +/- 0.11, N = 3SE +/- 0.20, N = 347.8748.84
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1020304050Min: 47.65 / Avg: 47.87 / Max: 48.02Min: 48.45 / Avg: 48.84 / Max: 49.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.12, N = 9SE +/- 0.11, N = 312.6312.88
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme48121620Min: 12.21 / Avg: 12.63 / Max: 13.26Min: 12.71 / Avg: 12.88 / Max: 13.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test Timerk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.15, N = 3SE +/- 0.09, N = 39.8410.03
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 9.59 / Avg: 9.84 / Max: 10.11Min: 9.88 / Avg: 10.03 / Max: 10.18

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512rk1-rok-emmcrk1-rok-nvme0.17150.3430.51450.6860.8575SE +/- 0.006668, N = 12SE +/- 0.003804, N = 30.7477070.7620931. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512rk1-rok-emmcrk1-rok-nvme246810Min: 0.72 / Avg: 0.75 / Max: 0.78Min: 0.76 / Avg: 0.76 / Max: 0.771. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 100 - Inserts: 3000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme2004006008001000SE +/- 1.88, N = 3SE +/- 10.18, N = 3855.61871.541. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 100 - Inserts: 3000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme150300450600750Min: 852.83 / Avg: 855.61 / Max: 859.19Min: 853.38 / Avg: 871.54 / Max: 888.61. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Sequential Fillrk1-rok-emmcrk1-rok-nvme306090120150SE +/- 0.65, N = 3SE +/- 0.57, N = 3149.85147.151. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Sequential Fillrk1-rok-emmcrk1-rok-nvme306090120150Min: 148.58 / Avg: 149.85 / Max: 150.69Min: 146.55 / Avg: 147.15 / Max: 148.291. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.14, N = 3SE +/- 0.32, N = 331.7531.22
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.47 / Avg: 31.75 / Max: 31.92Min: 30.73 / Avg: 31.22 / Max: 31.82

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Defaultrk1-rok-emmcrk1-rok-nvme142842567060.5261.47

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 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 1.13, N = 3SE +/- 0.48, N = 375.6876.87
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1530456075Min: 73.68 / Avg: 75.68 / Max: 77.59Min: 76.01 / Avg: 76.87 / Max: 77.65

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.4WAV To Opus Encoderk1-rok-emmcrk1-rok-nvme1530456075SE +/- 0.31, N = 5SE +/- 0.02, N = 565.4564.441. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.4WAV To Opus Encoderk1-rok-emmcrk1-rok-nvme1326395265Min: 64.82 / Avg: 65.45 / Max: 66.57Min: 64.38 / Avg: 64.44 / Max: 64.511. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.29, N = 3SE +/- 0.06, N = 331.4931.97
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 30.93 / Avg: 31.49 / Max: 31.86Min: 31.85 / Avg: 31.97 / Max: 32.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme246810SE +/- 0.07, N = 3SE +/- 0.03, N = 58.628.75
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 8.49 / Avg: 8.62 / Max: 8.74Min: 8.65 / Avg: 8.75 / Max: 8.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.04, N = 3SE +/- 0.73, N = 375.2376.27
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1530456075Min: 75.17 / Avg: 75.23 / Max: 75.31Min: 75.48 / Avg: 76.27 / Max: 77.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.59, N = 3SE +/- 0.55, N = 373.6074.60
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1428425670Min: 72.6 / Avg: 73.6 / Max: 74.64Min: 73.58 / Avg: 74.6 / Max: 75.48

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilerk1-rok-emmcrk1-rok-nvme4080120160200SE +/- 0.84, N = 3SE +/- 0.36, N = 3196.60194.15
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilerk1-rok-emmcrk1-rok-nvme4080120160200Min: 195.71 / Avg: 196.6 / Max: 198.28Min: 193.73 / Avg: 194.15 / Max: 194.86

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depthrk1-rok-emmcrk1-rok-nvme2M4M6M8M10MSE +/- 65797.59, N = 9SE +/- 44374.95, N = 378172107721159
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depthrk1-rok-emmcrk1-rok-nvme1.4M2.8M4.2M5.6M7MMin: 7604954 / Avg: 7817209.89 / Max: 8289923Min: 7651712 / Avg: 7721159 / Max: 7803739

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 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.29, N = 3SE +/- 0.10, N = 391.3992.42
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100Min: 90.8 / Avg: 91.39 / Max: 91.7Min: 92.3 / Avg: 92.42 / Max: 92.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.86, N = 3SE +/- 0.52, N = 378.4279.29
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1530456075Min: 76.89 / Avg: 78.42 / Max: 79.85Min: 78.49 / Avg: 79.29 / Max: 80.28

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To Compilerk1-rok-emmcrk1-rok-nvme306090120150SE +/- 0.41, N = 3SE +/- 0.43, N = 3114.08112.86
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To Compilerk1-rok-emmcrk1-rok-nvme20406080100Min: 113.51 / Avg: 114.08 / Max: 114.87Min: 112.13 / Avg: 112.86 / Max: 113.63

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 Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.05, N = 4SE +/- 0.08, N = 331.8831.54
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.74 / Avg: 31.88 / Max: 31.99Min: 31.38 / Avg: 31.54 / Max: 31.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.10, N = 3SE +/- 0.14, N = 331.6531.32
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.49 / Avg: 31.65 / Max: 31.83Min: 31.14 / Avg: 31.32 / Max: 31.61

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compilerk1-rok-emmcrk1-rok-nvme80160240320400SE +/- 2.82, N = 3SE +/- 2.08, N = 3346.68343.16
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compilerk1-rok-emmcrk1-rok-nvme60120180240300Min: 341.08 / Avg: 346.68 / Max: 350.11Min: 339.37 / Avg: 343.16 / Max: 346.53

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compilerk1-rok-emmcrk1-rok-nvme1326395265SE +/- 0.26, N = 3SE +/- 0.38, N = 359.1659.76
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compilerk1-rok-emmcrk1-rok-nvme1224364860Min: 58.64 / Avg: 59.16 / Max: 59.46Min: 59 / Avg: 59.76 / Max: 60.22

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 Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.04, N = 3SE +/- 0.26, N = 331.6631.36
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.59 / Avg: 31.66 / Max: 31.73Min: 30.9 / Avg: 31.36 / Max: 31.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.83, N = 3SE +/- 0.20, N = 375.9676.66
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1530456075Min: 74.33 / Avg: 75.96 / Max: 77.02Min: 76.42 / Avg: 76.66 / Max: 77.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1.23752.4753.71254.956.1875SE +/- 0.08, N = 3SE +/- 0.07, N = 55.505.45
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme246810Min: 5.38 / Avg: 5.5 / Max: 5.65Min: 5.23 / Avg: 5.45 / Max: 5.62

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To Compilerk1-rok-emmcrk1-rok-nvme306090120150SE +/- 1.75, N = 3SE +/- 1.68, N = 3148.87150.11
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To Compilerk1-rok-emmcrk1-rok-nvme306090120150Min: 147.01 / Avg: 148.87 / Max: 152.36Min: 147.69 / Avg: 150.11 / Max: 153.34

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 - Group By Test Timerk1-rok-emmcrk1-rok-nvme510152025SE +/- 0.36, N = 3SE +/- 0.20, N = 322.4422.62
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test Timerk1-rok-emmcrk1-rok-nvme510152025Min: 21.78 / Avg: 22.44 / Max: 23.02Min: 22.28 / Avg: 22.62 / Max: 22.99

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024rk1-rok-emmcrk1-rok-nvme0.08870.17740.26610.35480.4435SE +/- 0.003917, N = 3SE +/- 0.000760, N = 30.3911850.3942901. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024rk1-rok-emmcrk1-rok-nvme12345Min: 0.38 / Avg: 0.39 / Max: 0.4Min: 0.39 / Avg: 0.39 / Max: 0.41. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1020304050SE +/- 0.62, N = 3SE +/- 0.21, N = 343.1942.85
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645Min: 42.25 / Avg: 43.19 / Max: 44.35Min: 42.59 / Avg: 42.85 / Max: 43.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.12, N = 3SE +/- 0.67, N = 388.8189.48
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100Min: 88.56 / Avg: 88.81 / Max: 88.94Min: 88.23 / Avg: 89.48 / Max: 90.53

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512rk1-rok-emmcrk1-rok-nvme0.17470.34940.52410.69880.8735SE +/- 0.006662, N = 12SE +/- 0.010750, N = 30.7762970.7705081. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512rk1-rok-emmcrk1-rok-nvme246810Min: 0.75 / Avg: 0.78 / Max: 0.81Min: 0.75 / Avg: 0.77 / Max: 0.791. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.16, N = 3SE +/- 0.33, N = 390.5691.24
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100Min: 90.3 / Avg: 90.56 / Max: 90.85Min: 90.73 / Avg: 91.24 / Max: 91.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test Timerk1-rok-emmcrk1-rok-nvme816243240SE +/- 0.73, N = 3SE +/- 0.47, N = 334.6634.41
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test Timerk1-rok-emmcrk1-rok-nvme714212835Min: 33.41 / Avg: 34.66 / Max: 35.95Min: 33.48 / Avg: 34.41 / Max: 34.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.38, N = 3SE +/- 0.10, N = 331.5731.79
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 30.96 / Avg: 31.57 / Max: 32.28Min: 31.66 / Avg: 31.79 / Max: 31.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.04, N = 3SE +/- 0.09, N = 531.8431.63
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.78 / Avg: 31.84 / Max: 31.92Min: 31.31 / Avg: 31.63 / Max: 31.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.11, N = 3SE +/- 0.09, N = 331.5131.71
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.36 / Avg: 31.51 / Max: 31.71Min: 31.55 / Avg: 31.71 / Max: 31.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme4080120160200SE +/- 0.58, N = 3SE +/- 0.82, N = 3177.81178.89
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme306090120150Min: 176.77 / Avg: 177.81 / Max: 178.79Min: 177.32 / Avg: 178.89 / Max: 180.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.07, N = 3SE +/- 0.18, N = 331.8131.62
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.68 / Avg: 31.81 / Max: 31.94Min: 31.26 / Avg: 31.62 / Max: 31.88

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APErk1-rok-emmcrk1-rok-nvme510152025SE +/- 0.01, N = 5SE +/- 0.01, N = 518.5718.671. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APErk1-rok-emmcrk1-rok-nvme510152025Min: 18.56 / Avg: 18.57 / Max: 18.59Min: 18.64 / Avg: 18.67 / Max: 18.721. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1224364860SE +/- 0.36, N = 3SE +/- 0.24, N = 350.8051.09
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1020304050Min: 50.1 / Avg: 50.8 / Max: 51.31Min: 50.61 / Avg: 51.09 / Max: 51.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.41, N = 3SE +/- 0.51, N = 3581.17577.92
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 580.37 / Avg: 581.17 / Max: 581.71Min: 576.9 / Avg: 577.92 / Max: 578.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645SE +/- 0.24, N = 3SE +/- 0.13, N = 340.9341.16
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme918273645Min: 40.48 / Avg: 40.93 / Max: 41.28Min: 40.94 / Avg: 41.16 / Max: 41.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.54, N = 4SE +/- 2.32, N = 3580.24583.50
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 578.87 / Avg: 580.24 / Max: 581.45Min: 579.8 / Avg: 583.5 / Max: 587.76

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigrk1-rok-emmcrk1-rok-nvme2004006008001000SE +/- 5.72, N = 3SE +/- 2.04, N = 31138.201131.97
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigrk1-rok-emmcrk1-rok-nvme2004006008001000Min: 1132.14 / Avg: 1138.2 / Max: 1149.63Min: 1129.86 / Avg: 1131.97 / Max: 1136.06

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3rk1-rok-emmcrk1-rok-nvme3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 311.8911.961. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3rk1-rok-emmcrk1-rok-nvme3691215Min: 11.89 / Avg: 11.89 / Max: 11.9Min: 11.92 / Avg: 11.96 / Max: 121. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.49, N = 3SE +/- 0.10, N = 378.0377.63
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test Timerk1-rok-emmcrk1-rok-nvme1530456075Min: 77.47 / Avg: 78.03 / Max: 79Min: 77.44 / Avg: 77.63 / Max: 77.75

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 500 - Inserts: 1000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme150300450600750SE +/- 3.77, N = 3SE +/- 2.58, N = 3676.09679.401. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.3.2Bulk Size: 500 - Inserts: 1000 - Rounds: 30rk1-rok-emmcrk1-rok-nvme120240360480600Min: 670.24 / Avg: 676.09 / Max: 683.14Min: 675.2 / Avg: 679.4 / Max: 684.111. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1122334455SE +/- 0.15, N = 3SE +/- 0.05, N = 349.2149.45
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1020304050Min: 49.02 / Avg: 49.21 / Max: 49.51Min: 49.36 / Avg: 49.45 / Max: 49.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme246810SE +/- 0.13, N = 9SE +/- 0.27, N = 38.378.41
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Timerk1-rok-emmcrk1-rok-nvme3691215Min: 7.85 / Avg: 8.37 / Max: 9.01Min: 7.89 / Avg: 8.41 / Max: 8.8

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilerk1-rok-emmcrk1-rok-nvme400800120016002000SE +/- 4.83, N = 3SE +/- 6.78, N = 31835.921844.36
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilerk1-rok-emmcrk1-rok-nvme30060090012001500Min: 1826.28 / Avg: 1835.92 / Max: 1841.18Min: 1831.06 / Avg: 1844.36 / Max: 1853.29

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 1.38, N = 3SE +/- 3.74, N = 3580.52582.87
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 578.11 / Avg: 580.52 / Max: 582.89Min: 578.1 / Avg: 582.87 / Max: 590.24

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesrk1-rok-emmcrk1-rok-nvme8001600240032004000SE +/- 6.63, N = 3SE +/- 2.47, N = 33524.743511.13
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesrk1-rok-emmcrk1-rok-nvme6001200180024003000Min: 3517.44 / Avg: 3524.74 / Max: 3537.98Min: 3506.21 / Avg: 3511.13 / Max: 3513.9

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 1.02, N = 3SE +/- 0.62, N = 3579.55581.78
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 577.51 / Avg: 579.55 / Max: 580.64Min: 580.55 / Avg: 581.78 / Max: 582.4

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.09, N = 9SE +/- 0.12, N = 331.5631.68
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.05 / Avg: 31.56 / Max: 31.87Min: 31.51 / Avg: 31.68 / Max: 31.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme4080120160200SE +/- 0.48, N = 3SE +/- 1.56, N = 3172.06172.69
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme306090120150Min: 171.34 / Avg: 172.06 / Max: 172.96Min: 170.49 / Avg: 172.69 / Max: 175.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1224364860SE +/- 0.05, N = 3SE +/- 0.39, N = 352.6952.88
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme1122334455Min: 52.61 / Avg: 52.69 / Max: 52.77Min: 52.34 / Avg: 52.88 / Max: 53.65

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjark1-rok-emmcrk1-rok-nvme7001400210028003500SE +/- 3.31, N = 3SE +/- 1.23, N = 33480.733468.30
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjark1-rok-emmcrk1-rok-nvme6001200180024003000Min: 3474.96 / Avg: 3480.73 / Max: 3486.43Min: 3466.3 / Avg: 3468.3 / Max: 3470.55

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 Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.79, N = 3SE +/- 0.67, N = 3581.12583.11
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 579.61 / Avg: 581.12 / Max: 582.29Min: 581.84 / Avg: 583.11 / Max: 584.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme4080120160200SE +/- 0.42, N = 3SE +/- 0.47, N = 3175.84175.24
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme306090120150Min: 175.01 / Avg: 175.84 / Max: 176.35Min: 174.29 / Avg: 175.24 / Max: 175.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.47, N = 9SE +/- 0.55, N = 3580.68582.61
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 578.46 / Avg: 580.68 / Max: 582.9Min: 581.54 / Avg: 582.61 / Max: 583.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.64, N = 3SE +/- 1.70, N = 3580.99579.16
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 580.25 / Avg: 580.99 / Max: 582.25Min: 577.28 / Avg: 579.16 / Max: 582.55

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512rk1-rok-emmcrk1-rok-nvme0.08840.17680.26520.35360.442SE +/- 0.000095, N = 3SE +/- 0.000288, N = 30.3928780.3917291. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512rk1-rok-emmcrk1-rok-nvme12345Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.391. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 1.47, N = 3SE +/- 0.70, N = 3581.85580.29
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 579.21 / Avg: 581.85 / Max: 584.3Min: 579.31 / Avg: 580.29 / Max: 581.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835SE +/- 0.14, N = 3SE +/- 0.04, N = 331.6631.58
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframerk1-rok-emmcrk1-rok-nvme714212835Min: 31.37 / Avg: 31.66 / Max: 31.82Min: 31.49 / Avg: 31.58 / Max: 31.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100SE +/- 0.02, N = 3SE +/- 0.11, N = 391.9692.19
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Timerk1-rok-emmcrk1-rok-nvme20406080100Min: 91.92 / Avg: 91.96 / Max: 92Min: 92.01 / Avg: 92.19 / Max: 92.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.49, N = 3SE +/- 1.28, N = 3580.86579.55
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme100200300400500Min: 579.92 / Avg: 580.86 / Max: 581.55Min: 578.2 / Avg: 579.55 / Max: 582.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmarkrk1-rok-emmcrk1-rok-nvme130260390520650SE +/- 0.86, N = 3SE +/- 0.55, N = 3580.30579.01
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark