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 2402286-NE-ROK11738719
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

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

Graph Settings

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

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
rk1-rok-emmc
February 25
  21 Hours, 28 Minutes
tmpname
February 26
  4 Days, 11 Hours, 20 Minutes
Rockchip ARMv8 Cortex-A76
February 28
  3 Hours, 32 Minutes
Invert Behavior (Only Show Selected Data)
  1 Day, 20 Hours, 7 Minutes

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


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 - tmpname: NONE / relatime,rw / Block Size: 4096- tmpname: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu122.04)

rok1build-linux-kernel: allmodconfigcouchdb: 300 - 3000 - 30build-llvm: Unix Makefilesbuild-llvm: Ninjabuild-nodejs: Time To Compilebuild-gem5: Time To Compilecouchdb: 500 - 3000 - 30spark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - SHA-512 Benchmark Timebuild-godot: Time To Compileetcd: RANGE - 500 - 100 - Average Latencyetcd: RANGE - 500 - 100etcd: PUT - 500 - 100 - Average Latencyetcd: PUT - 500 - 100etcd: RANGE - 50 - 100 - Average Latencyetcd: RANGE - 50 - 100etcd: PUT - 50 - 100 - Average Latencyetcd: PUT - 50 - 100build-linux-kernel: defconfigspark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 20000000 - 1000 - Inner Join Test Timespark: 20000000 - 1000 - Repartition Test Timespark: 20000000 - 1000 - Group By Test Timespark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 500 - Inner Join Test Timespark: 20000000 - 500 - Repartition Test Timespark: 20000000 - 500 - Group By Test Timespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 20000000 - 100 - Repartition Test Timespark: 20000000 - 100 - Group By Test Timespark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 100 - SHA-512 Benchmark Timeetcd: RANGE - 100 - 1000 - Average Latencyetcd: RANGE - 100 - 1000spark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 100 - SHA-512 Benchmark Timeasmfish: 1024 Hash Memory, 26 Depthspark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 500 - SHA-512 Benchmark Timeetcd: RANGE - 50 - 1000 - Average Latencyetcd: RANGE - 50 - 1000spark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - SHA-512 Benchmark Timeetcd: PUT - 100 - 1000 - Average Latencyetcd: PUT - 100 - 1000etcd: PUT - 50 - 1000 - Average Latencyetcd: PUT - 50 - 1000spark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 2000 - SHA-512 Benchmark Timestargate: 480000 - 512couchdb: 100 - 3000 - 30spark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Group By Test Timespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 10000000 - 2000 - Group By Test Timespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 10000000 - 1000 - Repartition Test Timespark: 10000000 - 1000 - Group By Test Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - SHA-512 Benchmark Timestargate: 44100 - 512spark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timespark: 10000000 - 500 - Group By Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Calculate Pi Benchmarkspark: 10000000 - 500 - SHA-512 Benchmark Timecouchdb: 100 - 1000 - 30couchdb: 500 - 1000 - 30spark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Group By Test Timespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 100 - SHA-512 Benchmark Timebuild2: Time To Compileetcd: RANGE - 100 - 100 - Average Latencyetcd: RANGE - 100 - 100stockfish: Total Timeetcd: PUT - 100 - 100 - Average Latencyetcd: PUT - 100 - 100etcd: RANGE - 500 - 1000 - Average Latencyetcd: RANGE - 500 - 1000encode-flac: WAV To FLACstargate: 192000 - 1024stargate: 192000 - 512lczero: BLAScouchdb: 300 - 1000 - 30spark-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-tpch: 1 - Geometric Mean Of All Queriesbuild-php: Time To Compilebuild-erlang: Time To Compilestargate: 96000 - 1024stargate: 96000 - 512etcd: PUT - 500 - 1000 - Average Latencyetcd: PUT - 500 - 1000build-python: Released Build, PGO + LTO Optimizedstargate: 480000 - 1024m-queens: Time To Solvestargate: 44100 - 1024build-wasmer: Time To Compilebuild-ffmpeg: Time To Compilebuild-eigen: Time To Compileencode-wavpack: WAV To WavPackbuild-mplayer: Time To Compilebuild-imagemagick: Time To Compileencode-opus: WAV To Opus Encodeleveldb: Seq Fillleveldb: Seq Fillleveldb: Rand Deletebuild-apache: Time To Compilen-queens: Elapsed Timesqlite: 1encode-ape: WAV To APEleveldb: Overwriteleveldb: Overwritebuild-python: Defaultleveldb: Fill Syncleveldb: Fill Syncleveldb: Rand Fillleveldb: Rand Fillencode-mp3: WAV To MP3leveldb: Seek Randleveldb: Hot Readleveldb: Rand Readtscp: AI Chess Performancebuild-mesa: rk1-rok-emmctmpnameRockchip ARMv8 Cortex-A765375.9533524.7353480.7283289.0722222.4221835.9161138.2017817210668.87248637656346.684301.837764.721206.260198.455196.600192.095148.868114.07959.16456.17560.528109211492.5282083.0678.3711.0610.5712.8331.56580.6812.6313.67311.135713.27555.484012.48026.116111.19143.013575.9678.4272.9835.8331.75579.1991.3975.2378.0370.9039.2631.76581.1290.5673.6075.6872.3534.6631.81580.5288.8153.518202.360831.57579.98177.816.908.639.7410.9331.88580.2410.7831.51580.30172.0652.618635.503331.54581.69172.4531.65580.86175.8450.919163.353950.319495.972131.61579.8791.96855.61343.1943.8838.5826.6231.49581.8552.6940.9347.6139.3324.1031.66581.1750.8040.9043.3039.3122.4431.66580.3749.2139.1642.4338.9223.8231.79579.5547.87266.249676.0906.127.539.009.8431.79580.999.895.506.548.628.7531.84581.459.3414.07054.618913.47417.316359.815827.1223384.0723.2560397116.831480504.598659943.266044208.634209877.148795842.378982933.521971973.417816823.002522234.261494312.230567375.450984967.734836885.013944215.712453192.872663116.250915595.946094636.013409675.176648268.898104674.5879612158.716043.0004149.8535.8142.85836.301156.2675.53224.4740.3153.4935.66.2754.5204.4970.7477070.77629751.6020.3911850.3928780.5586620.5912680.7678290.80052894.61865.45018.56811.891OpenBenchmarking.org

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: allmodconfigrk1-rok-emmc12002400360048006000SE +/- 1.83, N = 35375.95

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: 300 - Inserts: 3000 - Rounds: 30tmpname30060090012001500SE +/- 31.00, N = 91492.531. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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-emmc8001600240032004000SE +/- 6.63, N = 33524.74

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjark1-rok-emmc7001400210028003500SE +/- 3.31, N = 33480.73

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilerk1-rok-emmc7001400210028003500SE +/- 3.73, N = 33289.07

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compilerk1-rok-emmc5001000150020002500SE +/- 2.55, N = 32222.42

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: 3000 - Rounds: 30tmpname400800120016002000SE +/- 11.33, N = 32083.071. (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 - Broadcast Inner Join Test Timetmpname246810SE +/- 0.13, N = 98.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test Timetmpname3691215SE +/- 0.50, N = 911.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test Timetmpname3691215SE +/- 0.04, N = 910.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test Timetmpname3691215SE +/- 0.13, N = 912.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.09, N = 931.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.47, N = 9580.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Timetmpname3691215SE +/- 0.12, N = 912.63

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-emmc400800120016002000SE +/- 4.83, N = 31835.92

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: 500 - Clients: 100 - Average Latencytmpname3691215SE +/- 0.26, N = 913.6

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 100tmpname16003200480064008000SE +/- 157.07, N = 97311.14

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100 - Average Latencytmpname3691215SE +/- 0.26, N = 913.2

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100tmpname16003200480064008000SE +/- 162.97, N = 97555.48

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 100 - Average Latencytmpname3691215SE +/- 0.31, N = 912.4

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 100tmpname2K4K6K8K10KSE +/- 213.67, N = 98026.12

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 100 - Average Latencytmpname3691215SE +/- 0.55, N = 911.1

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 100tmpname2K4K6K8K10KSE +/- 580.79, N = 99143.01

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-emmc2004006008001000SE +/- 5.72, N = 31138.20

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Timetmpname20406080100SE +/- 0.83, N = 375.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test Timetmpname20406080100SE +/- 0.86, N = 378.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test Timetmpname1632486480SE +/- 1.03, N = 372.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test Timetmpname816243240SE +/- 2.03, N = 335.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.14, N = 331.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.66, N = 3579.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Timetmpname20406080100SE +/- 0.29, N = 391.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Timetmpname20406080100SE +/- 0.04, N = 375.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test Timetmpname20406080100SE +/- 0.49, N = 378.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test Timetmpname1632486480SE +/- 0.84, N = 370.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test Timetmpname918273645SE +/- 4.59, N = 339.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.15, N = 331.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.79, N = 3581.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Timetmpname20406080100SE +/- 0.16, N = 390.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Timetmpname1632486480SE +/- 0.59, N = 373.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test Timetmpname20406080100SE +/- 1.13, N = 375.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test Timetmpname1632486480SE +/- 2.01, N = 372.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test Timetmpname816243240SE +/- 0.73, N = 334.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.07, N = 331.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmarktmpname130260390520650SE +/- 1.38, N = 3580.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Timetmpname20406080100SE +/- 0.12, N = 388.81

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: 1000 - Average Latencytmpname1224364860SE +/- 1.57, N = 1253.5

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 1000tmpname4K8K12K16K20KSE +/- 414.34, N = 1218202.36

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.38, N = 331.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.87, N = 3579.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Timetmpname4080120160200SE +/- 0.58, N = 3177.81

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-emmc2M4M6M8M10MSE +/- 65797.59, N = 97817210

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 - Broadcast Inner Join Test Timetmpname246810SE +/- 0.06, N = 46.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test Timetmpname246810SE +/- 0.63, N = 48.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test Timetmpname3691215SE +/- 0.07, N = 49.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test Timetmpname3691215SE +/- 0.08, N = 410.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.05, N = 431.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.54, N = 4580.24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Timetmpname3691215SE +/- 0.12, N = 410.78

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.11, N = 331.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.86, N = 3580.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Timetmpname4080120160200SE +/- 0.48, N = 3172.06

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: 50 - Clients: 1000 - Average Latencytmpname1224364860SE +/- 1.59, N = 1252.6

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 1000tmpname4K8K12K16K20KSE +/- 466.92, N = 1218635.50

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.16, N = 331.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.56, N = 3581.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Timetmpname4080120160200SE +/- 0.77, N = 3172.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.10, N = 331.65

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.49, N = 3580.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Timetmpname4080120160200SE +/- 0.42, N = 3175.84

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: PUT - Connections: 100 - Clients: 1000 - Average Latencytmpname1122334455SE +/- 1.74, N = 1250.9

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 1000tmpname4K8K12K16K20KSE +/- 530.09, N = 1219163.35

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 1000 - Average Latencytmpname1122334455SE +/- 1.66, N = 1250.3

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 1000tmpname4K8K12K16K20KSE +/- 523.12, N = 1219495.97

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.10, N = 331.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 1.08, N = 3579.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Timetmpname20406080100SE +/- 0.02, N = 391.96

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: 512Rockchip ARMv8 Cortex-A760.16820.33640.50460.67280.841SE +/- 0.006668, N = 120.7477071. (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: 30tmpname2004006008001000SE +/- 1.88, N = 3855.611. (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: 100 - Broadcast Inner Join Test Timetmpname1020304050SE +/- 0.62, N = 343.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test Timetmpname1020304050SE +/- 1.64, N = 343.88

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test Timetmpname918273645SE +/- 0.76, N = 338.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test Timetmpname612182430SE +/- 3.06, N = 326.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.29, N = 331.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmarktmpname130260390520650SE +/- 1.47, N = 3581.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Timetmpname1224364860SE +/- 0.05, N = 352.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Timetmpname918273645SE +/- 0.24, N = 340.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test Timetmpname1122334455SE +/- 1.45, N = 347.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test Timetmpname918273645SE +/- 0.66, N = 339.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test Timetmpname612182430SE +/- 0.22, N = 324.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.14, N = 331.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.41, N = 3581.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Timetmpname1122334455SE +/- 0.36, N = 350.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Timetmpname918273645SE +/- 1.25, N = 340.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test Timetmpname1020304050SE +/- 0.56, N = 343.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test Timetmpname918273645SE +/- 0.54, N = 339.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test Timetmpname510152025SE +/- 0.36, N = 322.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.04, N = 331.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmarktmpname130260390520650SE +/- 1.40, N = 3580.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Timetmpname1122334455SE +/- 0.15, N = 349.21

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: 512Rockchip ARMv8 Cortex-A760.17470.34940.52410.69880.8735SE +/- 0.006662, N = 120.7762971. (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: 500 - Broadcast Inner Join Test Timetmpname918273645SE +/- 0.42, N = 339.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test Timetmpname1020304050SE +/- 0.80, N = 342.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test Timetmpname918273645SE +/- 1.07, N = 338.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test Timetmpname612182430SE +/- 1.78, N = 323.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.11, N = 331.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmarktmpname130260390520650SE +/- 1.02, N = 3579.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Timetmpname1122334455SE +/- 0.11, N = 347.87

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: 30tmpname60120180240300SE +/- 2.80, N = 9266.251. (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: 30tmpname150300450600750SE +/- 3.77, N = 3676.091. (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: 500 - Broadcast Inner Join Test Timetmpname246810SE +/- 0.06, N = 36.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test Timetmpname246810SE +/- 0.52, N = 37.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test Timetmpname3691215SE +/- 0.10, N = 39.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test Timetmpname3691215SE +/- 0.15, N = 39.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.02, N = 331.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmarktmpname130260390520650SE +/- 0.64, N = 3580.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Timetmpname3691215SE +/- 0.03, N = 39.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Timetmpname1.23752.4753.71254.956.1875SE +/- 0.08, N = 35.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test Timetmpname246810SE +/- 0.29, N = 36.54

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test Timetmpname246810SE +/- 0.07, N = 38.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test Timetmpname246810SE +/- 0.13, N = 38.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframetmpname714212835SE +/- 0.04, N = 331.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmarktmpname130260390520650SE +/- 1.54, N = 3581.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Timetmpname3691215SE +/- 0.09, N = 39.34

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.15Time To Compilerk1-rok-emmc140280420560700SE +/- 2.22, N = 3668.87

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 Latencytmpname48121620SE +/- 0.15, N = 314.0

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100tmpname15003000450060007500SE +/- 90.88, N = 37054.62

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Timerk1-rok-emmc1000K2000K3000K4000K5000KSE +/- 138882.38, N = 748637651. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver

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: PUT - Connections: 100 - Clients: 100 - Average Latencytmpname3691215SE +/- 0.12, N = 313.4

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100tmpname16003200480064008000SE +/- 59.42, N = 37417.32

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000 - Average Latencytmpname1326395265SE +/- 1.51, N = 659.8

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000tmpname3K6K9K12K15KSE +/- 379.06, N = 615827.12

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 FLACRockchip ARMv8 Cortex-A761224364860SE +/- 0.55, N = 2551.601. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

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: 1024Rockchip ARMv8 Cortex-A760.0880.1760.2640.3520.44SE +/- 0.003917, N = 30.3911851. (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: 512Rockchip ARMv8 Cortex-A760.08840.17680.26520.35360.442SE +/- 0.000095, N = 30.3928781. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: BLASrk1-rok-emmc246810SE +/- 0.00, N = 361. (CXX) g++ options: -flto -pthread

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: 300 - Inserts: 1000 - Rounds: 30tmpname80160240320400SE +/- 1.83, N = 3384.071. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

Apache Spark TPC-H

This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22tmpname0.73261.46522.19782.93043.663SE +/- 0.40940044, N = 83.25603971

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21tmpname48121620SE +/- 0.09, N = 816.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20tmpname1.03472.06943.10414.13885.1735SE +/- 0.02853109, N = 84.59865994

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19tmpname0.73491.46982.20472.93963.6745SE +/- 0.04107179, N = 83.26604420

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18tmpname246810SE +/- 0.15655408, N = 88.63420987

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17tmpname246810SE +/- 0.05677966, N = 87.14879584

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16tmpname0.53531.07061.60592.14122.6765SE +/- 0.04873253, N = 82.37898293

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15tmpname0.79241.58482.37723.16963.962SE +/- 0.02096419, N = 83.52197197

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14tmpname0.7691.5382.3073.0763.845SE +/- 0.08797017, N = 83.41781682

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13tmpname0.67561.35122.02682.70243.378SE +/- 0.02994103, N = 83.00252223

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12tmpname0.95881.91762.87643.83524.794SE +/- 0.07037349, N = 84.26149431

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11tmpname0.50191.00381.50572.00762.5095SE +/- 0.02504461, N = 82.23056737

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10tmpname1.22652.4533.67954.9066.1325SE +/- 0.08702141, N = 85.45098496

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09tmpname246810SE +/- 0.06360940, N = 87.73483688

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08tmpname1.12812.25623.38434.51245.6405SE +/- 0.01870892, N = 85.01394421

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07tmpname1.28532.57063.85595.14126.4265SE +/- 0.12029949, N = 85.71245319

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06tmpname0.64631.29261.93892.58523.2315SE +/- 0.02204410, N = 82.87266311

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05tmpname246810SE +/- 0.06264325, N = 86.25091559

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04tmpname1.33792.67584.01375.35166.6895SE +/- 0.15490647, N = 85.94609463

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03tmpname246810SE +/- 0.07160103, N = 86.01340967

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02tmpname1.16472.32943.49414.65885.8235SE +/- 0.10497115, N = 85.17664826

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01tmpname246810SE +/- 0.10385415, N = 88.89810467

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriestmpname1.03232.06463.09694.12925.1615SE +/- 0.03832583, N = 84.58796121MIN: 2.14 / MAX: 17.23

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-emmc80160240320400SE +/- 2.82, N = 3346.68

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-emmc70140210280350SE +/- 0.77, N = 3301.84

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: 1024Rockchip ARMv8 Cortex-A760.12570.25140.37710.50280.6285SE +/- 0.003479, N = 30.5586621. (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: 512Rockchip ARMv8 Cortex-A760.1330.2660.3990.5320.665SE +/- 0.000630, N = 30.5912681. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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: PUT - Connections: 500 - Clients: 1000 - Average Latencytmpname1326395265SE +/- 0.73, N = 358.7

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000tmpname3K6K9K12K15KSE +/- 178.58, N = 316043.00

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-emmc160320480640800764.72

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

rk1-rok-emmc: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: gdb-10.2/missing: 81: makeinfo: not found

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: 1024Rockchip ARMv8 Cortex-A760.17280.34560.51840.69120.864SE +/- 0.000633, N = 30.7678291. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To Solverk1-rok-emmc50100150200250SE +/- 0.02, N = 3206.261. (CXX) g++ options: -fopenmp -O2 -march=native

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: 1024Rockchip ARMv8 Cortex-A760.18010.36020.54030.72040.9005SE +/- 0.000730, N = 30.8005281. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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-emmc4080120160200SE +/- 1.67, N = 3198.461. (CC) gcc options: -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

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-emmc4080120160200SE +/- 0.84, N = 3196.60

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-emmc4080120160200SE +/- 2.34, N = 3192.10

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackRockchip ARMv8 Cortex-A7620406080100SE +/- 0.05, N = 594.621. (CXX) g++ options: -rdynamic

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-emmc306090120150SE +/- 1.75, N = 3148.87

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-emmc306090120150SE +/- 0.41, N = 3114.08

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 EncodeRockchip ARMv8 Cortex-A761530456075SE +/- 0.31, N = 565.451. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

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 Filltmpname306090120150SE +/- 0.65, N = 3149.851. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Sequential Filltmpname1.3052.613.9155.226.525SE +/- 0.03, N = 35.81. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Deletetmpname306090120150SE +/- 1.09, N = 3142.861. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

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-emmc1326395265SE +/- 0.26, N = 359.16

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed Timerk1-rok-emmc1326395265SE +/- 0.00, N = 356.181. (CC) gcc options: -static -fopenmp -O3 -march=native

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: 1tmpname816243240SE +/- 0.35, N = 336.301. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

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 APERockchip ARMv8 Cortex-A76510152025SE +/- 0.01, N = 518.571. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

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: Overwritetmpname306090120150SE +/- 1.90, N = 5156.271. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Overwritetmpname1.23752.4753.71254.956.1875SE +/- 0.06, N = 55.51. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

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-emmc142842567060.52

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: Fill Synctmpname7001400210028003500SE +/- 80.48, N = 153224.471. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Fill Synctmpname0.06750.1350.20250.270.3375SE +/- 0.01, N = 150.31. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Filltmpname306090120150SE +/- 0.77, N = 3153.491. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Random Filltmpname1.262.523.785.046.3SE +/- 0.03, N = 35.61. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

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 MP3Rockchip ARMv8 Cortex-A763691215SE +/- 0.00, N = 311.891. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

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: Seek Randomtmpname246810SE +/- 0.013, N = 36.2751. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Hot Readtmpname1.0172.0343.0514.0685.085SE +/- 0.014, N = 34.5201. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random Readtmpname1.01182.02363.03544.04725.059SE +/- 0.015, N = 34.4971. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess Performancerk1-rok-emmc200K400K600K800K1000KSE +/- 238.60, N = 58109211. (CC) gcc options: -O3 -march=native

Apache Spark TPC-H

This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.

Scale Factor: 100

tmpname: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

Scale Factor: 10

tmpname: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

Scale Factor: 50

tmpname: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) open-source compiler. Learn more via the OpenBenchmarking.org test page.

rk1-rok-emmc: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

rk1-rok-emmc: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ninja: error: loading 'build.ninja': No such file or directory

195 Results Shown

Timed Linux Kernel Compilation
Apache CouchDB
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
Timed Node.js Compilation
Timed Gem5 Compilation
Apache CouchDB
Apache Spark:
  1000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Inner Join Test Time
  1000000 - 2000 - Repartition Test Time
  1000000 - 2000 - Group By Test Time
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Calculate Pi Benchmark
  1000000 - 2000 - SHA-512 Benchmark Time
Timed Godot Game Engine Compilation
etcd:
  RANGE - 500 - 100 - Average Latency
  RANGE - 500 - 100
  PUT - 500 - 100 - Average Latency
  PUT - 500 - 100
  RANGE - 50 - 100 - Average Latency
  RANGE - 50 - 100
  PUT - 50 - 100 - Average Latency
  PUT - 50 - 100
Timed Linux Kernel Compilation
Apache Spark:
  20000000 - 1000 - Broadcast Inner Join Test Time
  20000000 - 1000 - Inner Join Test Time
  20000000 - 1000 - Repartition Test Time
  20000000 - 1000 - Group By Test Time
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Calculate Pi Benchmark
  20000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 500 - Inner Join Test Time
  20000000 - 500 - Repartition Test Time
  20000000 - 500 - Group By Test Time
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - Calculate Pi Benchmark
  20000000 - 500 - SHA-512 Benchmark Time
  20000000 - 100 - Broadcast Inner Join Test Time
  20000000 - 100 - Inner Join Test Time
  20000000 - 100 - Repartition Test Time
  20000000 - 100 - Group By Test Time
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - Calculate Pi Benchmark
  20000000 - 100 - SHA-512 Benchmark Time
etcd:
  RANGE - 100 - 1000 - Average Latency
  RANGE - 100 - 1000
Apache Spark:
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Calculate Pi Benchmark
  40000000 - 100 - SHA-512 Benchmark Time
asmFish
Apache Spark:
  1000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 1000 - Inner Join Test Time
  1000000 - 1000 - Repartition Test Time
  1000000 - 1000 - Group By Test Time
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Calculate Pi Benchmark
  1000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 500 - SHA-512 Benchmark Time
etcd:
  RANGE - 50 - 1000 - Average Latency
  RANGE - 50 - 1000
Apache Spark:
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - Calculate Pi Benchmark
  40000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - Calculate Pi Benchmark
  40000000 - 2000 - SHA-512 Benchmark Time
etcd:
  PUT - 100 - 1000 - Average Latency
  PUT - 100 - 1000
  PUT - 50 - 1000 - Average Latency
  PUT - 50 - 1000
Apache Spark:
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark
  20000000 - 2000 - SHA-512 Benchmark Time
Stargate Digital Audio Workstation
Apache CouchDB
Apache Spark:
  10000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 100 - Inner Join Test Time
  10000000 - 100 - Repartition Test Time
  10000000 - 100 - Group By Test Time
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Calculate Pi Benchmark
  10000000 - 100 - SHA-512 Benchmark Time
  10000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Repartition Test Time
  10000000 - 2000 - Group By Test Time
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 2000 - Calculate Pi Benchmark
  10000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 1000 - Inner Join Test Time
  10000000 - 1000 - Repartition Test Time
  10000000 - 1000 - Group By Test Time
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 1000 - Calculate Pi Benchmark
  10000000 - 1000 - SHA-512 Benchmark Time
Stargate Digital Audio Workstation
Apache Spark:
  10000000 - 500 - Broadcast Inner Join Test Time
  10000000 - 500 - Inner Join Test Time
  10000000 - 500 - Repartition Test Time
  10000000 - 500 - Group By Test Time
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 500 - Calculate Pi Benchmark
  10000000 - 500 - SHA-512 Benchmark Time
Apache CouchDB:
  100 - 1000 - 30
  500 - 1000 - 30
Apache Spark:
  1000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 500 - Inner Join Test Time
  1000000 - 500 - Repartition Test Time
  1000000 - 500 - Group By Test Time
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Calculate Pi Benchmark
  1000000 - 500 - SHA-512 Benchmark Time
  1000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 100 - Inner Join Test Time
  1000000 - 100 - Repartition Test Time
  1000000 - 100 - Group By Test Time
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Calculate Pi Benchmark
  1000000 - 100 - SHA-512 Benchmark Time
Build2
etcd:
  RANGE - 100 - 100 - Average Latency
  RANGE - 100 - 100
Stockfish
etcd:
  PUT - 100 - 100 - Average Latency
  PUT - 100 - 100
  RANGE - 500 - 1000 - Average Latency
  RANGE - 500 - 1000
FLAC Audio Encoding
Stargate Digital Audio Workstation:
  192000 - 1024
  192000 - 512
LeelaChessZero
Apache CouchDB
Apache Spark TPC-H:
  1 - Q22
  1 - Q21
  1 - Q20
  1 - Q19
  1 - Q18
  1 - Q17
  1 - Q16
  1 - Q15
  1 - Q14
  1 - Q13
  1 - Q12
  1 - Q11
  1 - Q10
  1 - Q09
  1 - Q08
  1 - Q07
  1 - Q06
  1 - Q05
  1 - Q04
  1 - Q03
  1 - Q02
  1 - Q01
  1 - Geometric Mean Of All Queries
Timed PHP Compilation
Timed Erlang/OTP Compilation
Stargate Digital Audio Workstation:
  96000 - 1024
  96000 - 512
etcd:
  PUT - 500 - 1000 - Average Latency
  PUT - 500 - 1000
Timed CPython Compilation
Stargate Digital Audio Workstation
m-queens
Stargate Digital Audio Workstation
Timed Wasmer Compilation
Timed FFmpeg Compilation
Timed Eigen Compilation
WavPack Audio Encoding
Timed MPlayer Compilation
Timed ImageMagick Compilation
Opus Codec Encoding
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
  Rand Delete:
    Microseconds Per Op
Timed Apache Compilation
N-Queens
SQLite
Monkey Audio Encoding
LevelDB:
  Overwrite:
    Microseconds Per Op
    MB/s
Timed CPython Compilation
LevelDB:
  Fill Sync:
    Microseconds Per Op
    MB/s
  Rand Fill:
    Microseconds Per Op
    MB/s
LAME MP3 Encoding
LevelDB:
  Seek Rand
  Hot Read
  Rand Read
TSCP