rk1-emmc-compile

ARMv8 Cortex-A76 testing 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 2402287-NE-RK1EMMCCO17
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rk1-mainline-emmc
February 25
  22 Hours, 39 Minutes
ARMv8 Cortex-A76 - - Turing Machines RK1
February 26
  4 Days, 11 Hours, 31 Minutes
ARMv8 Cortex-A76
February 28
  2 Hours, 35 Minutes
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rk1-mainline-emmc

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: rockchip-cpufreq ondemand
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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

ARMv8 Cortex-A76 - - Turing Machines RK1

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: rockchip-cpufreq performance
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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

ARMv8 Cortex-A76

Processor: ARMv8 Cortex-A76 @ 1.80GHz (4 Cores / 8 Threads), Motherboard: Turing Machines RK1, Memory: 32GB, Disk: 1000GB CT1000P3PSSD8 + 31GB BJTD4R

OS: Ubuntu 22.04, Kernel: 6.7.0 (aarch64), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: rockchip-cpufreq performance
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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-emmc-compileOpenBenchmarking.orgPhoronix Test SuiteARMv8 Cortex-A76 @ 1.80GHz (4 Cores / 8 Threads)Turing Machines RK132GB1000GB CT1000P3PSSD8 + 31GB BJTD4RUbuntu 22.046.7.0 (aarch64)1.3.255GCC 11.4.0ext4ProcessorMotherboardMemoryDiskOSKernelVulkanCompilerFile-SystemRk1-emmc-compile BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - rk1-mainline-emmc: Scaling Governor: rockchip-cpufreq ondemand- ARMv8 Cortex-A76 - - Turing Machines RK1: Scaling Governor: rockchip-cpufreq performance - ARMv8 Cortex-A76: Scaling Governor: rockchip-cpufreq performance- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 - ARMv8 Cortex-A76 - - Turing Machines RK1: NONE / relatime,rw / Block Size: 4096 - ARMv8 Cortex-A76 - - Turing Machines RK1: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu122.04)

rk1-emmc-compilebuild-linux-kernel: allmodconfigbuild-llvm: Unix Makefilesbuild-llvm: Ninjabuild-nodejs: Time To Compilecouchdb: 300 - 3000 - 30build-gem5: Time To Compilecouchdb: 500 - 3000 - 30build-godot: Time To Compileetcd: 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 - 2000 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - Inner Join Test Timespark: 20000000 - 2000 - Repartition Test Timespark: 20000000 - 2000 - Group By Test Timespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 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 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 Timespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 500 - SHA-512 Benchmark Timespark: 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: RANGE - 500 - 100 - Average Latencyetcd: RANGE - 500 - 100spark: 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 - 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 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 - 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 - 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 Timespark: 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 Timestockfish: Total Timeetcd: RANGE - 100 - 1000 - Average Latencyetcd: RANGE - 100 - 1000spark: 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 Timeetcd: PUT - 100 - 1000 - Average Latencyetcd: PUT - 100 - 1000etcd: RANGE - 50 - 1000 - Average Latencyetcd: RANGE - 50 - 1000couchdb: 100 - 1000 - 30etcd: PUT - 50 - 1000 - Average Latencyetcd: PUT - 50 - 1000build2: Time To Compileasmfish: 1024 Hash Memory, 26 Depthetcd: RANGE - 100 - 100 - Average Latencyetcd: RANGE - 100 - 100etcd: PUT - 100 - 100 - Average Latencyetcd: PUT - 100 - 100couchdb: 500 - 1000 - 30encode-flac: WAV To FLACstargate: 192000 - 512stargate: 192000 - 1024lczero: BLAScouchdb: 300 - 1000 - 30build-php: Time To Compilebuild-erlang: Time To Compileetcd: RANGE - 500 - 1000 - Average Latencyetcd: RANGE - 500 - 1000n-queens: Elapsed Timeetcd: PUT - 500 - 1000 - Average Latencyetcd: PUT - 500 - 1000stargate: 96000 - 512stargate: 96000 - 1024build-python: Released Build, PGO + LTO Optimizedm-queens: Time To Solvebuild-wasmer: Time To Compilestargate: 480000 - 512build-ffmpeg: Time To Compilestargate: 480000 - 1024stargate: 44100 - 512stargate: 44100 - 1024sqlite: 1encode-wavpack: WAV To WavPackbuild-eigen: Time To Compilebuild-mplayer: Time To Compilespark-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-imagemagick: Time To Compileencode-opus: WAV To Opus Encodebuild-apache: Time To Compileencode-ape: WAV To APEleveldb: Seek Randleveldb: Overwriteleveldb: Overwriteleveldb: Seq Fillleveldb: Seq Fillleveldb: Rand Deletebuild-python: Defaultleveldb: Rand Fillleveldb: Rand Fillleveldb: Fill Syncleveldb: Fill Syncencode-mp3: WAV To MP3leveldb: Hot Readleveldb: Rand Readtscp: AI Chess Performancebuild-gcc: rk1-mainline-emmcARMv8 Cortex-A76 - - Turing Machines RK1ARMv8 Cortex-A765759.5053722.3723662.5393378.8172329.0311922.6401199.6135271840688.04775838565364.442310.69759.475784.302216.457215.924209.945173.211158.055120.10460.63466.1327385071412.8232261.83412.87773.677212.28177.708611.39019.787883.9486.4375.4437.3533.91723.32101.1584.0185.1275.1837.3133.81722.93100.7383.5383.8473.2237.0033.72714.0599.6482.0383.9874.3237.1133.73713.9196.685.726.599.089.0733.76727.5210.0133.63724.99195.4533.77728.26189.3933.51721.00189.7333.79710.71192.8112.67871.694147.1047.5241.2825.0534.02722.9057.0543.4745.6039.9623.8934.00722.3653.5244.5947.6740.5024.8533.96711.6055.1742.6844.6840.1623.2833.89692.0652.62887.8898.5810.6911.0113.0233.79733.7712.966.627.269.4610.1333.76733.9011.2364.415177.05127.298.3310.0611.3933.39717.1011.3863.015482.132061.815862.1226262.43759.016573.191313.57344.575713.27525.0016464.690377.96769.213685.591167.813947.866536.0662.6355025818.002487184.955533353.456161108.852170947.480081882.365291433.733936313.483763383.309991524.411468982.229465095.488646358.098931315.125953205.678459013.144960966.451014206.352845996.219260695.121564718.991113984.703943666.37662.01314.259.03115.055.52761.55014.33015.6460.34.5934.60654.3130.3643850.3815700.5491470.5708350.7437710.7656160.7757920.797260104.03971.49620.27513.050OpenBenchmarking.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-mainline-emmc12002400360048006000SE +/- 4.42, N = 35759.51

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-mainline-emmc8001600240032004000SE +/- 5.63, N = 33722.37

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjark1-mainline-emmc8001600240032004000SE +/- 5.47, N = 33662.54

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-mainline-emmc7001400210028003500SE +/- 2.91, N = 33378.82

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: 30ARMv8 Cortex-A76 - - Turing Machines RK130060090012001500SE +/- 14.88, N = 51412.821. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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-mainline-emmc5001000150020002500SE +/- 3.08, N = 32329.03

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: 30ARMv8 Cortex-A76 - - Turing Machines RK15001000150020002500SE +/- 0.87, N = 32261.831. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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-mainline-emmc400800120016002000SE +/- 7.67, N = 31922.64

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: 100 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.25, N = 912.8

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100ARMv8 Cortex-A76 - - Turing Machines RK117003400510068008500SE +/- 154.99, N = 97773.68

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 100 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.23, N = 912.2

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 100ARMv8 Cortex-A76 - - Turing Machines RK12K4K6K8K10KSE +/- 162.99, N = 98177.71

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 100 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.57, N = 911.3

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 100ARMv8 Cortex-A76 - - Turing Machines RK12K4K6K8K10KSE +/- 548.13, N = 99019.79

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-mainline-emmc30060090012001500SE +/- 1.10, N = 31199.61

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 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.57, N = 383.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.28, N = 386.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.46, N = 375.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.10, N = 337.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.11, N = 333.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 22.40, N = 3723.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.14, N = 3101.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.51, N = 384.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.32, N = 385.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.23, N = 375.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.79, N = 337.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.19, N = 333.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 11.19, N = 3722.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.20, N = 3100.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.30, N = 383.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.56, N = 383.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK11632486480SE +/- 0.15, N = 373.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.10, N = 337.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.25, N = 333.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1150300450600750SE +/- 17.41, N = 3714.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.31, N = 399.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.19, N = 382.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.57, N = 383.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.55, N = 374.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.45, N = 337.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.32, N = 333.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1150300450600750SE +/- 8.94, N = 3713.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK120406080100SE +/- 0.22, N = 396.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11.2872.5743.8615.1486.435SE +/- 0.09, N = 45.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.13, N = 46.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.03, N = 49.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.02, N = 49.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.12, N = 433.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 9.68, N = 4727.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.11, N = 410.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.05, N = 333.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 8.88, N = 3724.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK14080120160200SE +/- 0.34, N = 3195.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.10, N = 333.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 6.99, N = 3728.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK14080120160200SE +/- 0.26, N = 3189.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.22, N = 333.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 14.94, N = 3721.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK14080120160200SE +/- 0.54, N = 3189.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.06, N = 333.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1150300450600750SE +/- 16.56, N = 3710.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK14080120160200SE +/- 0.40, N = 3192.81

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: 500 - Clients: 100 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.31, N = 612.6

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 100ARMv8 Cortex-A76 - - Turing Machines RK12K4K6K8K10KSE +/- 186.80, N = 67871.69

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 TimeARMv8 Cortex-A76 - - Turing Machines RK11122334455SE +/- 0.25, N = 347.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11122334455SE +/- 0.26, N = 347.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.56, N = 341.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1612182430SE +/- 0.30, N = 325.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.10, N = 334.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 3.83, N = 3722.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK11326395265SE +/- 0.32, N = 357.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11020304050SE +/- 0.09, N = 343.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11020304050SE +/- 0.40, N = 345.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.23, N = 339.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1612182430SE +/- 0.35, N = 323.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.18, N = 334.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 5.58, N = 3722.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK11224364860SE +/- 0.22, N = 353.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11020304050SE +/- 0.27, N = 344.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11122334455SE +/- 0.21, N = 347.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.03, N = 340.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1612182430SE +/- 0.28, N = 324.85

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.14, N = 333.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1150300450600750SE +/- 13.31, N = 3711.60

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK11224364860SE +/- 0.39, N = 355.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11020304050SE +/- 0.24, N = 342.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK11020304050SE +/- 0.42, N = 344.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK1918273645SE +/- 0.58, N = 340.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK1612182430SE +/- 0.42, N = 323.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.13, N = 333.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1150300450600750SE +/- 3.66, N = 3692.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK11224364860SE +/- 0.11, N = 352.62

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: 30ARMv8 Cortex-A76 - - Turing Machines RK12004006008001000SE +/- 1.11, N = 3887.891. (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 TimeARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.18, N = 38.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.10, N = 310.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.18, N = 311.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.15, N = 313.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.01, N = 333.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 5.14, N = 3733.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.14, N = 312.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.09, N = 36.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.06, N = 37.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.04, N = 39.46

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.09, N = 310.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.16, N = 333.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1160320480640800SE +/- 10.10, N = 3733.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.08, N = 311.23

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-mainline-emmc1.1M2.2M3.3M4.4M5.5MSE +/- 385132.57, N = 952718401. (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: RANGE - Connections: 100 - Clients: 1000 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK11428425670SE +/- 2.12, N = 964.4

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 1000ARMv8 Cortex-A76 - - Turing Machines RK13K6K9K12K15KSE +/- 438.82, N = 915177.05

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 TimeARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.04, N = 37.29

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.11, N = 38.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.02, N = 310.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.03, N = 311.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.08, N = 333.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkARMv8 Cortex-A76 - - Turing Machines RK1150300450600750SE +/- 1.88, N = 3717.10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.14, N = 311.38

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 LatencyARMv8 Cortex-A76 - - Turing Machines RK11428425670SE +/- 1.82, N = 963.0

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 1000ARMv8 Cortex-A76 - - Turing Machines RK13K6K9K12K15KSE +/- 392.03, N = 915482.13

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 1000 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK11428425670SE +/- 1.90, N = 961.8

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 50 - Clients: 1000ARMv8 Cortex-A76 - - Turing Machines RK13K6K9K12K15KSE +/- 428.03, N = 915862.12

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: 30ARMv8 Cortex-A76 - - Turing Machines RK160120180240300SE +/- 3.82, N = 9262.441. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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: 50 - Clients: 1000 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK11326395265SE +/- 1.79, N = 959.0

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 50 - Clients: 1000ARMv8 Cortex-A76 - - Turing Machines RK14K8K12K16K20KSE +/- 452.84, N = 916573.19

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-mainline-emmc150300450600750SE +/- 1.02, N = 3688.05

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-mainline-emmc1.6M3.2M4.8M6.4M8MSE +/- 75549.20, N = 67583856

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 LatencyARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.09, N = 313.5

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100ARMv8 Cortex-A76 - - Turing Machines RK116003200480064008000SE +/- 43.16, N = 37344.58

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.15, N = 313.2

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100ARMv8 Cortex-A76 - - Turing Machines RK116003200480064008000SE +/- 78.80, N = 37525.00

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: 30ARMv8 Cortex-A76 - - Turing Machines RK1100200300400500SE +/- 0.74, N = 3464.691. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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 FLACARMv8 Cortex-A761224364860SE +/- 0.33, N = 2554.311. (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: 512ARMv8 Cortex-A760.0820.1640.2460.3280.41SE +/- 0.000865, N = 30.3643851. (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: 1024ARMv8 Cortex-A760.08590.17180.25770.34360.4295SE +/- 0.000191, N = 30.3815701. (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-mainline-emmc1.1252.253.3754.55.625SE +/- 0.00, N = 351. (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: 30ARMv8 Cortex-A76 - - Turing Machines RK180160240320400SE +/- 2.78, N = 3377.971. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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-mainline-emmc80160240320400SE +/- 4.51, N = 3364.44

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-mainline-emmc70140210280350SE +/- 0.61, N = 3310.70

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: 1000 - Average LatencyARMv8 Cortex-A76 - - Turing Machines RK11530456075SE +/- 0.98, N = 369.2

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000ARMv8 Cortex-A76 - - Turing Machines RK13K6K9K12K15KSE +/- 181.75, N = 313685.59

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-mainline-emmc1326395265SE +/- 0.70, N = 1559.481. (CC) gcc options: -static -fopenmp -O3 -march=native

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 LatencyARMv8 Cortex-A76 - - Turing Machines RK11530456075SE +/- 0.71, N = 367.8

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000ARMv8 Cortex-A76 - - Turing Machines RK13K6K9K12K15KSE +/- 131.09, N = 313947.87

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: 512ARMv8 Cortex-A760.12360.24720.37080.49440.618SE +/- 0.000635, N = 30.5491471. (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: 1024ARMv8 Cortex-A760.12840.25680.38520.51360.642SE +/- 0.000339, N = 30.5708351. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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-mainline-emmc2004006008001000784.30

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-mainline-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

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-mainline-emmc50100150200250SE +/- 0.04, N = 3216.461. (CXX) g++ options: -fopenmp -O2 -march=native

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-mainline-emmc50100150200250SE +/- 0.59, N = 3215.921. (CC) gcc options: -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

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: 512ARMv8 Cortex-A760.16730.33460.50190.66920.8365SE +/- 0.000670, N = 30.7437711. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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-mainline-emmc50100150200250SE +/- 0.50, N = 3209.95

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: 1024ARMv8 Cortex-A760.17230.34460.51690.68920.8615SE +/- 0.000798, N = 30.7656161. (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: 512ARMv8 Cortex-A760.17460.34920.52380.69840.873SE +/- 0.000792, N = 30.7757921. (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: 1024ARMv8 Cortex-A760.17940.35880.53820.71760.897SE +/- 0.000604, N = 30.7972601. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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: 1ARMv8 Cortex-A76 - - Turing Machines RK1816243240SE +/- 0.28, N = 1536.071. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

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 WavPackARMv8 Cortex-A7620406080100SE +/- 0.07, N = 5104.041. (CXX) g++ options: -rdynamic

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-mainline-emmc4080120160200SE +/- 0.08, N = 3173.21

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-mainline-emmc306090120150SE +/- 0.66, N = 3158.06

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 - Q22ARMv8 Cortex-A76 - - Turing Machines RK10.5931.1861.7792.3722.965SE +/- 0.05419067, N = 32.63550258

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21ARMv8 Cortex-A76 - - Turing Machines RK148121620SE +/- 0.46, N = 318.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20ARMv8 Cortex-A76 - - Turing Machines RK11.1152.233.3454.465.575SE +/- 0.16740673, N = 34.95553335

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19ARMv8 Cortex-A76 - - Turing Machines RK10.77761.55522.33283.11043.888SE +/- 0.08247514, N = 33.45616110

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.02944973, N = 38.85217094

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.11188602, N = 37.48008188

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16ARMv8 Cortex-A76 - - Turing Machines RK10.53221.06441.59662.12882.661SE +/- 0.04807800, N = 32.36529143

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15ARMv8 Cortex-A76 - - Turing Machines RK10.84011.68022.52033.36044.2005SE +/- 0.01587727, N = 33.73393631

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14ARMv8 Cortex-A76 - - Turing Machines RK10.78381.56762.35143.13523.919SE +/- 0.09844103, N = 33.48376338

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13ARMv8 Cortex-A76 - - Turing Machines RK10.74471.48942.23412.97883.7235SE +/- 0.05404231, N = 33.30999152

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12ARMv8 Cortex-A76 - - Turing Machines RK10.99261.98522.97783.97044.963SE +/- 0.07812445, N = 34.41146898

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11ARMv8 Cortex-A76 - - Turing Machines RK10.50161.00321.50482.00642.508SE +/- 0.00889576, N = 32.22946509

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10ARMv8 Cortex-A76 - - Turing Machines RK11.23492.46983.70474.93966.1745SE +/- 0.12475642, N = 35.48864635

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.03195754, N = 38.09893131

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08ARMv8 Cortex-A76 - - Turing Machines RK11.15332.30663.45994.61325.7665SE +/- 0.07990249, N = 35.12595320

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07ARMv8 Cortex-A76 - - Turing Machines RK11.27772.55543.83315.11086.3885SE +/- 0.01424190, N = 35.67845901

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06ARMv8 Cortex-A76 - - Turing Machines RK10.70761.41522.12282.83043.538SE +/- 0.06400088, N = 33.14496096

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.08288138, N = 36.45101420

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.15831346, N = 36.35284599

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.17085945, N = 36.21926069

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02ARMv8 Cortex-A76 - - Turing Machines RK11.15242.30483.45724.60965.762SE +/- 0.06585723, N = 35.12156471

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01ARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.17776740, N = 38.99111398

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All QueriesARMv8 Cortex-A76 - - Turing Machines RK11.05842.11683.17524.23365.292SE +/- 0.02205715, N = 34.70394366MIN: 2.21 / MAX: 18.87
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01ARMv8 Cortex-A76 - - Turing Machines RK13691215SE +/- 0.17776740, N = 38.99111398
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02ARMv8 Cortex-A76 - - Turing Machines RK11.15242.30483.45724.60965.762SE +/- 0.06585723, N = 35.12156471
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.17085945, N = 36.21926069
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.15831346, N = 36.35284599
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.08288138, N = 36.45101420
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06ARMv8 Cortex-A76 - - Turing Machines RK10.70761.41522.12282.83043.538SE +/- 0.06400088, N = 33.14496096
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07ARMv8 Cortex-A76 - - Turing Machines RK11.27772.55543.83315.11086.3885SE +/- 0.01424190, N = 35.67845901
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08ARMv8 Cortex-A76 - - Turing Machines RK11.15332.30663.45994.61325.7665SE +/- 0.07990249, N = 35.12595320
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.03195754, N = 38.09893131
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10ARMv8 Cortex-A76 - - Turing Machines RK11.23492.46983.70474.93966.1745SE +/- 0.12475642, N = 35.48864635
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11ARMv8 Cortex-A76 - - Turing Machines RK10.50161.00321.50482.00642.508SE +/- 0.00889576, N = 32.22946509
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12ARMv8 Cortex-A76 - - Turing Machines RK10.99261.98522.97783.97044.963SE +/- 0.07812445, N = 34.41146898
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13ARMv8 Cortex-A76 - - Turing Machines RK10.74471.48942.23412.97883.7235SE +/- 0.05404231, N = 33.30999152
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14ARMv8 Cortex-A76 - - Turing Machines RK10.78381.56762.35143.13523.919SE +/- 0.09844103, N = 33.48376338
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15ARMv8 Cortex-A76 - - Turing Machines RK10.84011.68022.52033.36044.2005SE +/- 0.01587727, N = 33.73393631
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16ARMv8 Cortex-A76 - - Turing Machines RK10.53221.06441.59662.12882.661SE +/- 0.04807800, N = 32.36529143
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.11188602, N = 37.48008188
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18ARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.02944973, N = 38.85217094
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19ARMv8 Cortex-A76 - - Turing Machines RK10.77761.55522.33283.11043.888SE +/- 0.08247514, N = 33.45616110
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20ARMv8 Cortex-A76 - - Turing Machines RK11.1152.233.3454.465.575SE +/- 0.16740673, N = 34.95553335
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21ARMv8 Cortex-A76 - - Turing Machines RK148121620SE +/- 0.46, N = 318.00
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22ARMv8 Cortex-A76 - - Turing Machines RK10.5931.1861.7792.3722.965SE +/- 0.05419067, N = 32.63550258

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-mainline-emmc306090120150SE +/- 0.66, N = 3120.10

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 EncodeARMv8 Cortex-A761632486480SE +/- 0.17, N = 571.501. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

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-mainline-emmc1428425670SE +/- 0.16, N = 360.63

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 APEARMv8 Cortex-A76510152025SE +/- 0.00, N = 520.281. (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: Seek RandomARMv8 Cortex-A76 - - Turing Machines RK1246810SE +/- 0.148, N = 156.3761. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: OverwriteARMv8 Cortex-A76 - - Turing Machines RK11428425670SE +/- 0.51, N = 1562.011. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: OverwriteARMv8 Cortex-A76 - - Turing Machines RK148121620SE +/- 0.11, N = 1514.21. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Sequential FillARMv8 Cortex-A76 - - Turing Machines RK11326395265SE +/- 0.41, N = 359.031. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Sequential FillARMv8 Cortex-A76 - - Turing Machines RK148121620SE +/- 0.12, N = 315.01. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random DeleteARMv8 Cortex-A76 - - Turing Machines RK11224364860SE +/- 0.13, N = 355.531. (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-mainline-emmc153045607566.13

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 FillARMv8 Cortex-A76 - - Turing Machines RK11428425670SE +/- 0.49, N = 1061.551. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Random FillARMv8 Cortex-A76 - - Turing Machines RK148121620SE +/- 0.11, N = 1014.31. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Fill SyncARMv8 Cortex-A76 - - Turing Machines RK16001200180024003000SE +/- 124.90, N = 153015.651. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.23Benchmark: Fill SyncARMv8 Cortex-A76 - - Turing Machines RK10.06750.1350.20250.270.3375SE +/- 0.01, N = 150.31. (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 MP3ARMv8 Cortex-A763691215SE +/- 0.01, N = 313.051. (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: Hot ReadARMv8 Cortex-A76 - - Turing Machines RK11.03342.06683.10024.13365.167SE +/- 0.032, N = 34.5931. (CXX) g++ options: -fno-exceptions -fno-rtti -O3 -lgmock -lgtest -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.23Benchmark: Random ReadARMv8 Cortex-A76 - - Turing Machines RK11.03642.07283.10924.14565.182SE +/- 0.043, N = 34.6061. (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-mainline-emmc160K320K480K640K800KSE +/- 370.48, N = 57385071. (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: 50

ARMv8 Cortex-A76 - - Turing Machines RK1: 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

ARMv8 Cortex-A76 - - Turing Machines RK1: 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: 100

ARMv8 Cortex-A76 - - Turing Machines RK1: 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 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-mainline-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

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-mainline-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.

199 Results Shown

Timed Linux Kernel Compilation
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
Timed Node.js Compilation
Apache CouchDB
Timed Gem5 Compilation
Apache CouchDB
Timed Godot Game Engine Compilation
etcd:
  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 - 2000 - Broadcast Inner Join Test Time
  20000000 - 2000 - Inner Join Test Time
  20000000 - 2000 - Repartition Test Time
  20000000 - 2000 - Group By Test Time
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark
  20000000 - 2000 - SHA-512 Benchmark Time
  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
  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
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Calculate Pi Benchmark
  40000000 - 100 - SHA-512 Benchmark Time
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 500 - SHA-512 Benchmark Time
  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:
  RANGE - 500 - 100 - Average Latency
  RANGE - 500 - 100
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 - 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
  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 - 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
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
  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
Stockfish
etcd:
  RANGE - 100 - 1000 - Average Latency
  RANGE - 100 - 1000
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
etcd:
  PUT - 100 - 1000 - Average Latency
  PUT - 100 - 1000
  RANGE - 50 - 1000 - Average Latency
  RANGE - 50 - 1000
Apache CouchDB
etcd:
  PUT - 50 - 1000 - Average Latency
  PUT - 50 - 1000
Build2
asmFish
etcd:
  RANGE - 100 - 100 - Average Latency
  RANGE - 100 - 100
  PUT - 100 - 100 - Average Latency
  PUT - 100 - 100
Apache CouchDB
FLAC Audio Encoding
Stargate Digital Audio Workstation:
  192000 - 512
  192000 - 1024
LeelaChessZero
Apache CouchDB
Timed PHP Compilation
Timed Erlang/OTP Compilation
etcd:
  RANGE - 500 - 1000 - Average Latency
  RANGE - 500 - 1000
N-Queens
etcd:
  PUT - 500 - 1000 - Average Latency
  PUT - 500 - 1000
Stargate Digital Audio Workstation:
  96000 - 512
  96000 - 1024
Timed CPython Compilation
m-queens
Timed Wasmer Compilation
Stargate Digital Audio Workstation
Timed FFmpeg Compilation
Stargate Digital Audio Workstation:
  480000 - 1024
  44100 - 512
  44100 - 1024
SQLite
WavPack Audio Encoding
Timed Eigen Compilation
Timed MPlayer Compilation
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 ImageMagick Compilation
Opus Codec Encoding
Timed Apache Compilation
Monkey Audio Encoding
LevelDB:
  Seek Rand
  Overwrite
  Overwrite
  Seq Fill
  Seq Fill
  Rand Delete
Timed CPython Compilation
LevelDB:
  Rand Fill:
    Microseconds Per Op
    MB/s
  Fill Sync:
    Microseconds Per Op
    MB/s
LAME MP3 Encoding
LevelDB:
  Hot Read
  Rand Read
TSCP

rk1-mainline-emmc

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: rockchip-cpufreq ondemand
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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

Testing initiated at 25 February 2024 05:25 by user ubuntu.

ARMv8 Cortex-A76 - - Turing Machines RK1

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: rockchip-cpufreq performance
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu122.04)
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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

Testing initiated at 26 February 2024 21:31 by user ubuntu.

ARMv8 Cortex-A76

Processor: ARMv8 Cortex-A76 @ 1.80GHz (4 Cores / 8 Threads), Motherboard: Turing Machines RK1, Memory: 32GB, Disk: 1000GB CT1000P3PSSD8 + 31GB BJTD4R

OS: Ubuntu 22.04, Kernel: 6.7.0 (aarch64), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: rockchip-cpufreq performance
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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

Testing initiated at 28 February 2024 19:03 by user ubuntu.