rok1

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

HTML result view exported from: https://openbenchmarking.org/result/2403147-NE-ROK16413140&grw.

TSCP

AI Chess Performance

FLAC Audio Encoding

WAV To FLAC

LAME MP3 Encoding

WAV To MP3

Monkey Audio Encoding

WAV To APE

Opus Codec Encoding

WAV To Opus Encode

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 1024

WavPack Audio Encoding

WAV To WavPack

LeelaChessZero

Backend: BLAS

N-Queens

Elapsed Time

Timed FFmpeg Compilation

Time To Compile

Timed GDB GNU Debugger Compilation

Time To Compile

Timed ImageMagick Compilation

Time To Compile

Timed MPlayer Compilation

Time To Compile

Timed Apache Compilation

Time To Compile

Stockfish

Total Time

Timed LLVM Compilation

Build System: Ninja

Timed LLVM Compilation

Build System: Unix Makefiles

Timed PHP Compilation

Time To Compile

asmFish

1024 Hash Memory, 26 Depth

m-queens

Time To Solve

Timed GCC Compilation

Time To Compile

Timed Linux Kernel Compilation

Build: defconfig

Timed Linux Kernel Compilation

Build: allmodconfig

Timed Godot Game Engine Compilation

Time To Compile

Build2

Time To Compile

Timed CPython Compilation

Build Configuration: Default

Timed CPython Compilation

Build Configuration: Released Build, PGO + LTO Optimized

Timed Eigen Compilation

Time To Compile

Timed Erlang/OTP Compilation

Time To Compile

Timed Gem5 Compilation

Time To Compile

Timed Node.js Compilation

Time To Compile

Timed Wasmer Compilation

Time To Compile

Apache Spark TPC-H

Scale Factor: 1 - Geometric Mean Of All Queries

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 30

Apache CouchDB

Bulk Size: 100 - Inserts: 3000 - Rounds: 30

Apache CouchDB

Bulk Size: 300 - Inserts: 1000 - Rounds: 30

Apache CouchDB

Bulk Size: 300 - Inserts: 3000 - Rounds: 30

Apache CouchDB

Bulk Size: 500 - Inserts: 1000 - Rounds: 30

Apache CouchDB

Bulk Size: 500 - Inserts: 3000 - Rounds: 30

Apache Spark

Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 1000000 - Partitions: 100 - Group By Test Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Repartition Test Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time

Apache Spark

Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark

Apache Spark

Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 1000000 - Partitions: 500 - Group By Test Time

Apache Spark

Row Count: 1000000 - Partitions: 500 - Repartition Test Time

Apache Spark

Row Count: 1000000 - Partitions: 500 - Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Group By Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Repartition Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Group By Test Time

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Repartition Test Time

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 10000000 - Partitions: 100 - Group By Test Time

Apache Spark

Row Count: 10000000 - Partitions: 100 - Repartition Test Time

Apache Spark

Row Count: 10000000 - Partitions: 100 - Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time

Apache Spark

Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark

Apache Spark

Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 10000000 - Partitions: 500 - Group By Test Time

Apache Spark

Row Count: 10000000 - Partitions: 500 - Repartition Test Time

Apache Spark

Row Count: 10000000 - Partitions: 500 - Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 20000000 - Partitions: 100 - Group By Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Repartition Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time

Apache Spark

Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark

Apache Spark

Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 20000000 - Partitions: 500 - Group By Test Time

Apache Spark

Row Count: 20000000 - Partitions: 500 - Repartition Test Time

Apache Spark

Row Count: 20000000 - Partitions: 500 - Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time

Apache Spark

Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark

Apache Spark

Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Group By Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Repartition Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Group By Test Time

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Repartition Test Time

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Group By Test Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Repartition Test Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark

Apache Spark

Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark

Apache Spark

Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark

Apache Spark

Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe

etcd

Test: PUT - Connections: 50 - Clients: 100

etcd

Test: PUT - Connections: 50 - Clients: 100 - Average Latency

etcd

Test: PUT - Connections: 100 - Clients: 100

etcd

Test: PUT - Connections: 100 - Clients: 100 - Average Latency

etcd

Test: PUT - Connections: 50 - Clients: 1000

etcd

Test: PUT - Connections: 50 - Clients: 1000 - Average Latency

etcd

Test: PUT - Connections: 500 - Clients: 100

etcd

Test: PUT - Connections: 500 - Clients: 100 - Average Latency

etcd

Test: PUT - Connections: 100 - Clients: 1000

etcd

Test: PUT - Connections: 100 - Clients: 1000 - Average Latency

etcd

Test: PUT - Connections: 500 - Clients: 1000

etcd

Test: PUT - Connections: 500 - Clients: 1000 - Average Latency

etcd

Test: RANGE - Connections: 50 - Clients: 100

etcd

Test: RANGE - Connections: 50 - Clients: 100 - Average Latency

etcd

Test: RANGE - Connections: 100 - Clients: 100

etcd

Test: RANGE - Connections: 100 - Clients: 100 - Average Latency

etcd

Test: RANGE - Connections: 50 - Clients: 1000

etcd

Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency

etcd

Test: RANGE - Connections: 500 - Clients: 100

etcd

Test: RANGE - Connections: 500 - Clients: 100 - Average Latency

etcd

Test: RANGE - Connections: 100 - Clients: 1000

etcd

Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency

etcd

Test: RANGE - Connections: 500 - Clients: 1000

etcd

Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency

SQLite

Threads / Copies: 1

LevelDB

Benchmark: Hot Read

LevelDB

Benchmark: Fill Sync

LevelDB

Benchmark: Fill Sync

LevelDB

Benchmark: Overwrite

LevelDB

Benchmark: Overwrite