rk1-emmc-compile
rk1-mainline-emmc testing on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2403111-NE-RK1EMMCCO97&gru.
LevelDB
Benchmark: Fill Sync
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Sequential Fill
LeelaChessZero
Backend: BLAS
TSCP
AI Chess Performance
Stockfish
Total Time
asmFish
1024 Hash Memory, 26 Depth
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
etcd
Test: PUT - Connections: 50 - Clients: 100
etcd
Test: PUT - Connections: 100 - Clients: 100
etcd
Test: PUT - Connections: 50 - Clients: 1000
etcd
Test: PUT - Connections: 500 - Clients: 100
etcd
Test: PUT - Connections: 100 - Clients: 1000
etcd
Test: PUT - Connections: 500 - Clients: 1000
etcd
Test: RANGE - Connections: 50 - Clients: 100
etcd
Test: RANGE - Connections: 100 - Clients: 100
etcd
Test: RANGE - Connections: 50 - Clients: 1000
etcd
Test: RANGE - Connections: 500 - Clients: 100
etcd
Test: RANGE - Connections: 100 - Clients: 1000
etcd
Test: RANGE - Connections: 500 - Clients: 1000
LevelDB
Benchmark: Hot Read
LevelDB
Benchmark: Fill Sync
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Read
LevelDB
Benchmark: Seek Random
LevelDB
Benchmark: Random Delete
LevelDB
Benchmark: Sequential Fill
etcd
Test: PUT - Connections: 50 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 100 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 50 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 500 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 100 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 500 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 50 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 100 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 500 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency
Timed Apache Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed Gem5 Compilation
Time To Compile
Timed Godot Game Engine Compilation
Time To Compile
Timed ImageMagick Compilation
Time To Compile
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Timed LLVM Compilation
Build System: Ninja
Timed LLVM Compilation
Build System: Unix Makefiles
Timed MPlayer Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
Timed CPython Compilation
Build Configuration: Default
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
Build2
Time To Compile
Timed Eigen Compilation
Time To Compile
Timed Erlang/OTP Compilation
Time To Compile
Timed Wasmer Compilation
Time To Compile
m-queens
Time To Solve
N-Queens
Elapsed Time
SQLite
Threads / Copies: 1
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: 20000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time
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
Apache Spark TPC-H
Scale Factor: 1 - Geometric Mean Of All Queries
Apache Spark TPC-H
Scale Factor: 1 - Q01
Apache Spark TPC-H
Scale Factor: 1 - Q02
Apache Spark TPC-H
Scale Factor: 1 - Q03
Apache Spark TPC-H
Scale Factor: 1 - Q04
Apache Spark TPC-H
Scale Factor: 1 - Q05
Apache Spark TPC-H
Scale Factor: 1 - Q06
Apache Spark TPC-H
Scale Factor: 1 - Q07
Apache Spark TPC-H
Scale Factor: 1 - Q08
Apache Spark TPC-H
Scale Factor: 1 - Q09
Apache Spark TPC-H
Scale Factor: 1 - Q10
Apache Spark TPC-H
Scale Factor: 1 - Q11
Apache Spark TPC-H
Scale Factor: 1 - Q12
Apache Spark TPC-H
Scale Factor: 1 - Q13
Apache Spark TPC-H
Scale Factor: 1 - Q14
Apache Spark TPC-H
Scale Factor: 1 - Q15
Apache Spark TPC-H
Scale Factor: 1 - Q16
Apache Spark TPC-H
Scale Factor: 1 - Q17
Apache Spark TPC-H
Scale Factor: 1 - Q18
Apache Spark TPC-H
Scale Factor: 1 - Q19
Apache Spark TPC-H
Scale Factor: 1 - Q20
Apache Spark TPC-H
Scale Factor: 1 - Q21
Apache Spark TPC-H
Scale Factor: 1 - Q22
Monkey Audio Encoding
WAV To APE
FLAC Audio Encoding
WAV To FLAC
LAME MP3 Encoding
WAV To MP3
Opus Codec Encoding
WAV To Opus Encode
WavPack Audio Encoding
WAV To WavPack
Phoronix Test Suite v10.8.5