rk1-mainline-nvme
rk1-mainline-nvme testing on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2405147-NE-RK1MAINLI70&grs.
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Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 1024
Stargate Digital Audio Workstation
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Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 512
Stargate Digital Audio Workstation
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Stargate Digital Audio Workstation
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Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
Scale Factor: 10 - Q30
Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
Scale Factor: 10 - Q27
Apache Spark TPC-DS
Scale Factor: 10 - Q26
Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
Scale Factor: 1 - Q63
Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Apache Spark TPC-DS
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Scale Factor: 1 - Q03
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Scale Factor: 1 - Q02
Apache Spark TPC-DS
Scale Factor: 1 - Q01
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
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Apache Spark
Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time
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Row Count: 40000000 - Partitions: 1000 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time
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Row Count: 20000000 - Partitions: 2000 - Repartition Test Time
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Row Count: 20000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time
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Row Count: 20000000 - Partitions: 1000 - Repartition Test Time
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Row Count: 20000000 - Partitions: 1000 - Group By Test Time
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Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Repartition Test Time
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Row Count: 10000000 - Partitions: 1000 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Repartition Test Time
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Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Apache CouchDB
Bulk Size: 500 - Inserts: 3000 - Rounds: 30
Apache CouchDB
Bulk Size: 500 - Inserts: 1000 - Rounds: 30
Apache CouchDB
Bulk Size: 300 - Inserts: 3000 - Rounds: 30
Apache CouchDB
Bulk Size: 300 - Inserts: 1000 - Rounds: 30
Apache CouchDB
Bulk Size: 100 - Inserts: 3000 - Rounds: 30
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 30
etcd
Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 500 - Clients: 1000
etcd
Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 100 - Clients: 1000
etcd
Test: RANGE - Connections: 500 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 500 - Clients: 100
etcd
Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency
etcd
Test: RANGE - Connections: 50 - Clients: 1000
etcd
Test: RANGE - Connections: 100 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 100 - Clients: 100
etcd
Test: RANGE - Connections: 50 - Clients: 100 - Average Latency
etcd
Test: RANGE - Connections: 50 - Clients: 100
etcd
Test: PUT - Connections: 500 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 500 - Clients: 1000
etcd
Test: PUT - Connections: 100 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 100 - Clients: 1000
etcd
Test: PUT - Connections: 500 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 500 - Clients: 100
etcd
Test: PUT - Connections: 50 - Clients: 1000 - Average Latency
etcd
Test: PUT - Connections: 50 - Clients: 1000
etcd
Test: PUT - Connections: 100 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 100 - Clients: 100
etcd
Test: PUT - Connections: 50 - Clients: 100 - Average Latency
etcd
Test: PUT - Connections: 50 - Clients: 100
ClickHouse
100M Rows Hits Dataset, Third Run
ClickHouse
100M Rows Hits Dataset, Second Run
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
SQLite
Threads / Copies: 1
N-Queens
Elapsed Time
m-queens
Time To Solve
asmFish
1024 Hash Memory, 26 Depth
TSCP
AI Chess Performance
LeelaChessZero
Backend: BLAS
Timed Wasmer Compilation
Time To Compile
Timed Erlang/OTP Compilation
Time To Compile
Timed Eigen Compilation
Time To Compile
Build2
Time To Compile
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
Timed CPython Compilation
Build Configuration: Default
Timed PHP Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
Timed MPlayer Compilation
Time To Compile
Timed LLVM Compilation
Build System: Unix Makefiles
Timed LLVM Compilation
Build System: Ninja
Timed Linux Kernel Compilation
Build: allmodconfig
Timed Linux Kernel Compilation
Build: defconfig
Timed ImageMagick Compilation
Time To Compile
Timed Godot Game Engine Compilation
Time To Compile
Timed Gem5 Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed Apache Compilation
Time To Compile
Apache Spark TPC-DS
Scale Factor: 50 - Q90
Apache Spark TPC-DS
Scale Factor: 10 - Q87
Apache Spark TPC-DS
Scale Factor: 10 - Q99
Apache Spark TPC-DS
Scale Factor: 10 - Q65
Apache Spark TPC-DS
Scale Factor: 10 - Q39
Apache Spark TPC-DS
Scale Factor: 1 - Q14
Apache Spark
Row Count: 40000000 - Partitions: 2000 - Group By Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Group By Test Time
Stockfish
Total Time
Phoronix Test Suite v10.8.5