POWER9 Blackbird
POWER9 testing with a PowerNV C1P9S01 REV 1.01 and ASPEED on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012211-HA-POWER9BLA00&grw&rdt.
Crypto++
Test: All Algorithms
Crypto++
Test: Keyed Algorithms
Crypto++
Test: Unkeyed Algorithms
Crypto++
Test: Integer + Elliptic Curve Public Key Algorithms
CLOMP
Static OMP Speedup
Compile Bench
Test: Compile
Compile Bench
Test: Initial Create
Compile Bench
Test: Read Compiled Tree
Basis Universal
Settings: ETC1S
Basis Universal
Settings: UASTC Level 0
Basis Universal
Settings: UASTC Level 2
Basis Universal
Settings: UASTC Level 3
Basis Universal
Settings: UASTC Level 2 + RDO Post-Processing
BRL-CAD
VGR Performance Metric
Monkey Audio Encoding
WAV To APE
WavPack Audio Encoding
WAV To WavPack
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
Dolfyn
Computational Fluid Dynamics
RNNoise
High Performance Conjugate Gradient
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
Coremark
CoreMark Size 666 - Iterations Per Second
Timed FFmpeg Compilation
Time To Compile
Timed Apache Compilation
Time To Compile
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: HWB Color Space
x264
H.264 Video Encoding
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
C-Ray
Total Time - 4K, 16 Rays Per Pixel
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
Smallpt
Global Illumination Renderer; 128 Samples
Build2
Time To Compile
Timed Eigen Compilation
Time To Compile
C-Blosc
Compressor: blosclz
PHPBench
PHP Benchmark Suite
SQLite Speedtest
Timed Time - Size 1,000
Node.js V8 Web Tooling Benchmark
simdjson
Throughput Test: Kostya
simdjson
Throughput Test: LargeRandom
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Phoronix Test Suite v10.8.4