ss6
AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and NVIDIA Quadro P1000 4GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2108043-IB-SS660798082&sro&gru.
Sysbench
Test: CPU
Algebraic Multi-Grid Benchmark
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: HWB Color Space
RAMspeed SMP
Type: Add - Benchmark: Integer
RAMspeed SMP
Type: Scale - Benchmark: Integer
RAMspeed SMP
Type: Average - Benchmark: Integer
RAMspeed SMP
Type: Add - Benchmark: Floating Point
RAMspeed SMP
Type: Scale - Benchmark: Floating Point
RAMspeed SMP
Type: Average - Benchmark: Floating Point
CacheBench
Test: Read
CacheBench
Test: Write
CacheBench
Test: Read / Modify / Write
IPC_benchmark
Type: TCP Socket - Message Bytes: 128
IPC_benchmark
Type: TCP Socket - Message Bytes: 1024
IPC_benchmark
Type: Unnamed Pipe - Message Bytes: 128
IPC_benchmark
Type: Unnamed Pipe - Message Bytes: 1024
IPC_benchmark
Type: FIFO Named Pipe - Message Bytes: 128
IPC_benchmark
Type: FIFO Named Pipe - Message Bytes: 1024
IPC_benchmark
Type: Unnamed Unix Domain Socket - Message Bytes: 128
IPC_benchmark
Type: Unnamed Unix Domain Socket - Message Bytes: 1024
SciMark
Computational Test: Composite
SciMark
Computational Test: Monte Carlo
SciMark
Computational Test: Fast Fourier Transform
SciMark
Computational Test: Sparse Matrix Multiply
SciMark
Computational Test: Dense LU Matrix Factorization
SciMark
Computational Test: Jacobi Successive Over-Relaxation
Sysbench
Test: RAM / Memory
Apache Benchmark
Static Web Page Serving
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
Test / Class: EP.D
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
Phoronix Test Suite v10.8.5