ss4
Intel Core i9-7980XE testing with a ASRock X299E-ITX/ac (P1.60 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2107061-IB-SS491180652&export=pdf&gru&sro&rro.
Stress-NG
Test: MMAP
Stress-NG
Test: NUMA
Stress-NG
Test: MEMFD
Stress-NG
Test: Atomic
Stress-NG
Test: Crypto
Stress-NG
Test: Malloc
Stress-NG
Test: RdRand
Stress-NG
Test: Forking
Stress-NG
Test: SENDFILE
Stress-NG
Test: CPU Cache
Stress-NG
Test: CPU Stress
Stress-NG
Test: Semaphores
Stress-NG
Test: Matrix Math
Stress-NG
Test: Vector Math
Stress-NG
Test: Memory Copying
Stress-NG
Test: Socket Activity
Stress-NG
Test: Context Switching
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: System V Message Passing
Sysbench
Test: CPU
Algebraic Multi-Grid Benchmark
perf-bench
Benchmark: Memcpy 1MB
perf-bench
Benchmark: Memset 1MB
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
MBW
Test: Memory Copy - Array Size: 1024 MiB
MBW
Test: Memory Copy, Fixed Block Size - Array Size: 1024 MiB
Sysbench
Test: RAM / Memory
perf-bench
Benchmark: Epoll Wait
perf-bench
Benchmark: Futex Hash
perf-bench
Benchmark: Sched Pipe
perf-bench
Benchmark: Futex Lock-Pi
perf-bench
Benchmark: Syscall Basic
Apache Benchmark
Static Web Page Serving
OpenSSL
RSA 4096-bit Performance
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
Test / Class: EP.D
ctx_clock
Context Switch Time
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: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - 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: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - 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
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
Hackbench
Count: 16 - Type: Thread
Hackbench
Count: 16 - Type: Process
Schbench
Message Threads: 8 - Workers Per Message Thread: 16
Phoronix Test Suite v10.8.5