EPYC Linux 5.9

2 x AMD EPYC 7272 12-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009224-FI-EPYCLINUX47
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

HPC - High Performance Computing 5 Tests
Machine Learning 2 Tests
MPI Benchmarks 2 Tests
OpenMPI Tests 2 Tests
Scientific Computing 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 5.8-rc6
September 22 2020
  10 Hours, 49 Minutes
Linux 5.8.10
September 22 2020
  4 Hours, 13 Minutes
Linux 5.9-rc6+
September 22 2020
  10 Hours, 55 Minutes
Invert Hiding All Results Option
  8 Hours, 39 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


EPYC Linux 5.9 Suite 1.0.0 System Test suite extracted from EPYC Linux 5.9. pts/ncnn-1.0.1 -1 Target: CPU - Model: vgg16_int8 pts/kripke-1.0.0 pts/mnn-1.0.1 Model: resnet-v2-50 pts/ncnn-1.0.1 -1 Target: CPU - Model: resnet50_int8 pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder pts/mnn-1.0.1 Model: inception-v3 pts/gpaw-1.0.0 carbon-nanotube Input: Carbon Nanotube pts/ncnn-1.0.1 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.1 -1 Target: CPU - Model: mobilenetv2_yolov3 pts/ncnn-1.0.1 -1 Target: CPU - Model: resnet18_int8 pts/ncnn-1.0.1 -1 Target: CPU - Model: googlenet_int8 pts/ncnn-1.0.1 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.1 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.1 -1 Target: CPU - Model: squeezenet pts/ncnn-1.0.1 -1 Target: CPU - Model: mobilenet_v3 pts/ncnn-1.0.1 -1 Target: CPU - Model: squeezenet_int8 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/mnn-1.0.1 Model: SqueezeNetV1.0