ryzen tf

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800 XT on Ubuntu 22.04 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 2210089-PTS-RYZENTF105
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

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
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
Performance Per
Dollar
Date
Run
  Test
  Duration
A
October 07 2022
  1 Hour, 34 Minutes
B
October 07 2022
  32 Minutes
C
October 08 2022
  32 Minutes
Invert Hiding All Results Option
  52 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):


ryzen tf, "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: AlexNet", Higher Results Are Better "A",172.62,172.78,172.72 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: AlexNet", Higher Results Are Better "A",258.61,258.09,258.38 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: AlexNet", Higher Results Are Better "A",342.42,342.19,341.55 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: AlexNet", Higher Results Are Better "A",433.46,433.71,433.21 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 512 - Model: AlexNet", Higher Results Are Better "A",450.67,450.86,451.11 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: GoogLeNet", Higher Results Are Better "A",142.39,142.48,142.63 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "A",42.23,42.25,42.26 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: GoogLeNet", Higher Results Are Better "A",144.5,144.86,144.81 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "A",43.61,43.68,43.7 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: GoogLeNet", Higher Results Are Better "A",142.61,142.74,142.47 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "A",43.98,43.97,43.9 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: GoogLeNet", Higher Results Are Better "A",139.49,139.47,139.2 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: ResNet-50", Higher Results Are Better "A",44.53,44.53,44.5 "B", "C", "TensorFlow 2.10 - Device: CPU - Batch Size: 512 - Model: GoogLeNet", Higher Results Are Better "A",139.61,139.66,139.56 "B", "C",