14900k tues

Tests for a future article. Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 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 2403268-PTS-14900KTU66
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
March 26
  1 Hour, 13 Minutes
b
March 26
  59 Minutes
Invert Hiding All Results Option
  1 Hour, 6 Minutes
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):


14900k tues, "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: VGG-16", Higher Results Are Better "a",6.08,6.07,6.08 "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: AlexNet", Higher Results Are Better "a",21.66,21.68,21.73 "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: VGG-16", Higher Results Are Better "a",13,13.04,12.89 "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: VGG-16", Higher Results Are Better "a",13.31,13.31,13.29 "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: VGG-16", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: AlexNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: AlexNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: AlexNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: GoogLeNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: AlexNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 512 - Model: AlexNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: GoogLeNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: GoogLeNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: GoogLeNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: GoogLeNet", Higher Results Are Better "a", "b", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 512 - Model: GoogLeNet", Higher Results Are Better "a", "b", "Blender 4.1 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "a", "b", "Blender 4.1 - Blend File: Junkshop - Compute: CPU-Only", Lower Results Are Better "a", "b", "Blender 4.1 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "a", "b", "Blender 4.1 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "a", "b", "Blender 4.1 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "a", "b", "Blender 4.1 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "a", "b",