Clear Linux vs. Ubuntu 24.04 vs. Fedora 40 Performance
Linux benchmarks by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2405096-NE-INTELLINU24&grs.
PyPerformance
Benchmark: python_startup
PHPBench
PHP Benchmark Suite
GraphicsMagick
Operation: HWB Color Space
Selenium
Benchmark: Speedometer 3.0 - Browser: Firefox
C-Ray
Resolution: 1080p - Rays Per Pixel: 16
C-Ray
Resolution: 4K - Rays Per Pixel: 16
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Resizing
Numpy Benchmark
SPECFEM3D
Model: Homogeneous Halfspace
OpenSSL
Algorithm: SHA256
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Noise-Gaussian
SPECFEM3D
Model: Mount St. Helens
RawTherapee
Total Benchmark Time
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
OpenSSL
Algorithm: SHA512
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
PyPerformance
Benchmark: go
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
Zstd Compression
Compression Level: 19 - Decompression Speed
FFmpeg
Encoder: libx265 - Scenario: Live
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Selenium
Benchmark: Kraken - Browser: Firefox
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Selenium
Benchmark: Jetstream 2 - Browser: Firefox
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
Embree
Binary: Pathtracer ISPC - Model: Crown
FFmpeg
Encoder: libx265 - Scenario: Platform
7-Zip Compression
Test: Compression Rating
Selenium
Benchmark: PSPDFKit WASM - Browser: Firefox
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
OpenSSL
Algorithm: ChaCha20
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
FFmpeg
Encoder: libx265 - Scenario: Upload
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
Zstd Compression
Compression Level: 19 - Compression Speed
7-Zip Compression
Test: Decompression Rating
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
x265
Video Input: Bosphorus 4K
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Blender
Blend File: Fishy Cat - Compute: CPU-Only
NAMD
Input: ATPase with 327,506 Atoms
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
Blender
Blend File: BMW27 - Compute: CPU-Only
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OpenSSL
Algorithm: AES-256-GCM
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Y-Cruncher
Pi Digits To Calculate: 1B
PyBench
Total For Average Test Times
PyTorch
Device: CPU - Batch Size: 32 - Model: ResNet-50
Phoronix Test Suite v10.8.5