Benchmarking Six Linux Distributions On The Framework Laptop 13 Pro

Written by Michael Larabel in Operating Systems on 3 August 2026 at 10:42 AM EDT. Page 5 of 9. 21 Comments.
PyTorch benchmark with settings of Device: CPU, Batch Size: 16, Model: ResNet-50. openSUSE Tumbleweed was the fastest.
PyTorch benchmark with settings of Device: CPU, Batch Size: 64, Model: ResNet-50. openSUSE Tumbleweed was the fastest.
PyTorch benchmark with settings of Device: CPU, Batch Size: 64, Model: ResNet-50. openSUSE Tumbleweed was the fastest.
PyTorch benchmark with settings of Device: CPU, Batch Size: 64, Model: ResNet-50. openSUSE Tumbleweed was the fastest.

Fedora Workstation 44 was also slower than the others when it came to running PyTorch on this Intel Panther Lake laptop.

OpenVINO benchmark with settings of Model: Face Detection FP16-INT8, Device: CPU, Benchmark Mode: Throughput. openSUSE Tumbleweed was the fastest.
OpenVINO benchmark with settings of Model: Face Detection FP16-INT8, Device: CPU, Benchmark Mode: Latency. CachyOS was the fastest.
OpenVINO benchmark with settings of Model: Age Gender Recognition Retail 0013 FP16-INT8, Device: CPU, Benchmark Mode: Throughput. openSUSE Tumbleweed was the fastest.
OpenVINO benchmark with settings of Model: Person Detection FP32, Device: CPU, Benchmark Mode: Throughput. openSUSE Tumbleweed was the fastest.
OpenVINO benchmark with settings of Model: Vehicle Detection FP16-INT8, Device: CPU, Benchmark Mode: Throughput. CachyOS was the fastest.
OpenVINO benchmark with settings of Model: Vehicle Detection FP16-INT8, Device: CPU, Benchmark Mode: Latency. CachyOS was the fastest.
OpenVINO benchmark with settings of Model: Vehicle Detection FP16, Device: CPU, Benchmark Mode: Throughput. Arch Linux was the fastest.
OpenVINO benchmark with settings of Model: Vehicle Detection FP16, Device: CPU, Benchmark Mode: Latency. CachyOS was the fastest.
OpenVINO benchmark with settings of Model: Face Detection Retail FP16-INT8, Device: CPU, Benchmark Mode: Throughput. CachyOS was the fastest.
OpenVINO benchmark with settings of Model: Face Detection Retail FP16-INT8, Device: CPU, Benchmark Mode: Latency. openSUSE Tumbleweed was the fastest.
OpenVINO benchmark with settings of Model: Road Segmentation ADAS FP16-INT8, Device: CPU, Benchmark Mode: Throughput. openSUSE Tumbleweed was the fastest.
OpenVINO benchmark with settings of Model: Road Segmentation ADAS FP16-INT8, Device: CPU, Benchmark Mode: Latency. openSUSE Tumbleweed was the fastest.

For the OpenVINO AI toolkit on this Framework 13 Laptop Pro, CachyOS and openSUSE Tumbleweed were racing for first place.

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