This repository contains the raw data, visualization scripts, and generated graphs for my article on eliminating laptop thermal throttling using high static pressure.
The project analyzes thermal data collected during heavy gaming workloads on an Intel i7-13650HX and RTX 4070 laptop. We compare standard setups against the IETS GT500 cooler to see if high static pressure is a viable solution for severe thermal limits.
In this repository, you will find:
data/: Raw CSV logs exported from HWiNFO during the Cinebench and gaming tests.images/: The final SVG graphs used in the article.notebooks/: Jupyter notebooks containing the Python code used to load, clean the data and generate the graphs.
In short, the experiment shows that using a high static pressure cooler drops CPU temperatures by nearly 30°C and completely stops thermal throttling under heavy loads.
To run the notebooks locally, you need Python installed on your machine. Create a virtual environment using your preferred tool to avoid installing dependencies globally.
uv venv --python 3.13
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install -r requirements.txtconda create -n venv python=3.13 -y
conda activate venv
pip install -r requirements.txtpython -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txtThis project is licensed under the MIT License. See the LICENSE file for details.
You can reach me through:
- Email: simad3647@gmail.com
- LinkedIn: Connect with me