The Iris Xe GPUs found in higher-end laptops are significantly more powerful, generally offering of UHD 730 in both synthetic and gaming benchmarks. The Iris Xe achieves this with up to 96 Execution Units versus the 24 EUs in the UHD 730, along with a more advanced architecture for mobile platforms. Users requiring more graphics horsepower should consider systems with Iris Xe or a discrete GPU.
Recommended. Includes Kernel 6.8+, which provides native support. Ubuntu 22.04 LTS (Jammy Jellyfish): Supported. Requires Kernel 5.15+. Legacy Versions (e.g., 18.04/20.04): May require updating to an OEM kernel linux-oem-20.04d
OpenGL vendor string: Intel OpenGL renderer string: Mesa Intel(R) UHD Graphics 730 (ADL-S GT1) OpenGL version string: 4.6 (Core Profile) Mesa 23.x.x Use code with caution. intel uhd graphics 730 ubuntu
To get the most out of your Intel UHD 730, choosing the right version of Ubuntu is critical.
The Intel UHD Graphics 730 is an integrated graphics processor (iGPU) found in 11th, 12th, 13th, and 14th-generation Intel desktop processors. For Linux users, this hardware provides a highly reliable, low-power visual solution. Because Intel develops and maintains open-source drivers directly within the Linux kernel, setting up the Intel UHD 730 on Ubuntu is generally a seamless experience. The Iris Xe GPUs found in higher-end laptops
Intel graphics drivers are open-source and built directly into the Linux kernel via the i915 (or newer xe ) kernel module. This means you do not need to download a manual installer from an external website.
Ubuntu’s default repositories prioritize stability over cutting-edge features. If you are a casual gamer looking for the latest performance patches, you can install the , which provides backported, stable graphics library updates: Recommended
Ships with kernel 6.8+ natively, offering mature, out-of-the-box support for UHD 730.
The output should list your driver profile ( iHD driver ) and display a long matrix of supported codecs, such as VAProfileH264Main , VAProfileVP9Profile0 , and VAProfileAV1Profile0 , along with their entry points ( VAEntrypointVLD for decoding). 3. Configure Applications for VA-API