OptiScaler ports AMD FSR 4.1.2 to Intel Arc XMX cores
The OptiScaler modding community has ported AMD FSR 4.1.2 neural upscaling models to Intel Arc GPUs using modified INT8 DLLs optimized for Xe Matrix Extensions (XMX). Community tests cited by Wccftech and IT之家 found FSR 4.1.2 Lite approaching native XeSS SR timing, including 101.5 FPS and 0.75 ms upscaling on an Arc A770 versus 101.1 FPS and 0.84 ms for XeSS SR. Testers also reported better image quality than XeSS SR, but that claim remains subjective, while compatibility is experimental and limited to a DirectX 12 execution path.
The unofficial port uses Intel's dedicated XMX hardware to run AMD neural upscaling efficiently, giving Arc owners another experimental alternative to native XeSS SR without requiring a GPU vendor switch.
The modding community has achieved another impressive feat, this time bringing AMD's latest FSR 4.1.2 upscaling models to Intel Arc GPUs with hardware acceleration through their dedicated XMX cores. Better yet, early community testing suggests that the optimized implementation can deliver noticeably better image quality than Intel's own XeSS Super Resolution machine learning-based Temporal Anti-Aliasing and Upscaling (TAAU) solution, all while maintaining remarkably similar upscaling costs.
The breakthrough comes courtesy of the OptiScaler modding community, which has been experimenting with modified FSR 4 INT8 DLLs optimized for Intel's Xe Matrix Extensions (XMX) hardware. While AMD's FSR 4 upscaling models could already run on unsupported GPUs through OptiScaler, taking advantage of Intel's dedicated AI acceleration hardware makes the technology substantially more efficient than relying on conventional shader-based execution.
The timing is particularly interesting, as AMD recently expanded official FSR 4.1 support to older Radeon architectures and integrated graphics through its Adrenalin 26.10.1 driver. The newly available FSR 4.1.2 Lite model — an INT8 model which primarily targets mobile chips, handhelds, and APUs (such as specific Ryzen AI and Z-series/handheld platforms) rather than standard desktop RDNA 2 GPUs — is especially promising for less powerful GPUs, employing a smaller neural network to substantially reduce computational requirements while retaining much of the image quality associated with the full model.
#AMD#Intel#OptiScaler#AMD FSR 4.1.2#AMD FSR 4.1.2 Lite#Intel XeSS SR#Intel Arc A770#Intel Arc B580#Intel Xe Matrix Extensions