| Kyuu said: What happened to FSR4 being as good as it is because it's "Machine Learning" based? Does this have a higher performance penalty compared to its ML version? Is it still better than PSSR? (what even is the point of PSSR? lmao). |
It is an ML model. Just quantized to INT8 instead of FP8 like the officially released FSR4.
Think of these models as a bunch of multiplications of collections of numbers (matrix multiplication.)
You can encode more information by using floating points (decimal numbers of various precision) than integers (whole numbers), but sometimes that doesn't really matter too much for the perceivable performance or conversely you might benefit from having a lower parameter model with more precise primitives (which seems to be why AMD went with FP8 in the end.)
What makes FSR4 (in its final FP8 form) unrealistic on pre-RDNA 4 hardware is the fact that native FP8 acceleration was implemented with RDNA4. RDNA2 supports INT8 arithmetic natively.
Last edited by sc94597 - on 17 September 2025
