What Is DLSS vs FSR? Game Upscaling Explained

The problem upscaling solves

Rendering games at high resolutions like 4K is demanding, and effects like ray tracing make it harder, so frame rates suffer. Upscaling technologies offer a clever workaround: instead of rendering every pixel at full resolution, the GPU renders the frame at a lower resolution (which is much faster) and then intelligently reconstructs a higher-resolution image that looks close to native. The result is higher frame rates with only a modest loss in image quality, sometimes barely perceptible. This has become a central feature of modern gaming graphics.

What DLSS is

DLSS (Deep Learning Super Sampling) is NVIDIA's upscaling technology, and its distinguishing feature is that it uses AI. Trained neural networks reconstruct the high-resolution image from the lower-resolution render, using information like motion data and prior frames to add detail and sharpness. Because it relies on dedicated AI hardware on NVIDIA's GPUs, DLSS runs on those cards specifically. Its AI approach has generally been praised for producing very clean, detailed results, often looking remarkably close to native resolution.

What FSR is

FSR (FidelityFX Super Resolution) is AMD's upscaling technology, and its notable trait is openness and broad compatibility: it is designed to work across a wide range of GPUs, not just AMD's own, because it does not depend on proprietary AI hardware in the same way. Earlier versions used algorithmic (spatial and temporal) techniques rather than trained neural networks, though the technology has evolved over successive generations. Its strength is accessibility, letting more players on more hardware benefit from upscaling.

How they compare

The traditional summary: DLSS often has a slight image-quality edge thanks to its AI reconstruction and dedicated hardware, while FSR wins on compatibility by running on a broader set of GPUs. In practice, both have improved rapidly, and the gap varies by game and version. There are also competing options (such as Intel's XeSS), and many games support more than one, letting you pick whichever looks and performs best on your hardware. The choice is often decided by which GPU you own.

The trade-offs

Upscaling is close to free performance, but not entirely without cost. Because the image is reconstructed from fewer rendered pixels, it can occasionally introduce artifacts, slight blurring, shimmering on fine detail, or ghosting on fast motion, though these have diminished with newer versions and higher quality settings. Most implementations offer quality presets that let you trade image fidelity for more speed. At the higher-quality settings, the visual compromise is usually small relative to the frame-rate gain.

Should you use it?

Generally, yes, if your game supports it and you want more performance. Upscaling is one of the most effective ways to raise frame rates, especially at high resolutions or with ray tracing enabled, and at good quality settings the image usually looks excellent. Try it and judge for yourself: if you cannot tell the difference from native and your frame rate jumps, it is a clear win. If you spot artifacts that bother you, use a higher-quality preset or turn it off. It has become a standard, valuable tool in modern gaming.

Related on Skillo

See also: What is ray tracing? Realistic game lighting explained, What is FPS in gaming? Frame rate explained.

Sources

• Deep Learning Super Sampling - Wikipedia
• FidelityFX Super Resolution - Wikipedia

Published date reflects the original event date (2025-09-09). This article is original Skillo editorial written from the sources above; facts were verified in September 2026.