PHOTO SUPREME VS OPEN SOURCE HOW TO
PHOTO SUPREME VS OPEN SOURCE FREE

As with DLSS, there are four modes commonly available: ultra quality, quality, balanced, and performance. The FSR algorithm basically uses the shaders that are part of all modern GPUs to do the heavy lifting.

PHOTO SUPREME VS OPEN SOURCE FREE

Also, FSR is open-source, meaning others are free to adopt it, modify it, etc. We've tested it on Intel's UHD 630, AMD GPUs going back as far as the RX 500-series, and Nvidia GPUs from the GTX 900-series, and it worked on all of them. The biggest is that FSR can run on pretty much any relatively modern GPU. While that may not sound as impressive as DLSS, FSR does have some pretty major advantages. Basically, it upscales an image using a spatial algorithm (it only looks at the current frame), and then has some edge detection and sharpening filters to improve the overall look - or if you want specifics, it's Lanczos upscaling with edge detection. It's a post-processing algorithm that has been designed to upscale and enhance frames, but without all of the deep learning stuff, tensor cores, and massive amounts of compute. AMD FSR OverviewĪMD's FidelityFX Super Resolution involves far less computational work. In practice, it seems games have a bit of leeway in their rendered resolution. Nvidia offers four DLSS modes: Quality mode renders at half the target resolution, balanced renders at one third the target resolution, performance uses one fourth the resolution, and ultra performance is one ninth the final resolution.

PHOTO SUPREME VS OPEN SOURCE HOW TO

The net result is that an RTX 2070 has a potential 59.7 TFLOPS of FP16 compute, while the RTX 3070 has a potential 163 TFLOPS of FP16 compute.Īll of that computational power gets used to upscale and enhanced frames using inputs from previous frames, the lower resolution current frame, and an AI network trained on how to make lower resolution images look like they were rendered at a higher resolution. The RTX 30-series also supports sparsity, which basically means that the hardware can skip multiplication by zero and effectively double its performance. The RTX GPUs use FP16 (16-bit floating point) operations, and each tensor core on the RTX 20-series can work with 64 separate pieces of data, while the RTX 30-series GPUs can work on 128 chunks of data. The basic idea is to create special-purpose hardware that has enough precision combined with tons of compute to make the training and inference processes associated with artificial intelligence run better. Tensor operations aren't something Nvidia invented, as they've been used and discussed in machine learning circles for a while now. To that end, Nvidia added tensor core hardware to it's RTX 20-series GPUs, and basically doubled down on the tensor core performance with the RTX 30-series. Nvidia created DLSS to improve performance without drastically reducing image quality, but just as important, Nvidia wanted a good way for modern games to render at lower resolutions and then upscale, so that things like real-time ray tracing would be more viable on mainstream hardware.

DLSS and FSR tackle this problem in very different ways, which we'll briefly cover here before getting into the results of our comparisons. Image quality, and perhaps more importantly, image quality while reaching high frame rates, is what we really want. There's more to life than pure performance, though we do track that in our GPU benchmarks hierarchy. This will allow us to compare performance scaling between the different rendering modes, as well as comparing image quality. We've also tested on one AMD and one Nvidia GPU for each game. We've selected four games that each support both technologies, so we can provide direct comparisons between them.

With several months' worth of FSR integration into games, and over three years of increasing DLSS use among games and game engines, we're now equipped to shed a bit more light on how the two technologies compare.

Nvidia DLSS (Deep Learning Super Sampling) and AMD FSR ( FidelityFX Super Resolution) are two similar seeming technologies that are part of the debate among who makes the best graphics cards.

Photo supreme vs open source