DLSS works to improve the image quality of your game by rendering it at a lower resolution (this is what improves performance) and then attempting to reconstruct details based on ground-truth data obtained from NVIDIA through driver updates. Originally designed to accelerate building and training of deep-learning neural nets by accelerating matrix-multiplication, tensor cores can also be made to handle complex math within their limited fixed-function instruction set. While traditional pre- and post-processing anti-aliasing methods invariably levy a performance penalty on your machine in exchange for better visuals, DLSS not only strives to improve visuals on par with methods such as TAA (temporal anti-aliasing), but also improves performance of the game itself.ĭLSS is the first major gaming application of the tensor cores on NVIDIA's "Turing" GPUs. Deep Learning Super Sampling, or DLSS, is a fascinating method of improving image quality. Today, we have with us our fourth performance review for Battlefield V, as DICE implemented the other killer feature of NVIDIA's RTX 20-series: DLSS. A couple of weeks later, NVIDIA and DICE made good on their promise to improve performance of the game with DXR enabled. A week later, Battlefield V was updated with DXR support, and we promptly put out its performance numbers, which were a disaster for both DICE and NVIDIA. Our day-one review walks you through the game's performance the day it launched, without DirectX Raytracing (DXR).
IntroductionBattlefield V continues to be the most heavily chronicled PC game launch in recent times, as developer EA-DICE adds new technologies in piecemeal fashion.
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