Nvidia has released first benchmarks for the GeForce RTX 2080, based on its new Turing architecture. The company's numbers suggest that the new card delivers circa 2x the performance of the last-gen GTX 1080 on certain games. Much of this remarkable gen-on-gen leap is derived via new Nvidia technology called DLSS - deep learning super-sampling. The same benchmarks running without the technique in play, along with titles not supporting DLSS, show performance increases more along the lines of 30 to 50 per cent, with select titles posting even higher increases.
The move to release benchmarks comes in the wake of Nvidia's presentation on Monday evening, where CEO Jen-Hsun Huang's presentation concentrated almost exclusively on the ray-tracing and deep-learning capabilities of the new range of GPUs, with only the most oblique references to standard 3D performance. Releasing these benchmarks can be seen as an attempt to reassure users that the power of the ray tracing hardware and the deep learning AI Tensor cores comes in addition to the big leap in performance, not instead of it.
Four of the benchmarks specify that the performance gain is with the title running under HDR, the implication being that the boost may not be quite as pronounced running in standard SDR, but it is the DLSS numbers that are likely to raise eyebrows as the boost to performance is so profound. At an Nvidia press event hosted by the firm today, we saw a demonstration of the technology in action, with the Unreal Engine 4 Infiltrator demo running at 4K resolution side-by-side on systems using GTX 1080 Ti and RTX 2080 Ti. A frame-rate counter was active on both, showing the Pascal card running at around 35 frames per second, with the RTX 2080 Ti delivering twice the performance level across the entire demo - which does seem to confirm Nvidia's claims.
from Eurogamer.net https://ift.tt/2w7d8u1
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