NVIDIA RTX 4000 SFF Ada Generation — Benchmarks & Specs

Bottom line: how fast is the RTX 4000 SFF Ada Generation?

At 1440p Reviewer fixed settings (raster), the RTX 4000 SFF Ada Generation averages 99 fps in Forza Horizon 5, per Jisaku Hibi. For local LLM inference it generates 24.7 tokens/sec running qwen2.5:14b at q4_K_M under llama.cpp, per LocalScore.ai. In Geekbench 5 OpenCL it scores 124,926 points, per technical.city. Its 20 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is qwen2.5:32b (32B parameters, IQ4_XS), generating 16.4 tokens/sec under llama.cpp, per Hardware Corner. That run's source does not report a context length; the Will-It-Run matrix sizes each model at its listed quantization with an ~8K context, and by that measure Gemma 2 27B at Q4_K_M is the largest that fits in 20 GB.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.