AMD Radeon RX 7900 XTX — Benchmarks & Specs

Bottom line: how fast is the Radeon RX 7900 XTX?

SpecPicks median: 125 tokens/sec across 6 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 45.3–170 tok/s), from llama.cpp GitHub issue (2 runs), GitHub / 1337hero (3 runs), LocalScore. At the $1,799.00 Amazon price of the cheapest linked listing (checked 2026-10-20 20:20 UTC; prices change), that is a SpecPicks Value Index of 69.7 tok/s per $1,000. At 1440p Max, the Radeon RX 7900 XTX averages 126 fps in Dragon's Dogma 2, per Gamers Nexus. For local LLM inference it generates 104.8 tokens/sec running qwen3.5:35b-a3b (a mixture-of-experts model with ~3B active parameters, so dense models of similar size run far slower) at Q4_0 under llama.cpp (Vulkan), per Hugging Face discussion (ubergarm/Qwen3.5-35B-A3B-GGUF) — llama-bench output. In 3DMark Fire Strike Extreme (Graphics) it scores 37,004 points, per Wccftech. Its 24 GB of VRAM is the binding constraint for local inference: the qwen3.5:35b-a3b run above (34.7B parameters) is the largest model on file at 4-bit quantization on this card. 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 DeepSeek-R1-Distill-Qwen 32B at Q4_K_M is the largest that fits in 24 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; the SpecPicks median is computed here from the runs it names, each a row in the AI table, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.