GPU comparison · 1080p benchmark
RTX 4090 24GB recorded 621 FPS against 195 FPS for RX 6700 XT 12GB. These are continuous 1080p benchmark averages, not predicted FPS in any particular game.
RX 6700 XT 12GB
195Benchmark FPS at 1080p- Our rating
- 61.4 / 100
- Graphics memory
- 12GB
- Released
- March 2021
- GPUsed cards tested
- 72
RTX 4090 24GB
621Benchmark FPS at 1080p- Our rating
- 92.2 / 100
- Graphics memory
- 24GB
- Released
- October 2022
- GPUsed cards tested
- 127
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What does this comparison mean?
This is a large change in performance tier: the RTX 4090 has twice the memory of the RX 6700 XT and a much higher result here. The physical size, PSU and cost of the exact 4090 deserve as much attention as the headline percentage.
RX 6700 XT 12GB has 12GB and RTX 4090 24GB has 24GB of graphics memory. Memory capacity, board dimensions, power connectors and the price of a particular used card are separate from this benchmark. Compare the exact item before deciding whether to upgrade.
The two GPUs in context
RX 6700 XT 12GB
AMD introduced the RX 6700 XT in March 2021 with RDNA 2 architecture and 12GB of GDDR6.
RTX 4090 24GB
The RTX 4090 launched in October 2022 with Ada Lovelace architecture and 24GB of GDDR6X.
Release and feature sources: RX 6700 XT 12GB source · RTX 4090 24GB source.
How the figures are compared
Both FPS figures come from the owner-supplied GPUsed benchmark dataset. GPUsed reports a continuous FurMark run at 1080p for its physical-card checks. The percentage compares the higher model average with the lower one using the original FPS values. Our rating uses a compressed scale, with the fastest GPU at 100; it is separate from the percentage difference. A benchmark result does not predict gaming FPS.
GPUsed reports its physical-card checks typically last 30 to 60 minutes while temperature and stability are checked. The owner supplied the model-level FPS workbook on 2 October 2026; this benchmark dataset was last reconciled 3 October 2026. Historical cards tested are separate from the number of FPS runs behind a model average. Full benchmark method.