GPU comparison · 1080p benchmark
RX 7900 XT 20GB recorded 440 FPS against 168 FPS for RTX 2070 Super 8GB. These are continuous 1080p benchmark averages, not predicted FPS in any particular game.
RTX 2070 Super 8GB
168Benchmark FPS at 1080p- Our rating
- 58.3 / 100
- Graphics memory
- 8GB
- Released
- July 2019
- GPUsed cards tested
- 107
RX 7900 XT 20GB
440Benchmark FPS at 1080p- Our rating
- 81.7 / 100
- Graphics memory
- 20GB
- Released
- December 2022
- GPUsed cards tested
- 18
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What does this comparison mean?
The RX 7900 XT is a large step beyond the RTX 2070 Super here, increasing memory from 8GB to 20GB. Keep it separate from the 24GB RX 7900 XTX when checking listings and prices.
RTX 2070 Super 8GB has 8GB and RX 7900 XT 20GB has 20GB 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
RTX 2070 Super 8GB
The RTX 2070 Super is an 8GB Turing model released in July 2019 as part of NVIDIA's RTX Super range.
RX 7900 XT 20GB
The RX 7900 XT is a 20GB GDDR6 RDNA 3 card, released in December 2022. The separate XTX model has 24GB.
Release and feature sources: RTX 2070 Super 8GB source · RX 7900 XT 20GB 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.