GPU comparison · 1080p benchmark
RX 6800 XT 16GB recorded 287 FPS against 171 FPS for GTX 1080 Ti 11GB. These are continuous 1080p benchmark averages, not predicted FPS in any particular game.
GTX 1080 Ti 11GB
171Benchmark FPS at 1080p- Our rating
- 58.7 / 100
- Graphics memory
- 11GB
- Released
- March 2017
- GPUsed cards tested
- 127
RX 6800 XT 16GB
287Benchmark FPS at 1080p- Our rating
- 70.3 / 100
- Graphics memory
- 16GB
- Released
- November 2020
- GPUsed cards tested
- 49
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What does this comparison mean?
The RX 6800 XT 16GB leads the GTX 1080 Ti 11GB and adds 5GB. This is an RDNA 2 alternative to the Pascal Ti, with cross-vendor application compatibility still a separate consideration from the recorded throughput.
GTX 1080 Ti 11GB has 11GB and RX 6800 XT 16GB has 16GB 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
GTX 1080 Ti 11GB
The GTX 1080 Ti is a Pascal card with 11GB of GDDR5X. NVIDIA documented availability from March 2017.
RX 6800 XT 16GB
The RX 6800 XT introduced RDNA 2 to this 16GB GDDR6 model in November 2020.
Release and feature sources: GTX 1080 Ti 11GB source · RX 6800 XT 16GB 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.