GPU comparison · 1080p benchmark
RTX 5070 Ti 16GB recorded 443 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 5070 Ti 16GB
443Benchmark FPS at 1080p- Our rating
- 81.9 / 100
- Graphics memory
- 16GB
- Released
- February 2025
- GPUsed cards tested
- 21
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What does this comparison mean?
The RTX 5070 Ti adds 4GB over the RX 6700 XT and records more than twice its FPS. It is the 16GB Ti specifically, and the change in vendor and board requirements needs checking alongside the result.
RX 6700 XT 12GB has 12GB and RTX 5070 Ti 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
RX 6700 XT 12GB
AMD introduced the RX 6700 XT in March 2021 with RDNA 2 architecture and 12GB of GDDR6.
RTX 5070 Ti 16GB
The RTX 5070 Ti is the 16GB GDDR7 Blackwell model. The separate non-Ti RTX 5070 carries 12GB.
Release and feature sources: RX 6700 XT 12GB source · RTX 5070 Ti 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.