GPU comparison · 1080p benchmark
RTX 5070 Ti 16GB recorded 443 FPS against 278 FPS for RTX 3080 10GB. These are continuous 1080p benchmark averages, not predicted FPS in any particular game.
RTX 3080 10GB
278Benchmark FPS at 1080p- Our rating
- 69.6 / 100
- Graphics memory
- 10GB
- Released
- September 2020
- GPUsed cards tested
- 209
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 6GB over the original RTX 3080 10GB and has a clear recorded lead. The comparison uses the 16GB Ti, rather than the 12GB RTX 5070, and does not stand in for the separate 12GB RTX 3080.
RTX 3080 10GB has 10GB 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
RTX 3080 10GB
This RTX 3080 is the original Ampere configuration with 10GB of GDDR6X, launched in September 2020, rather than the later 12GB model.
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: RTX 3080 10GB 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.