GPU comparison · 1080p benchmark
RTX 5080 16GB recorded 538 FPS against 452 FPS for RTX 4080 16GB. These are continuous 1080p benchmark averages, not predicted FPS in any particular game.
RTX 4080 16GB
452Benchmark FPS at 1080p- Our rating
- 82.5 / 100
- Graphics memory
- 16GB
- Released
- November 2022
- GPUsed cards tested
- 27
RTX 5080 16GB
538Benchmark FPS at 1080p- Our rating
- 87.7 / 100
- Graphics memory
- 16GB
- Released
- January 2025
- GPUsed cards tested
- 28
Change either GPU in the comparison tool
What does this comparison mean?
Both the RTX 4080 and RTX 5080 carry 16GB, while the newer Blackwell card leads this workload. The replacement improves the recorded average without adding memory headroom, so capacity alone cannot justify the swap.
Both variants have 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 4080 16GB
The RTX 4080 is the original 16GB Ada Lovelace model released in November 2022, distinct from the later RTX 4080 Super.
RTX 5080 16GB
The RTX 5080 is a 16GB Blackwell desktop model. NVIDIA documented its launch in January 2025.
Release and feature sources: RTX 4080 16GB source · RTX 5080 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.