Averages 166 FPS at 1440p over our 9-game suite, anchored estimate · high-refresh 1440p, this card pushes fast esports monitors properly
166 Avg FPS Includes estimates
Treat these as estimates. They are interpolated from our own measured results on comparable silicon, and they carry the estimate label until this card is benched. Across our 9-game suite at 1440p, NVIDIA GeForce RTX 4080 averages 166 FPS. The ceiling is Counter-Strike 2 at 266 FPS; the floor is Alan Wake 2 at 104 FPS, a 2.6x spread that tells you how engine-dependent this class of card is. In practical terms that means high-refresh 1440p, this card pushes fast esports monitors properly. Under load we logged a peak of 307W against the 320W rating.
| Benchmark | Result | 1% Low | VRAM Used | Power | Data |
|---|---|---|---|---|---|
| Cyberpunk 2077 1440p · Ultra | 123 FPS | 99 | 6.75 GB | 304 W | Estimated |
| Red Dead Redemption 2 1440p · Favor Quality | 140 FPS | 108 | 6.57 GB | 298 W | Estimated |
| Alan Wake 2 1440p · High | 104 FPS | 86 | 9.49 GB | 294 W | Estimated |
| Baldur's Gate 3 1440p · Ultra | 203 FPS | 166 | 7 GB | 307 W | Estimated |
| Black Desert Online 1440p · Remastered | 193 FPS | 123 | 5.29 GB | 304 W | Estimated |
| Counter-Strike 2 1440p · Very High | 266 FPS | 146 | 7.13 GB | 236 W | Estimated |
| Diablo 4 1440p · Ultra | 182 FPS | 139 | 9.84 GB | 301 W | Estimated |
| Escape from Tarkov 1440p · Ultra | 153 FPS | 101 | 14.72 GB | 253 W | Estimated |
| The Witcher 3 1440p · Ultra | 128 FPS | 107 | 7.05 GB | 304 W | Estimated |
| Architecture | Ada Lovelace (AD103) |
| CUDA cores | 9,728 |
| VRAM | 16GB GDDR6X |
| Memory bus | 256-bit |
| Memory bandwidth | 716.8 GB/s |
| Boost clock | 2,505 MHz |
| TDP | 320 W |
| Process | 4nm |
| Interface | PCIe 4.0 x16 |
| Release date | 2022-11-16 |
| Launch MSRP | $1,199 |
NVIDIA GeForce RTX 4080 averages 166 FPS at 1440p on our suite. Treat these as estimates. They are interpolated from our own measured results on comparable silicon, and they carry the estimate label until this card is benched.
100% = this card, Gaming headline metric (Avg FPS). #5 of 82 desktop cards in this vertical.
| GPU | Relative | % | Avg FPS |
|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 154% | 256 | |
| NVIDIA GeForce RTX 4090 | 128% | 213 | |
| GeForce RTX 5080 | 114% | 190 | |
| GeForce RTX 4080 Super | 102% | 170 | |
| NVIDIA GeForce RTX 4080 | 100% | 166 | |
| AMD Radeon RX 7900 XTX | 99% | 164 | |
| AMD Radeon RX 7900 XT | 89% | 147 | |
| NVIDIA GeForce RTX 3090 Ti | 86% | 143 | |
| NVIDIA GeForce RTX 4070 Ti Super | 86% | 143 |
Same card, other workloads: NVIDIA GeForce RTX 4080 AI benchmarks, LLM tokens/sec, image generation & VRAM fit
| Transistors | 45,900 million |
| Die size | 378.6 mm² |
| Process node | 4 nm |
| Fabricated by | TSMC |
| Transistor density | 121.2 million per mm² |
Denser than 94% of the 746 cards we have silicon data for. Density is the clearest measure of what a process node bought: a card that gained it without growing the die got its speed from the fab rather than the architecture.
Silicon figures from Wikipedia (CC BY-SA 4.0). Benchmarks on this page are our own. Compare every chip.
Whole-job timings, composed from our measured per-model results on this card.
| Workflow | Time | Energy | Basis |
|---|---|---|---|
| Full codebase review | 14.3 min | 44.74 Wh | measured |
| Animate a batch of images | 25.1 min | 101.75 Wh | measured |
Can't run: Product photo shoot (needs FLUX.1 Kontext dev), Photo restoration batch (needs FLUX.1 Kontext dev), Restore and enlarge photos (needs FLUX.1 Kontext dev), Character sheet, 12 poses (needs FLUX.1 dev), Short social clips (needs Qwen3 32B), 60-second AI short film (needs Qwen3 32B), 24-frame storyboard (needs Qwen3 32B), 6-panel comic page (needs Qwen3 32B), Long-form article batch (needs Llama 3.3 70B).
This card is $1,199 to buy. The cheapest listed rate on Vast.ai is $0.228/hour, but that is the floor: we budget $0.274/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 4,382 GPU-hours. Below it you are paying for idle silicon.
| How you would use it | GPU-hours a year | Rental cost a year | Time to break even |
|---|---|---|---|
| 2 hours a day, hobby | 730 | $200 | 6.0 years |
| 8 hours a day, working on it | 2,920 | $799 | 1.5 years |
| 24/7, always-on agent | 8,760 | $2,397 | 6.0 months |
At hobby usage this card is very unlikely to pay for itself before it is superseded. Rent it. Rental figures include a 20% premium over the cheapest listed rate. Ignores electricity, resale and the fact that a rented card can be a newer one tomorrow.
Cheapest of the RunPod and Vast on-demand rates we see, sampled daily. Spot and interruptible pricing runs lower.