Averages 167 FPS at 1440p over our 9-game suite, anchored estimate · high-refresh 1440p, this card pushes fast esports monitors properly
167 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, GeForce RTX 4080 Super averages 167 FPS. The ceiling is Counter-Strike 2 at 272 FPS; the floor is Alan Wake 2 at 106 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 | 109 FPS | 87 | 6.75 GB | 304 W | Estimated |
| Red Dead Redemption 2 1440p · Favor Quality | 143 FPS | 111 | 6.57 GB | 298 W | Estimated |
| Alan Wake 2 1440p · High | 106 FPS | 87 | 9.49 GB | 294 W | Estimated |
| Baldur's Gate 3 1440p · Ultra | 208 FPS | 170 | 7 GB | 307 W | Estimated |
| Black Desert Online 1440p · Remastered | 198 FPS | 127 | 5.29 GB | 304 W | Estimated |
| Counter-Strike 2 1440p · Very High | 272 FPS | 149 | 7.13 GB | 236 W | Estimated |
| Diablo 4 1440p · Ultra | 187 FPS | 142 | 9.84 GB | 301 W | Estimated |
| Escape from Tarkov 1440p · Ultra | 160 FPS | 104 | 14.72 GB | 253 W | Estimated |
| The Witcher 3 1440p · Ultra | 119 FPS | 100 | 7.05 GB | 304 W | Estimated |
| Architecture | Ada Lovelace |
| CUDA cores | 10,240 |
| VRAM | 16GB GDDR6X |
| Memory bus | 256-bit |
| Memory bandwidth | 736 GB/s |
| Boost clock | 2,505 MHz |
| TDP | 320 W |
| Process | TSMC 4nm |
| Interface | PCIe 4.0 x16 |
| Release date | 2024-01-31 |
| Launch MSRP | $999 |
GeForce RTX 4080 Super averages 167 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). #4 of 82 desktop cards in this vertical.
| GPU | Relative | % | Avg FPS |
|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 140% | 234 | |
| NVIDIA GeForce RTX 4090 | 119% | 198 | |
| GeForce RTX 5080 | 111% | 185 | |
| GeForce RTX 4080 Super | 100% | 167 | |
| AMD Radeon RX 7900 XTX | 98% | 164 | |
| NVIDIA GeForce RTX 4080 | 98% | 163 | |
| AMD Radeon RX 7900 XT | 88% | 147 | |
| NVIDIA GeForce RTX 3090 Ti | 86% | 143 |
Same card, other workloads: GeForce RTX 4080 Super 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 87% of the 76 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 | 14.2 min | 33.05 Wh | measured |
Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).
This card is $999 to buy. The cheapest listed rate on RunPod is $0.280/hour, but that is the floor: we budget $0.336/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 2,973 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 | $245 | 4.1 years |
| 8 hours a day, working on it | 2,920 | $981 | 1.0 years |
| 24/7, always-on agent | 8,760 | $2,943 | 4.1 months |
At steady usage this card pays for itself inside a normal ownership window. 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.