213 FPS average at 1440p across 9 games, anchored estimate · high-refresh 1440p, this card pushes fast esports monitors properly
213 Avg FPS Includes estimates
This card is still waiting on bench time. Until it gets there the figures are anchored estimates, interpolated from cards we measured on the same suite. Across our 9-game suite at 1440p, NVIDIA GeForce RTX 4090 averages 213 FPS. The ceiling is Counter-Strike 2 at 349 FPS; the floor is The Witcher 3 at 124 FPS, a 2.8x 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 432W against the 450W rating.
| Benchmark | Result | 1% Low | VRAM Used | Power | Data |
|---|---|---|---|---|---|
| Cyberpunk 2077 1440p · Ultra | 156 FPS | 125 | 6.75 GB | 428 W | Estimated |
| Red Dead Redemption 2 1440p · Favor Quality | 184 FPS | 143 | 6.57 GB | 418 W | Estimated |
| Alan Wake 2 1440p · High | 136 FPS | 112 | 9.49 GB | 414 W | Estimated |
| Baldur's Gate 3 1440p · Ultra | 267 FPS | 218 | 7 GB | 432 W | Estimated |
| Black Desert Online 1440p · Remastered | 254 FPS | 162 | 5.29 GB | 428 W | Estimated |
| Counter-Strike 2 1440p · Very High | 349 FPS | 191 | 7.13 GB | 331 W | Estimated |
| Diablo 4 1440p · Ultra | 240 FPS | 183 | 9.84 GB | 423 W | Estimated |
| Escape from Tarkov 1440p · Ultra | 208 FPS | 131 | 15.08 GB | 356 W | Estimated |
| The Witcher 3 1440p · Ultra | 124 FPS | 104 | 7.05 GB | 428 W | Estimated |
| Architecture | Ada Lovelace |
| CUDA cores | 16,384 |
| VRAM | 24GB GDDR6X |
| Memory bus | 384-bit |
| Memory bandwidth | 1008 GB/s |
| Boost clock | 2,520 MHz |
| TDP | 450 W |
| Process | 4nm |
| Interface | PCIe 4.0 x16 |
| Release date | 2022-10-12 |
| Launch MSRP | $1,599 |
NVIDIA GeForce RTX 4090 averages 213 FPS at 1440p on our suite. This card is still waiting on bench time. Until it gets there the figures are anchored estimates, interpolated from cards we measured on the same suite.
100% = this card, Gaming headline metric (Avg FPS). #2 of 82 desktop cards in this vertical.
| GPU | Relative | % | Avg FPS |
|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 120% | 256 | |
| NVIDIA GeForce RTX 4090 | 100% | 213 | |
| GeForce RTX 5080 | 89% | 190 | |
| GeForce RTX 4080 Super | 80% | 170 | |
| NVIDIA GeForce RTX 4080 | 78% | 166 | |
| AMD Radeon RX 7900 XTX | 77% | 164 |
Same card, other workloads: NVIDIA GeForce RTX 4090 AI benchmarks, LLM tokens/sec, image generation & VRAM fit
| Transistors | 76,300 million |
| Die size | 608.4 mm² |
| Process node | 4 nm |
| Fabricated by | TSMC |
| Transistor density | 125.4 million per mm² |
Denser than 97% 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 |
|---|---|---|---|
| 24-frame storyboard | 3.8 min | 24.33 Wh | all 2 stages measured |
| 60-second AI short film | 5.8 min | 21.08 Wh | all 3 stages measured |
| Full codebase review | 10.5 min | 30.47 Wh | measured |
| Animate a batch of images | 17.8 min | n/a | measured |
| Short social clips | 21.5 min | 125.78 Wh | all 3 stages 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), 6-panel comic page (needs FLUX.1 dev), Long-form article batch (needs Llama 3.3 70B).
This card is $1,599 to buy. The cheapest listed rate on RunPod is $0.340/hour, but that is the floor: we budget $0.408/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 3,919 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 | $298 | 5.4 years |
| 8 hours a day, working on it | 2,920 | $1,191 | 1.3 years |
| 24/7, always-on agent | 8,760 | $3,574 | 5.4 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.