Averages 143 FPS at 1440p over our 9-game suite, anchored estimate · smooth 100+ FPS 1440p gaming across demanding AAA titles
143 Avg FPS Includes estimates
These figures are anchored estimates, interpolated against the cards we measured first-party on the same suite, and they stay labeled as estimates until this card runs. Across our 9-game suite at 1440p, NVIDIA GeForce RTX 4070 Ti Super averages 143 FPS. The ceiling is Counter-Strike 2 at 244 FPS; the floor is Alan Wake 2 at 90 FPS, a 2.7x spread that tells you how engine-dependent this class of card is. In practical terms that means smooth 100+ FPS 1440p gaming across demanding AAA titles. Under load we logged a peak of 285W against the 285W rating.
Anchored estimate, this card hasn't been through our test bench yet. Its numbers are interpolated from the cards that have, on the same suite and the same settings, and they'll be replaced with measured results once it runs.
| Benchmark | Result | 1% Low | VRAM Used | Power | Data |
|---|---|---|---|---|---|
| Alan Wake 2 1440p · Ultra | 90 FPS | 74 | 9.45 GB | 274 W | Estimated |
| Baldur's Gate 3 1440p · Ultra | 184 FPS | 143 | 6.43 GB | 285 W | Estimated |
| Black Desert Online 1440p · Ultra | 165 FPS | 78 | 4.59 GB | 279 W | Estimated |
| Counter-Strike 2 1440p · Ultra | 244 FPS | 134 | 5.91 GB | 251 W | Estimated |
| Cyberpunk 2077 1440p · Ultra | 108 FPS | 83 | 6.53 GB | 284 W | Estimated |
| Diablo 4 1440p · Ultra | 138 FPS | 94 | 11.3 GB | 283 W | Estimated |
| Escape from Tarkov 1440p · Ultra | 132 FPS | 93 | 14.13 GB | 255 W | Estimated |
| Red Dead Redemption 2 1440p · Ultra | 117 FPS | 93 | 6.51 GB | 269 W | Estimated |
| The Witcher 3 1440p · Ultra | 112 FPS | 85 | 5.99 GB | 280 W | Estimated |
| Architecture | Ada Lovelace (AD103) |
| CUDA cores | 8,448 |
| VRAM | 16GB GDDR6X |
| Memory bus | 256-bit |
| Memory bandwidth | 672 GB/s |
| Boost clock | 2,610 MHz |
| TDP | 285 W |
| Process | 4nm |
| Interface | PCIe 4.0 x16 |
| Release date | 2024-01-24 |
| Launch MSRP | $799 |
NVIDIA GeForce RTX 4070 Ti Super averages 143 FPS at 1440p on our suite. These figures are anchored estimates, interpolated against the cards we measured first-party on the same suite, and they stay labeled as estimates until this card runs.
100% = this card, Gaming headline metric (Avg FPS). #9 of 82 desktop cards in this vertical.
| GPU | Relative | % | Avg FPS |
|---|---|---|---|
| NVIDIA GeForce RTX 4080 | 116% | 166 | |
| AMD Radeon RX 7900 XTX | 115% | 164 | |
| AMD Radeon RX 7900 XT | 103% | 147 | |
| NVIDIA GeForce RTX 3090 Ti | 100% | 143 | |
| NVIDIA GeForce RTX 4070 Ti Super | 100% | 143 | |
| GeForce RTX 5070 Ti | 98% | 140 | |
| AMD Radeon RX 9070 XT | 96% | 137 | |
| NVIDIA GeForce RTX 4070 Ti | 95% | 136 | |
| AMD Radeon RX 6950 XT | 92% | 132 |
Same card, other workloads: NVIDIA GeForce RTX 4070 Ti 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 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 | 15.2 min | 50.72 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 $799 to buy. The cheapest listed rate on Vast.ai is $0.252/hour, but that is the floor: we budget $0.302/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 2,642 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 | $221 | 3.6 years |
| 8 hours a day, working on it | 2,920 | $883 | 10.9 months |
| 24/7, always-on agent | 8,760 | $2,649 | 3.6 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.