11GB · AI Score 2.6/100 · anchored estimate vs 51 measured cards
2.6 AI Score Includes estimates
We have not run GeForce GTX 1080 Ti on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure (confidence: moderate). On Llama 3.1 8B (Q4_K_M) GeForce GTX 1080 Ti should deliver about 83.9 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 11GB. For image generation, SDXL should run near 0.84 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 8 of the 12 workloads won't fit on 11GB at the tested precision, Qwen3 32B, Llama 3.3 70B, Z-Image Turbo, FLUX.1-dev and others. We publish those as hard gates rather than quietly dropping to a smaller quant.
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Qwen3 4B | 129.6 tok/s | estimated | Est. |
| Llama 3.1 8B | 83.9 tok/s | estimated | Est. |
| Qwen2.5-Coder 14B | 45.2 tok/s | estimated | Est. |
| Qwen3 32B | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Llama 3.3 70B | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Stable Diffusion XL | 1.68 images/min | estimated | Est. |
| Z-Image Turbo | ✕ Won't fit | VRAM-gated at this precision | Est. |
| FLUX.1 dev | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| FLUX.1 Kontext dev | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Qwen-Image-Edit | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| LTX-Video (distilled) | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Wan 2.2 5B (720p) | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Architecture | Pascal (GP102) |
| CUDA cores | 3,584 |
| VRAM | 11GB GDDR5X |
| Memory bus | 352-bit |
| Memory bandwidth | 484 GB/s |
| Boost clock | 1,582 MHz |
| TDP | 250 W |
| Process | 16nm |
| Interface | PCIe 3.0 x16 |
| Release date | 2017-03-10 |
| Launch MSRP | $699 |
GeForce GTX 1080 Ti scores 2.6/100, #72 of 102. It ran 4 of 12; 8 exceeded its 11GB. Figures are anchored estimates, not measurements, we flag that on every row.
100% = this card, AI & Machine Learning headline metric (AI Score). #33 of 61 desktop cards in this vertical.
| GPU | Relative | % | AI Score |
|---|---|---|---|
| NVIDIA GeForce RTX 4070 | 119% | 3.1 | |
| NVIDIA GeForce RTX 4070 Ti | 115% | 3 | |
| Intel Arc A770 Limited Edition | 112% | 2.9 | |
| NVIDIA TITAN V | 112% | 2.9 | |
| GeForce GTX 1080 Ti | 100% | 2.6 | |
| NVIDIA GeForce RTX 3060 | 100% | 2.6 | |
| NVIDIA TITAN Xp | 100% | 2.6 | |
| AMD Radeon RX 7700 XT | 96% | 2.5 | |
| NVIDIA TITAN X (Pascal) | 96% | 2.5 |
Same card, other workloads: GeForce GTX 1080 Ti Gaming benchmarks
← All AI & Machine Learning GPU rankings
| Transistors | 11,800 million |
| Die size | 471 mm² |
| Fabricated by | TSMC |
| Transistor density | 25.1 million per mm² |
Denser than 37% 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 | 22.1 min | n/a | estimate, 0 of 1 stage 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).