

NVIDIA GeForce RTX 3090 wins 5 of 9 benchmarks, averaging 58% faster.
NVIDIA Quadro RTX 6000 (Turing)'s numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
The gap is widest in Llama 3.1 8B, where NVIDIA GeForce RTX 3090 leads by 72% (144.9 vs 84.21 tok/s); the closest fight is Stable Diffusion XL (26% apart).
| Benchmark | NVIDIA GeForce RTX 3090 | NVIDIA Quadro RTX 6000 (Turing) | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.67 | 125.23 | +65% |
| Llama 3.1 8B tok/s | 144.9 | 84.21 | +72% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 46.54 | +69% |
| Qwen3 32B tok/s | 37.95 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 7.46 | 5.94 | +26% |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 1 of 1; NVIDIA Quadro RTX 6000 (Turing) on 0.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA Quadro RTX 6000 (Turing) | Difference |
|---|---|---|---|
| Full codebase review | 12.7 min | 21.5 min | NVIDIA GeForce RTX 3090 1.69x faster |
| NVIDIA GeForce RTX 3090 | NVIDIA Quadro RTX 6000 (Turing) | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ampere (GA102) | Turing (TU102) |
| Memory bandwidth | 936.2 GB/s | 672 GB/s |
| Boost clock | 1,695 MHz | 1,770 MHz |
| TDP | 350 W | 260 W |
| Launch MSRP | $1,499 | $6,300 |
| Release | 2020-09-24 | 2018-08-14 |
NVIDIA GeForce RTX 3090 full review · NVIDIA Quadro RTX 6000 (Turing) full review · All AI & Machine Learning rankings