

NVIDIA RTX 6000 Ada Generation wins 8 of 8 benchmarks, averaging 65.8% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
The gap is widest in Qwen2.5-Coder 14B, where NVIDIA RTX 6000 Ada Generation leads by 71% (51.23 vs 87.51 tok/s); the closest fight is Qwen3 4B (58% apart); VRAM decides part of this one: NVIDIA RTX 6000 Ada Generation runs 9 of our 12 AI workloads while the other card runs 3, models that don't fit score zero.
| Benchmark | NVIDIA GeForce RTX 4070 Super | NVIDIA RTX 6000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 152.84 | 241.33 | -37% |
| Llama 3.1 8B tok/s | 93.62 | 157.89 | -41% |
| Qwen2.5-Coder 14B tok/s | 51.23 | 87.51 | -41% |
| Qwen3 32B tok/s | 0 | 39.87 | n/a |
| Llama 3.3 70B tok/s | 0 | 18.4 | n/a |
| Z-Image Turbo images/min | 0 | 5.1 | n/a |
| FLUX.1 dev images/min | 0 | 2.229 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.029 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4070 Super is faster on 0 of 1; NVIDIA RTX 6000 Ada Generation on 1.
| Workflow | NVIDIA GeForce RTX 4070 Super | NVIDIA RTX 6000 Ada Generation | Difference |
|---|---|---|---|
| Full codebase review | 19.5 min | 11.4 min | NVIDIA RTX 6000 Ada Generation 1.71x faster |
| NVIDIA GeForce RTX 4070 Super | NVIDIA RTX 6000 Ada Generation | |
|---|---|---|
| VRAM | 12GB | 48GB |
| Architecture | Ada Lovelace | Ada Lovelace |
| Memory bandwidth | 504 GB/s | 960 GB/s |
| Boost clock | 2,475 MHz | 2,505 MHz |
| TDP | 220 W | 300 W |
| Launch MSRP | $599 | $6,799 |
| Release | 2024-01-17 | 2022-12-03 |
NVIDIA GeForce RTX 4070 Super full review · NVIDIA RTX 6000 Ada Generation full review · All AI & Machine Learning rankings