

NVIDIA RTX 5000 Ada Generation wins 10 of 12 benchmarks, averaging 145.4% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
The gap is widest in Z-Image Turbo, where NVIDIA RTX 5000 Ada Generation leads by 339% (1.35 vs 5.925 images/min); the closest fight is Qwen3 4B (77% apart); VRAM decides part of this one: NVIDIA RTX 5000 Ada Generation runs 10 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
| Benchmark | NVIDIA GeForce RTX 4060 Ti 16GB | NVIDIA RTX 5000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 96.29 | 170.72 | -44% |
| Llama 3.1 8B tok/s | 57.09 | 103.18 | -45% |
| Qwen2.5-Coder 14B tok/s | 31.12 | 56.66 | -45% |
| Qwen3 32B tok/s | 0 | 25.88 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 4.58 | 12.74 | -64% |
| Z-Image Turbo images/min | 1.35 | 5.925 | -77% |
| FLUX.1 dev images/min | 0 | 1.286 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0.793 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| LTX-Video (distilled) frames/s | 1.5 | 3.23 | -54% |
| Wan 2.2 5B (720p) frames/s | 0 | 0.32 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4060 Ti 16GB is faster on 0 of 1; NVIDIA RTX 5000 Ada Generation on 1.
| Workflow | NVIDIA GeForce RTX 4060 Ti 16GB | NVIDIA RTX 5000 Ada Generation | Difference |
|---|---|---|---|
| Full codebase review | 32.1 min | 17.6 min | NVIDIA RTX 5000 Ada Generation 1.82x faster |
| NVIDIA GeForce RTX 4060 Ti 16GB | NVIDIA RTX 5000 Ada Generation | |
|---|---|---|
| VRAM | 16GB | 32GB |
| Architecture | Ada Lovelace | Ada Lovelace |
| Memory bandwidth | 288 GB/s | 576 GB/s |
| Boost clock | 2,535 MHz | 2,550 MHz |
| TDP | 165 W | 250 W |
| Launch MSRP | $499 | $4,000 |
| Release | 2023-07-18 | 2023-08-09 |
NVIDIA GeForce RTX 4060 Ti 16GB full review · NVIDIA RTX 5000 Ada Generation full review · All AI & Machine Learning rankings