NVIDIA GeForce RTX 4090 vs NVIDIA RTX PRO 5000 Blackwell, AI & Machine Learning Comparison
NVIDIA RTX PRO 5000 Blackwell wins 11 of 12 benchmarks, averaging 17.1% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Wan 2.2 5B (720p), where NVIDIA RTX PRO 5000 Blackwell leads by 30% (0.43 vs 0.56 frames/s); the closest fight is LTX-Video (distilled) (3% apart); VRAM decides part of this one: NVIDIA RTX PRO 5000 Blackwell runs 12 of our 12 AI workloads while the other card runs 8, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4090 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 260.54 | 298.78 | -13% |
| Llama 3.1 8B tok/s | 171.29 | 208.3 | -18% |
| Qwen2.5-Coder 14B tok/s | 95.12 | 114.63 | -17% |
| Qwen3 32B tok/s | 44.28 | 54.27 | -18% |
| Llama 3.3 70B tok/s | 0 | 26.29 | n/a |
| Stable Diffusion XL images/min | 16.28 | 17.46 | -7% |
| Z-Image Turbo images/min | 7.425 | 9.075 | -18% |
| FLUX.1 dev images/min | 0 | 4.2 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 1.8 | n/a |
| Qwen-Image-Edit images/min | 0 | 0.8 | n/a |
| LTX-Video (distilled) frames/s | 4.7 | 4.58 | +3% |
| Wan 2.2 5B (720p) frames/s | 0.43 | 0.56 | -23% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4090 is faster on 0 of 4; NVIDIA RTX PRO 5000 Blackwell on 4.
| Workflow | NVIDIA GeForce RTX 4090 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 5 min | 3.4 min | NVIDIA RTX PRO 5000 Blackwell 1.48x faster |
| 60-second AI short film | 7.9 min | 6.7 min | NVIDIA RTX PRO 5000 Blackwell 1.18x faster |
| Full codebase review | 10.5 min | 8.7 min | NVIDIA RTX PRO 5000 Blackwell 1.21x faster |
| 10 short social clips | 22.7 min | 16.5 min | NVIDIA RTX PRO 5000 Blackwell 1.37x faster |
Specifications compared
| NVIDIA GeForce RTX 4090 | NVIDIA RTX PRO 5000 Blackwell | |
|---|---|---|
| VRAM | 24GB | 48GB |
| Architecture | Ada Lovelace | Blackwell |
| Memory bandwidth | 1008 GB/s | 1344 GB/s |
| Boost clock | 2,520 MHz | 2,377 MHz |
| TDP | 450 W | 300 W |
| Launch MSRP | $1,599 | $4,500 |
| Release | 2022-10-12 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4090 or NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA RTX PRO 5000 Blackwell performs better for ai & machine learning, winning 11 of 12 benchmarks in our suite with an average 17.1% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4090 and NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA GeForce RTX 4090 has 24GB VRAM and a 450W TDP, while NVIDIA RTX PRO 5000 Blackwell has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 4090 and NVIDIA RTX PRO 5000 Blackwell?
- For AI, yes, NVIDIA RTX PRO 5000 Blackwell fits 4 more of our 12 workloads than NVIDIA GeForce RTX 4090. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between NVIDIA GeForce RTX 4090 and NVIDIA RTX PRO 5000 Blackwell?
- Wan 2.2 5B (720p): NVIDIA RTX PRO 5000 Blackwell leads by roughly 13% (0.43 vs 0.56 frames/s) in our testing.
NVIDIA GeForce RTX 4090 full review · NVIDIA RTX PRO 5000 Blackwell full review · All AI & Machine Learning rankings