NVIDIA GeForce RTX 3090 vs NVIDIA RTX PRO 5000 Blackwell, AI & Machine Learning Comparison
NVIDIA RTX PRO 5000 Blackwell wins 12 of 12 benchmarks, averaging 89.2% 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 155% (0.22 vs 0.56 frames/s); the closest fight is Qwen3 32B (43% 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 3090 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.67 | 298.78 | -31% |
| Llama 3.1 8B tok/s | 144.9 | 208.3 | -30% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 114.63 | -31% |
| Qwen3 32B tok/s | 37.95 | 54.27 | -30% |
| Llama 3.3 70B tok/s | 0 | 26.29 | n/a |
| Stable Diffusion XL images/min | 7.46 | 17.46 | -57% |
| Z-Image Turbo images/min | 3.825 | 9.075 | -58% |
| 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 | 2.17 | 4.58 | -53% |
| Wan 2.2 5B (720p) frames/s | 0.22 | 0.56 | -61% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 0 of 4; NVIDIA RTX PRO 5000 Blackwell on 4.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 8.3 min | 3.4 min | NVIDIA RTX PRO 5000 Blackwell 2.46x faster |
| Full codebase review | 12.7 min | 8.7 min | NVIDIA RTX PRO 5000 Blackwell 1.45x faster |
| 60-second AI short film | 15.2 min | 6.7 min | NVIDIA RTX PRO 5000 Blackwell 2.25x faster |
| 10 short social clips | 42.4 min | 16.5 min | NVIDIA RTX PRO 5000 Blackwell 2.57x faster |
Specifications compared
| NVIDIA GeForce RTX 3090 | NVIDIA RTX PRO 5000 Blackwell | |
|---|---|---|
| VRAM | 24GB | 48GB |
| Architecture | Ampere (GA102) | Blackwell |
| Memory bandwidth | 936.2 GB/s | 1344 GB/s |
| Boost clock | 1,695 MHz | 2,377 MHz |
| TDP | 350 W | 300 W |
| Launch MSRP | $1,499 | $4,500 |
| Release | 2020-09-24 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3090 or NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA RTX PRO 5000 Blackwell performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 89.2% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3090 and NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA GeForce RTX 3090 has 24GB VRAM and a 350W TDP, while NVIDIA RTX PRO 5000 Blackwell has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 3090 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 3090. 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 3090 and NVIDIA RTX PRO 5000 Blackwell?
- Wan 2.2 5B (720p): NVIDIA RTX PRO 5000 Blackwell leads by roughly 34% (0.22 vs 0.56 frames/s) in our testing.
NVIDIA GeForce RTX 3090 full review · NVIDIA RTX PRO 5000 Blackwell full review · All AI & Machine Learning rankings