NVIDIA RTX A5000 vs NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Comparison
NVIDIA RTX A5000 wins 13 of 25 benchmarks, averaging 3.3% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen3 14B, where NVIDIA RTX A5000 leads by 18% (66.81 vs 56.63 tok/s); the closest fight is LFM2.5 2.6B (4% apart).
Benchmark results head-to-head
| Benchmark | NVIDIA RTX A5000 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 257.43 | 271.18 | -5% |
| LFM2.5 2.6B tok/s | 264.34 | 254.94 | +4% |
| Granite 4.1 3B tok/s | 190.84 | 182.59 | +5% |
| Nemotron 3 Nano 4B tok/s | 184.27 | 174.55 | +6% |
| Qwen3 4B tok/s | 171.68 | 179.58 | -4% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 134.06 | 117.35 | +14% |
| Llama 3 8B tok/s | 118.86 | 104.38 | +14% |
| Llama 3.1 8B tok/s | 119.86 | 112.36 | +7% |
| Qwen3 8B tok/s | 114.76 | 101.59 | +13% |
| Nemotron Nano 9B v2 tok/s | 88.72 | 82.32 | +8% |
| Ornith 1.5 9B tok/s | 102.92 | 91.88 | +12% |
| Gemma 4 12B tok/s | 72.05 | 64.44 | +12% |
| Qwen2.5-Coder 14B tok/s | 64.89 | 60.62 | +7% |
| Qwen3 14B tok/s | 66.81 | 56.63 | +18% |
| Gemma 4 26B A4B tok/s | 128.7 | 134.51 | -4% |
| Qwen3 30B A3B tok/s | 178.63 | 185.31 | -4% |
| Qwen3 32B tok/s | 30.49 | 27.8 | +10% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 7.46 | 8.56 | -13% |
| Z-Image Turbo images/min | 4.05 | 4.425 | -8% |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| LTX-Video (distilled) frames/s | 2.7 | 3.1 | -13% |
| Wan 2.2 5B (720p) frames/s | 0.24 | 0.26 | -8% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA RTX A5000 is faster on 1 of 4; NVIDIA RTX PRO 4000 Blackwell on 3.
| Workflow | NVIDIA RTX A5000 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 7 min | 6.4 min | NVIDIA RTX PRO 4000 Blackwell 1.09x faster |
| 60-second AI short film | 11.8 min | 10.2 min | NVIDIA RTX PRO 4000 Blackwell 1.15x faster |
| Full codebase review | 15.4 min | 16.5 min | NVIDIA RTX A5000 1.07x faster |
| Short social clips | 37.2 min | 34.2 min | NVIDIA RTX PRO 4000 Blackwell 1.09x faster |
Specifications compared
| NVIDIA RTX A5000 | NVIDIA RTX PRO 4000 Blackwell | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Transistors | 28,300M | 45,600M |
| Die size | 628.4 mm² | 378 mm² |
| Process node | 8 nm | 4 nm |
| Transistor density | 45 M/mm² | 120.6 M/mm² |
| Architecture | Ampere (GA102 derivative) | Blackwell |
| Memory bandwidth | 768 GB/s | 672 GB/s |
| Boost clock | 1,695 MHz | 2,617 MHz |
| TDP | 230 W | 140 W |
| Launch MSRP | $2,250 | $1,500 |
| Release | 2021-04-12 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA RTX A5000 or NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA RTX A5000 performs better for ai & machine learning, winning 13 of 25 benchmarks in our suite with an average 3.3% advantage.
- What are the main hardware differences between NVIDIA RTX A5000 and NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA RTX A5000 has 24GB VRAM and a 230W TDP, while NVIDIA RTX PRO 4000 Blackwell has 24GB VRAM and a 140W TDP.
- Where is the biggest performance difference between NVIDIA RTX A5000 and NVIDIA RTX PRO 4000 Blackwell?
- Qwen3 14B: NVIDIA RTX A5000 leads by roughly 18% (66.81 vs 56.63 tok/s) in our testing.
NVIDIA RTX A5000 full review · NVIDIA RTX PRO 4000 Blackwell full review · All AI & Machine Learning rankings