NVIDIA GeForce RTX 4070 vs NVIDIA TITAN V, AI & Machine Learning Comparison
NVIDIA TITAN V wins 10 of 26 benchmarks, averaging 0% faster.
Both cards' numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
What the numbers say
The gap is widest in Stable Diffusion XL, where NVIDIA GeForce RTX 4070 leads by 49% (6.6 vs 4.44 images/min); the closest fight is Gemma 4 12B (1% apart).
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4070 | NVIDIA TITAN V | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 244.68 | 192.05 | +27% |
| LFM2.5 2.6B tok/s | 230.17 | 210.37 | +9% |
| Granite 4.1 3B tok/s | 170.86 | 146.45 | +17% |
| Nemotron 3 Nano 4B tok/s | 145.5 | 149.84 | -3% |
| Qwen3 4B tok/s | 149.68 | 141.06 | +6% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 105.21 | 114.27 | -8% |
| Llama 3 8B tok/s | 93.2 | 102.27 | -9% |
| Llama 3.1 8B tok/s | 93.16 | 102.28 | -9% |
| Qwen3 8B tok/s | 90.94 | 98.34 | -8% |
| Nemotron Nano 9B v2 tok/s | 66.16 | 75.62 | -13% |
| Ornith 1.5 9B tok/s | 80.73 | 85.44 | -6% |
| Gemma 4 12B tok/s | 58.51 | 59.29 | -1% |
| Qwen2.5-Coder 14B tok/s | 50.74 | 56.25 | -10% |
| Qwen3 14B tok/s | 51.46 | 57.47 | -10% |
| Gemma 4 26B A4B tok/s | 0 | 0 | n/a |
| Qwen3 30B A3B tok/s | 0 | 0 | n/a |
| Gemma 4 31B tok/s | 0 | 0 | n/a |
| Qwen3 32B tok/s | 0 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.6 | 4.44 | +49% |
| Z-Image Turbo images/min | 0 | 0 | n/a |
| 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 | 0 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4070 is faster on 0 of 1; NVIDIA TITAN V on 1.
| Workflow | NVIDIA GeForce RTX 4070 | NVIDIA TITAN V | Difference |
|---|---|---|---|
| Full codebase review | 19.7 min | 17.8 min | NVIDIA TITAN V 1.11x faster |
Specifications compared
| NVIDIA GeForce RTX 4070 | NVIDIA TITAN V | |
|---|---|---|
| VRAM | 12GB | 12GB |
| Transistors | 35,800M | 21,100M |
| Die size | 294.5 mm² | 815 mm² |
| Process node | 4 nm | 12 nm |
| Transistor density | 121.6 M/mm² | 25.9 M/mm² |
| Architecture | Ada Lovelace | Volta (GV100) |
| Memory bandwidth | 504 GB/s | 652.8 GB/s |
| Boost clock | 2,475 MHz | 1,455 MHz |
| TDP | 200 W | 250 W |
| Launch MSRP | $599 | $2,999 |
| Release | 2023-04-13 | 2017-12-07 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4070 or NVIDIA TITAN V?
- NVIDIA TITAN V performs better for ai & machine learning, winning 10 of 26 benchmarks in our suite with an average 0% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4070 and NVIDIA TITAN V?
- NVIDIA GeForce RTX 4070 has 12GB VRAM and a 200W TDP, while NVIDIA TITAN V has 12GB VRAM and a 250W TDP.
- Where is the biggest performance difference between NVIDIA GeForce RTX 4070 and NVIDIA TITAN V?
- Stable Diffusion XL: NVIDIA GeForce RTX 4070 leads by roughly 49% (6.6 vs 4.44 images/min) in our testing.
NVIDIA GeForce RTX 4070 full review · NVIDIA TITAN V full review · All AI & Machine Learning rankings