NVIDIA GeForce RTX 4090 vs NVIDIA Titan RTX, AI & Machine Learning Comparison
NVIDIA GeForce RTX 4090 wins 20 of 24 benchmarks, averaging 62.8% faster.
NVIDIA Titan RTX's 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 4090 leads by 148% (16.28 vs 6.56 images/min); the closest fight is Nemotron Nano 9B v2 (51% apart).
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 4090 | NVIDIA Titan RTX | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 372.72 | 225.16 | +66% |
| LFM2.5 2.6B tok/s | 385.05 | 244.88 | +57% |
| Granite 4.1 3B tok/s | 276.62 | 172.09 | +61% |
| Nemotron 3 Nano 4B tok/s | 258.12 | 166.76 | +55% |
| Qwen3 4B tok/s | 260.54 | 158.13 | +65% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 188.59 | 122.74 | +54% |
| Llama 3 8B tok/s | 167.69 | 108.26 | +55% |
| Llama 3.1 8B tok/s | 171.29 | 107.39 | +60% |
| Qwen3 8B tok/s | 164.32 | 104.36 | +57% |
| Nemotron Nano 9B v2 tok/s | 121.89 | 80.66 | +51% |
| Ornith 1.5 9B tok/s | 144.04 | 93.68 | +54% |
| Gemma 4 12B tok/s | 103.57 | 66.58 | +56% |
| Qwen2.5-Coder 14B tok/s | 95.12 | 59.75 | +59% |
| Qwen3 14B tok/s | 96.37 | 62.47 | +54% |
| Gemma 4 26B A4B tok/s | 188.23 | 119.86 | +57% |
| Qwen3 30B A3B tok/s | 259.61 | 156.15 | +66% |
| Qwen3 32B tok/s | 44.28 | 28.36 | +56% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 16.28 | 6.56 | +148% |
| 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 | 6.696 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0.43 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 4090 is faster on 1 of 1; NVIDIA Titan RTX on 0.
| Workflow | NVIDIA GeForce RTX 4090 | NVIDIA Titan RTX | Difference |
|---|---|---|---|
| Full codebase review | 10.5 min | 16.7 min | NVIDIA GeForce RTX 4090 1.59x faster |
Specifications compared
| NVIDIA GeForce RTX 4090 | NVIDIA Titan RTX | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Transistors | 76,300M | 18,600M |
| Die size | 608.4 mm² | 754 mm² |
| Process node | 4 nm | 12 nm |
| Transistor density | 125.4 M/mm² | 24.7 M/mm² |
| Architecture | Ada Lovelace | Turing (TU102) |
| Memory bandwidth | 1008 GB/s | 672 GB/s |
| Boost clock | 2,520 MHz | 1,770 MHz |
| TDP | 450 W | 280 W |
| Launch MSRP | $1,599 | $2,499 |
| Release | 2022-10-12 | 2018-12-18 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 4090 or NVIDIA Titan RTX?
- NVIDIA GeForce RTX 4090 performs better for ai & machine learning, winning 20 of 24 benchmarks in our suite with an average 62.8% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 4090 and NVIDIA Titan RTX?
- NVIDIA GeForce RTX 4090 has 24GB VRAM and a 450W TDP, while NVIDIA Titan RTX has 24GB VRAM and a 280W TDP.
- Where is the biggest performance difference between NVIDIA GeForce RTX 4090 and NVIDIA Titan RTX?
- Stable Diffusion XL: NVIDIA GeForce RTX 4090 leads by roughly 148% (16.28 vs 6.56 images/min) in our testing.
NVIDIA GeForce RTX 4090 full review · NVIDIA Titan RTX full review · All AI & Machine Learning rankings