NVIDIA GeForce RTX 3090 vs NVIDIA Titan RTX, AI & Machine Learning Comparison
NVIDIA GeForce RTX 3090 wins 20 of 24 benchmarks, averaging 31% 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 Llama 3 8B, where NVIDIA GeForce RTX 3090 leads by 35% (146.34 vs 108.26 tok/s); the closest fight is Stable Diffusion XL (14% apart).
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 3090 | NVIDIA Titan RTX | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 296.77 | 225.16 | +32% |
| LFM2.5 2.6B tok/s | 314.96 | 244.88 | +29% |
| Granite 4.1 3B tok/s | 227.46 | 172.09 | +32% |
| Nemotron 3 Nano 4B tok/s | 222.39 | 166.76 | +33% |
| Qwen3 4B tok/s | 206.67 | 158.13 | +31% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 164.74 | 122.74 | +34% |
| Llama 3 8B tok/s | 146.34 | 108.26 | +35% |
| Llama 3.1 8B tok/s | 144.9 | 107.39 | +35% |
| Qwen3 8B tok/s | 137.59 | 104.36 | +32% |
| Nemotron Nano 9B v2 tok/s | 108.86 | 80.66 | +35% |
| Ornith 1.5 9B tok/s | 124.77 | 93.68 | +33% |
| Gemma 4 12B tok/s | 85.77 | 66.58 | +29% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 59.75 | +32% |
| Qwen3 14B tok/s | 81.11 | 62.47 | +30% |
| Gemma 4 26B A4B tok/s | 154.33 | 119.86 | +29% |
| Qwen3 30B A3B tok/s | 202.26 | 156.15 | +30% |
| Qwen3 32B tok/s | 37.95 | 28.36 | +34% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 7.46 | 6.56 | +14% |
| 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 | 2.17 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0.22 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 1 of 1; NVIDIA Titan RTX on 0.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA Titan RTX | Difference |
|---|---|---|---|
| Full codebase review | 12.7 min | 16.7 min | NVIDIA GeForce RTX 3090 1.32x faster |
Specifications compared
| NVIDIA GeForce RTX 3090 | NVIDIA Titan RTX | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Transistors | 28,300M | 18,600M |
| Die size | 628.4 mm² | 754 mm² |
| Process node | 8 nm | 12 nm |
| Transistor density | 45 M/mm² | 24.7 M/mm² |
| Architecture | Ampere (GA102) | Turing (TU102) |
| Memory bandwidth | 936.2 GB/s | 672 GB/s |
| Boost clock | 1,695 MHz | 1,770 MHz |
| TDP | 350 W | 280 W |
| Launch MSRP | $1,499 | $2,499 |
| Release | 2020-09-24 | 2018-12-18 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3090 or NVIDIA Titan RTX?
- NVIDIA GeForce RTX 3090 performs better for ai & machine learning, winning 20 of 24 benchmarks in our suite with an average 31% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3090 and NVIDIA Titan RTX?
- NVIDIA GeForce RTX 3090 has 24GB VRAM and a 350W TDP, while NVIDIA Titan RTX has 24GB VRAM and a 280W TDP.
- Where is the biggest performance difference between NVIDIA GeForce RTX 3090 and NVIDIA Titan RTX?
- Llama 3 8B: NVIDIA GeForce RTX 3090 leads by roughly 35% (146.34 vs 108.26 tok/s) in our testing.
NVIDIA GeForce RTX 3090 full review · NVIDIA Titan RTX full review · All AI & Machine Learning rankings