NVIDIA GeForce RTX 3060 vs NVIDIA TITAN V, AI & Machine Learning Comparison
NVIDIA TITAN V wins 11 of 22 benchmarks, averaging 46.5% 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 Qwen2.5-Coder 14B, where NVIDIA TITAN V leads by 58% (35.52 vs 56.25 tok/s); the closest fight is MiniCPM5 2B (15% apart); VRAM decides part of this one: NVIDIA TITAN V runs 34 of our 12 AI workloads while the other card runs 15, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA GeForce RTX 3060 | NVIDIA TITAN V | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 167.64 | 192.05 | -13% |
| LFM2.5 2.6B tok/s | 154.94 | 210.37 | -26% |
| Nemotron 3 Nano 4B tok/s | 100.43 | 149.84 | -33% |
| Qwen3 4B tok/s | 102.04 | 141.06 | -28% |
| Llama 3.1 8B tok/s | 65.36 | 102.28 | -36% |
| Qwen3 8B tok/s | 63.84 | 98.34 | -35% |
| Ornith 1.5 9B tok/s | 56.51 | 85.44 | -34% |
| Gemma 4 12B tok/s | 41.02 | 59.29 | -31% |
| Qwen2.5-Coder 14B tok/s | 35.52 | 56.25 | -37% |
| Qwen3 14B tok/s | 36.45 | 57.47 | -37% |
| 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 | 2.94 | 4.44 | -34% |
| 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 3060 is faster on 0 of 1; NVIDIA TITAN V on 1.
| Workflow | NVIDIA GeForce RTX 3060 | NVIDIA TITAN V | Difference |
|---|---|---|---|
| Full codebase review | 28.2 min | 17.8 min | NVIDIA TITAN V 1.58x faster |
Specifications compared
| NVIDIA GeForce RTX 3060 | NVIDIA TITAN V | |
|---|---|---|
| VRAM | 12GB | 12GB |
| Transistors | 12,000M | 21,100M |
| Die size | 276 mm² | 815 mm² |
| Process node | 8 nm | 12 nm |
| Transistor density | 43.5 M/mm² | 25.9 M/mm² |
| Architecture | Ampere (GA106) | Volta (GV100) |
| Memory bandwidth | 360 GB/s | 652.8 GB/s |
| Boost clock | 1,777 MHz | 1,455 MHz |
| TDP | 170 W | 250 W |
| Launch MSRP | $329 | $2,999 |
| Release | 2021-02-25 | 2017-12-07 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3060 or NVIDIA TITAN V?
- NVIDIA TITAN V performs better for ai & machine learning, winning 11 of 22 benchmarks in our suite with an average 46.5% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3060 and NVIDIA TITAN V?
- NVIDIA GeForce RTX 3060 has 12GB VRAM and a 170W TDP, while NVIDIA TITAN V has 12GB VRAM and a 250W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 3060 and NVIDIA TITAN V?
- For AI, yes, NVIDIA TITAN V fits 4 more of our 12 workloads than NVIDIA GeForce RTX 3060. 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 3060 and NVIDIA TITAN V?
- Qwen2.5-Coder 14B: NVIDIA TITAN V leads by roughly 58% (35.52 vs 56.25 tok/s) in our testing.
NVIDIA GeForce RTX 3060 full review · NVIDIA TITAN V full review · All AI & Machine Learning rankings