Aggregate performance score
We've compared GeForce RTX 2060 SUPER and GeForce RTX 4070 Ti, covering specs and all relevant benchmarks.
GeForce RTX 4070 Ti outperforms GeForce RTX 2060 SUPER by a significant 159% based on our aggregate benchmark results.
Summary
We compared two graphics cards: the GeForce RTX 2060 SUPER with 8GB VRAM (Turing architecture), against the GeForce RTX 4070 Ti with 12GB VRAM (Ada Lovelace architecture). The GeForce RTX 2060 SUPER offers significantly better value for money with a 89% higher value score. The GeForce RTX 2060 SUPER is more power-efficient, consuming 175W compared to 285W. On this page, you will find detailed benchmark comparisons, technical specifications, value score analysis, and key differences to help you choose the right graphics card for your needs and budget.
Key Differences
An overview of the main advantages of each graphics card
Reasons to consider the GeForce RTX 2060 SUPER
Reasons to consider the GeForce RTX 4070 Ti
Value Score Comparison
Price-to-performance value analysis
Benchmarks
Performance comparison across 1 common benchmarks
3DMark synthetic
Technical Specifications
Side-by-side hardware comparison
| Specification | GeForce RTX 2060 SUPER | GeForce RTX 4070 Ti |
|---|---|---|
| Architecture | Turing | Ada Lovelace |
| VRAM Size | 8 GB | 12 GB |
| TDP | 175W | 285W |
| Current Price | $239 New • Amazon | $1169 New • Amazon |
Conclusion
If value for money and price-to-performance ratio are your top priorities, then choose the GeForce RTX 2060 SUPER. But if raw gaming performance and future-proofing are more important – go for the GeForce RTX 4070 Ti. For energy efficiency and lower power consumption, the GeForce RTX 2060 SUPER is the better choice. If you plan to game at higher resolutions or use VRAM-intensive applications, the GeForce RTX 4070 Ti with 12GB VRAM provides more headroom. Budget-conscious buyers will appreciate the GeForce RTX 2060 SUPER's lower 239 price point. Both graphics cards have their strengths, so choose based on your specific gaming needs, budget constraints, and performance requirements.