Aggregate performance score
We've compared GeForce RTX 4070 SUPER and Radeon RX Vega 64, covering specs and all relevant benchmarks.
GeForce RTX 4070 SUPER outperforms Radeon RX Vega 64 by a significant 188% based on our aggregate benchmark results.
Summary
We compared two graphics cards: the GeForce RTX 4070 SUPER with 12GB VRAM (Ada Lovelace architecture), against the Radeon RX Vega 64 with 8GB VRAM (RDNA 2 architecture). The GeForce RTX 4070 SUPER offers significantly better value for money with a 137% higher value score. The GeForce RTX 4070 SUPER is more power-efficient, consuming 220W compared to 295W. 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 4070 SUPER
Reasons to consider the Radeon RX Vega 64
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 4070 SUPER | Radeon RX Vega 64 |
|---|---|---|
| Architecture | Ada Lovelace | RDNA 2 |
| VRAM Size | 12 GB | 8 GB |
| TDP | 220W | 295W |
| Current Price | $849 New • Amazon | $699 New • Amazon |
Conclusion
If value for money and price-to-performance ratio are your top priorities, then choose the GeForce RTX 4070 SUPER. But if raw gaming performance and future-proofing are more important – go for the GeForce RTX 4070 SUPER. For energy efficiency and lower power consumption, the GeForce RTX 4070 SUPER is the better choice. If you plan to game at higher resolutions or use VRAM-intensive applications, the GeForce RTX 4070 SUPER with 12GB VRAM provides more headroom. Budget-conscious buyers will appreciate the Radeon RX Vega 64's lower 699 price point. Both graphics cards have their strengths, so choose based on your specific gaming needs, budget constraints, and performance requirements.