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Aggregate performance score

We've compared GeForce RTX 4070 Ti SUPER and Radeon R9 295X2, covering specs and all relevant benchmarks.

GeForce RTX 4070 Ti SUPER +525%
56
16GB , 285W
Radeon R9 295X2
9
8GB , 500W

GeForce RTX 4070 Ti SUPER outperforms Radeon R9 295X2 by a significant 525% based on our aggregate benchmark results.

Summary

We compared two graphics cards: the GeForce RTX 4070 Ti SUPER with 16GB VRAM (Ada Lovelace architecture), against the Radeon R9 295X2 with 8GB VRAM. Both graphics cards offer competitive value for their respective price points. The GeForce RTX 4070 Ti SUPER is more power-efficient, consuming 285W compared to 500W. 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 Ti SUPER

525% higher 3DMark score (24,426 versus 3,910)
100% more VRAM: 16GB versus 8GB
43% lower power consumption (285W versus 500W)
DLSS support with broader game compatibility and better performance scaling

Reasons to consider the Radeon R9 295X2

Benchmarks

Performance comparison across 1 common benchmarks

3DMark synthetic

GeForce RTX 4070 Ti SUPER
+525%
24,426
Radeon R9 295X2
3,910

Technical Specifications

Side-by-side hardware comparison

Specification GeForce RTX 4070 Ti SUPER Radeon R9 295X2
Architecture Ada Lovelace N/A
VRAM Size 16 GB 8 GB
TDP 285W 500W
Current Price $1188
New • Amazon
N/A

Conclusion

But if raw gaming performance and future-proofing are more important – go for the GeForce RTX 4070 Ti SUPER. For energy efficiency and lower power consumption, the GeForce RTX 4070 Ti SUPER is the better choice. If you plan to game at higher resolutions or use VRAM-intensive applications, the GeForce RTX 4070 Ti SUPER with 16GB VRAM provides more headroom. Both graphics cards have their strengths, so choose based on your specific gaming needs, budget constraints, and performance requirements.