Intel logo
Buy on Amazon logo
$259
New
VS
NVIDIA logo
Buy on Amazon logo
$699
New

Aggregate performance score

We've compared Arc A580 and GeForce RTX 2070 SUPER, covering specs and all relevant benchmarks.

Arc A580 +7%
25
8GB , 175W
GeForce RTX 2070 SUPER
23
8GB , 215W

Arc A580 outperforms GeForce RTX 2070 SUPER by a moderate 7% based on our aggregate benchmark results.

Summary

We compared two graphics cards: the Arc A580 with 8GB VRAM (Xe-HPG architecture), against the GeForce RTX 2070 SUPER with 8GB VRAM (Turing architecture). The Arc A580 offers significantly better value for money with a 188% higher value score. The Arc A580 is more power-efficient, consuming 175W compared to 215W. 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 Arc A580

188% better value score (42 versus 15)
7% higher 3DMark score (10,869 versus 10,182)
19% lower power consumption (175W versus 215W)
$440 lower current price ($259 versus $699)

Reasons to consider the GeForce RTX 2070 SUPER

DLSS support with broader game compatibility and better performance scaling

Value Score Comparison

Price-to-performance value analysis

Arc A580
+188% better value
42
GeForce RTX 2070 SUPER
15

Benchmarks

Performance comparison across 1 common benchmarks

3DMark synthetic

Arc A580
+7%
10,869
GeForce RTX 2070 SUPER
10,182

Technical Specifications

Side-by-side hardware comparison

Specification Arc A580 GeForce RTX 2070 SUPER
Architecture Xe-HPG Turing
VRAM Size 8 GB 8 GB
TDP 175W 215W
Current Price $259
New • Amazon
$699
New • Amazon

Conclusion

If value for money and price-to-performance ratio are your top priorities, then choose the Arc A580. Budget-conscious buyers will appreciate the Arc A580's lower 259 price point. Both graphics cards have their strengths, so choose based on your specific gaming needs, budget constraints, and performance requirements.