Intel logo
Buy on Amazon logo
$199
New
VS
NVIDIA logo
Buy on Amazon logo
$849
New

Aggregate performance score

We've compared Arc A750 and GeForce RTX 2080 SUPER, covering specs and all relevant benchmarks.

Arc A750 +7%
28
8GB , 225W
GeForce RTX 2080 SUPER
27
8GB , 250W

Arc A750 outperforms GeForce RTX 2080 SUPER by a moderate 7% based on our aggregate benchmark results.

Summary

We compared two graphics cards: the Arc A750 with 8GB VRAM (Xe-HPG architecture), against the GeForce RTX 2080 SUPER with 8GB VRAM (Turing architecture). The Arc A750 offers significantly better value for money with a 357% higher value score. The Arc A750 is more power-efficient, consuming 225W compared to 250W. 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 A750

357% better value score (63 versus 14)
7% higher 3DMark score (12,451 versus 11,631)
10% lower power consumption (225W versus 250W)
$650 lower current price ($199 versus $849)

Reasons to consider the GeForce RTX 2080 SUPER

DLSS support with broader game compatibility and better performance scaling

Value Score Comparison

Price-to-performance value analysis

Arc A750
+357% better value
63
GeForce RTX 2080 SUPER
14

Benchmarks

Performance comparison across 1 common benchmarks

3DMark synthetic

Arc A750
+7%
12,451
GeForce RTX 2080 SUPER
11,631

Technical Specifications

Side-by-side hardware comparison

Specification Arc A750 GeForce RTX 2080 SUPER
Architecture Xe-HPG Turing
VRAM Size 8 GB 8 GB
TDP 225W 250W
Current Price $199
New • Amazon
$849
New • Amazon

Conclusion

If value for money and price-to-performance ratio are your top priorities, then choose the Arc A750. Budget-conscious buyers will appreciate the Arc A750's lower 199 price point. Both graphics cards have their strengths, so choose based on your specific gaming needs, budget constraints, and performance requirements.