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A8-7670K vs A8-7600

Performance comparison: which is faster?

AMD A8-7670K (AMD, 2015) and AMD A8-7600 (AMD, 2014) are compared here. Compare not only scores, but also whether the motherboard can be reused and which GPU class is balanced with each CPU.

Overall performance: A8-7670K is about 7.1% faster

Both use the same FM2+ socket, so they can be installed on the same motherboard. For games, performance balance with the GPU (guideline CPU:GPU = 0.9:1) matters more than CPU speed alone.

AMD / A-Series
A8-7670K
4,500 pts
FM2+ · 2015
Best Overall Performance
Compatible GPU: Radeon RX 6400
AMD / A-Series
A8-7600
4,200 pts
FM2+ · 2014
Compatible GPU: GeForce GTX 1050

Performance Score Comparison

A8-7670K4,500 pts
A8-76004,200 pts

Relative performance score (higher is faster). Actual speed varies by workload, cooling, and memory configuration.

Specification Comparison

ItemA8-7670KA8-7600
Performance Score4,5004,200
GenerationA-SeriesA-Series
SocketFM2+FM2+
Release Year20152014
TypeDesktopDesktop
Compatible GPU ExampleRadeon RX 6400GeForce GTX 1050

Which Should You Choose?

If You Want To...Recommended
Prioritize maximum speed for heavy work or a high-end GPUA8-7670K
Upgrade while reusing the current motherboardEither works (same FM2+ socket)
Prioritize value and adequate performanceA8-7600 (the lower model is often sufficient)

Check the Bottleneck with Your GPU →

FAQ

Which is faster, A8-7670K or A8-7600?

A8-7670K is about 7.1% higher by score (A8-7670K: 4500 points / A8-7600: 4200 points). For gaming, the GPU tier usually matters more than a few percent of CPU difference. For CPU-heavy work such as video editing and streaming, choose the faster CPU.

How do the generation and socket differ between A8-7670K and A8-7600?

Both are A-Series-generation CPUs.Both use the same FM2+ socket, so they can be installed on the same motherboard.

Which GPUs pair well with A8-7670K and A8-7600?

Using our CPU:GPU = 0.9:1 guideline, Radeon RX 6400 pairs well with A8-7670K and GeForce GTX 1050 pairs well with A8-7600. If either GPU is too strong or too weak, one part holds the other back.

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