Review: DeepCool AK620 Digital

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Intel CPU temperatures

Processor at 65W:

We’ll start with the 65W profile, a fairly low power consumption, especially when you consider the base consumption of this 13600K. We’re here to simulate the power consumption of small processors with few cores or low power consumption. In theory, everyone should do well!

Compared with the Ryzen 9 7900X, it’s clearly night and day. Here, the AK620 dominates our entire panel, even spanking the NH-U12A chromax.black at low speeds. It’s efficient enough to achieve, at low revs, the same temperature as its Austrian rival when running at medium speed!

95W processor:

Here, we take our readings on a Core i5 13600K, which consumes 95W of power. To achieve this, both the P-Core and E-Core run at 3.5 GHz, while the VCore is set to 1.210V!

On this power consumption profile, DeepCool’s AK620 is as comfortable as ever, placing it ahead of all the other heatsinks in the comparison. In fact, the Jonsbo and Noctua models are tied for first place, while the small NZXT model lags far behind at low revs. On the other hand, in its defense, it doesn’t really box in the same category as the other three.

130W processor :

Finally, we conclude our series of readings with our Core i5 13600K, which consumes 130W. To achieve this, we push the frequencies a little further, as well as the VCore, which now rises to 1.270V!

On this 130W profile, the cooler still feels at ease, achieving results comparable to Noctua’s model at high and mid-range speeds. At minimum speed, it fares better, with a 2°C lead. However, we shouldn’t underestimate Jonsbo’s cooler either, which posts the best temperatures at full speed, while the T120 RGB fails at low speed.

Summary:

On a processor with a monolithic die, DeepCool’s AK620 Digital offers remarkable temperatures. Where it struggled on the Ryzen 9 7900X, it outperforms all heatsinks on our Core i5 13600K. It has to be said, the die of this processor is perfectly covered by the six heatpipes of the heatsink, which helps greatly with temperatures. At least, that’s the explanation we have to justify such a performance gap between the two platforms.