RX 570 8gb Hashrate: Mining 2021| Review| Testing | Specs | Profit

Overclocking AMD RX 570 8GB for Mining

We will overclock AMD RX 570 8GB for mining using MSI Afterburner. You can find it in Yandex. The program interface is very simple, albeit a little colorful) To overclock the video card, we need two sliders:

• Core Clock – overclocking by the core, increases the core frequency;
• Memory Clock – memory overclocking, increases the memory frequency.

You need to change the frequency values ​​slightly. Then test the stability of the work. If all is well, then we increase the frequency even more. If the video card starts to malfunction or the drivers crash, then we just reduce the frequency and that’s it. There will be no harm. Next, we’ll take a look at the overclocking options for popular alogorites.

Overclocking AMD RX 570 8GB for Ether

To overclock AMD RX 570 8GB for mining ether or other coins using the DaggerHashimoto algorithm, you need to increase the memory frequency, and, on the contrary, lower the core to save energy. it does not affect the mining speed. Optimal overclocking parameters:

The Radeon RX 580 and RX 570 from Asus, MSI and Sapphire in test:

Consumption

We used the test protocol which allows us to measure the consumption of the graphics card alone. We performed these measurements while resting on the Windows 10 desktop and in screen saver but did not integrate these latest results to make the graph more readable. Under these conditions the consumption of Radeons turns around 2-3W against 4-5W for GeForce Pascal.

The consumption under load of the Radeon RX 580 and RX 570 is higher than that of the RX 480 and RX 470, which was expected in view of the specifications announced by AMD. Its partners have followed in this direction by raising the limits to give more margin to the GPU.

Note that the RX 580 from MSI and Sapphire reach their consumption limit in The Witcher III and therefore see their GPU frequency reduced slightly. On the other hand, this is not the case with the Asus RX 570 which remains at its maximum frequency but can therefore consume up to 20W more in even more demanding games.

The energy efficiency was not the strong point of the RX 400 and is even less so for these RX 500 even if they remain superior to the R9 300. Compared to GeForce the gap widens particularly when the memory interface plays a role. more importantly, they take advantage of a more efficient architecture to avoid wasting resources.