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#12 |
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"Eric"
Jan 2018
USA
223 Posts |
My laptop had similar issue before when it would just refuse to run at full clockspeed while charging (maybe the charger isn't providing enough power over USB-C I actually don't know. My laptop only supports USB-C charging). Then I used intel xtu to tune down my clockspeed from 3.7GHz to 3.3GHz while also applying a -0.150V offset to the voltage, which in turn dropped my power consumption from over 55W when it's actually running at 3.7GHz stock voltage to like 31W on 3.3GHz, losing only about 5% of performance. The same can be applied to GPUs but nvidia GPUs imo don't have much room to undervolt compared to AMD GPU (I dunno if those gaming laptops are power limited or not but my business laptops definitely are power limited when running both GPU and CPU load simultaneously).
Just as my past experience undervolting numerous laptop processors it's common to get a -0.08V to -0.1V offset on 4th or 5th gen HQ chips, -0.120V on 6th gen HQ chips, -0.15V to -0.20V on 7th gen HQ or G chips, and about -0.06V to -0.08V on U-series, and -0.100 for hexacore 8th gen chips. All of which would drop the power consumption by a decent amount and hopefully mitigating the issue. |
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#13 | |
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"/X\(‘-‘)/X\"
Jan 2013
https://pedan.tech/
24×199 Posts |
Quote:
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#14 |
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"Eric"
Jan 2018
USA
223 Posts |
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#15 | |
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"Sam Laur"
Dec 2018
Turku, Finland
317 Posts |
Quote:
In the power limited scenario, the card will run as fast as it can while staying under power and voltage limits. Even on a steady GPU load, the clock frequency will vary one or two steps as the boost algorithm constantly tries to find the limit, maybe goes a bit over it and then backs off again. But annoying is all that it is, there is no technical reason for not using it. And naturally, when the GPU chip starts getting hotter, the transistor leakage currents will rise, and power consumption at any given frequency will also rise. When running with a locked clock, power usage will vary even according to ambient temperature and cooling efficiency. Of course different loads will generate wildly different amounts of heat. For example, mfaktc will run hotter than CUDALucas, because even though the latter uses much more memory bandwidth, the cores are barely working due to 1:32 FP64 in the cores. So it can take a lot of fiddling to keep the card running at optimum rate. In the long run, I've found that using just the power limit extracts more computation power with less effort on my part. And I just ignore the bouncing frequency.
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