Asus Z390 Series, Руководство по функциям

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72 ASUS Z390 Series Feature Manual
It’s worth noting that AI Overclocking does not adjust the AVX instruction offset due
to limitations associated with this parameter. AVX workloads generate more heat and
typically require lower clock speeds, so if you run software that uses those instructions, we
recommend manually adjusting the offset value to compensate. The same algorithm that sets
the all-core frequency also predicts the maximum stable AVX frequency, so it’s easy to check
the prediction and modify the offset appropriately. This is also covered in the step-by-step
guide included in the UEFI.
Man vs machine
To see if I could do better than our algorithm, I disabled the auto-tuner and tried to reach
higher speeds than the 5.2GHz it recommended. This time, I booted back to the desktop for
software tweaking with the latest version of AI Suite. I first tried to dial up the multiplier by one
step, taking it to 53X for 5.3GHz, but the system locked up. Incrementally increasing the base
clock to 101MHz got me to 5.252GHz without issues, but that’s only about 1% higher than
what AI OC achieved, and it took a lot longer. I tried to push things further by adjusting the
voltage but didn’t have any success.
AI Overclocking is an amazingly quick tuning utility that goes beyond standard automated
overclocking tools and remains vigilant in the face of changing system needs. It’s a handy
weapon for beginners looking for an easy path to higher speeds and a useful tool for experts
who want to get to a stable baseline with minimal fussing, but it’s only available on select
boards in the ASUS Z390 family. Check out our introduction to Z390 gaming motherboards
( https://rog.asus.com/articles/maximus-motherboards/introducing-rog-maximus-strix-z390-
gaming-motherboards/) in the ROG Maximus and Strix families, and don’t miss the full
ASUS lineup in the complete Z390 motherboard guide (https://edgeup.asus.com/2018/
z390-motherboard-guide-coffee-lake-8-core/ ) at Edge Up. We have boards for everyone from
beginners and first-time builders to hardcore enthusiasts and prosumers, and most of them
support AI Overclocking.