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November 4, 2020 10:10 pm

Intel Enters the Laptop Discrete GPU Market With Xe Max

An anonymous reader quotes a report from Ars Technica: This weekend, Intel released preliminary information on its newest laptop part -- the Xe Max discrete GPU, which functions alongside and in tandem with Tiger Lake's integrated Iris Xe GPU. We first heard about Xe Max at Acer's Next 2020 launch event, where it was listed as a part of the upcoming Swift 3x laptop -- which will only be available in China. The new GPU will also be available in the Asus VivoBook Flip TP470 and the Dell Inspiron 15 7000 2-in-1. During an extended product briefing, Intel stressed to us that the Xe Max beats Nvidia's entry-level MX 350 chipset in just about every conceivable metric. In another year, this would have been exciting -- but the Xe Max is only slated to appear in systems that feature Tiger Lake processors, whose Iris Xe integrated GPUs already handily outperform the Nvidia MX 350 in both Intel's tests and our own. The confusion here largely springs from mainstream consumer expectations of a GPU versus what Intel's doing with the Xe Max. Our GPU tests largely revolve around gaming, using 3DMark's well-known benchmark suite, which includes gaming, fps-focused tests such as Time Spy and Night Raid. Intel's expectations for the Xe Max instead revolve, almost entirely, around content creation with a side of machine learning and video encoding. Xe Max is, roughly speaking, the same 96 Execution Unit (EU) GPU to be found in the Tiger Lake i7-1185G7 CPU we've tested already this year -- the major difference, beyond not being on-die with the CPU, is a higher clock rate, dedicated RAM, and separate TDP budget. Tiger Lake's Iris Xe has a peak clock rate of 1.35GHz, and it shares the CPU's TDP constraints. Iris Xe Max has its own 25W TDP and a higher peak clock rate of 1.65GHz. It also has its own 4GiB of dedicated RAM -- though that RAM is the same LPDDR4X-4266 that Tiger Lake itself uses, which is something of a first for discrete graphics and might lead to better power efficiency.

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