![]() ![]() Intel's version of "additive AI" refers instead to workloads that can be easily divvied up to run on separate GPUs, with separate memory spaces. Intel's marketing material promotes the idea of workloads that run on both the integrated Iris Xe GPU and discrete Xe Max GPU simultaneously, using the term "additive AI." However, this shouldn't be confused with traditional GPU interleaving, such as AMD Crossfire or Nvidia SLI-Xe Max and Iris Xe won't be teaming up to handle display duties on a single display. An enhancement to Iris Xe, not a replacement 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. Iris Xe Max has its own 25W TDP and a higher peak clock rate of 1.65GHz. Tiger Lake's Iris Xe has a peak clock rate of 1.35GHz, and it shares the CPU's TDP constraints. 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. ![]() Intel's expectations for the Xe Max instead revolve, almost entirely, around content creation with a side of machine learning and video encoding. ![]() 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. ![]() The confusion here largely springs from mainstream consumer expectations of a GPU versus what Intel's doing with the Xe Max. ![]()
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