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Intel Wildcat Lake Processor Leaked: 15W Power Consumption, 1.5GHz Turbo Frequency, 40 TOPS AI Performance
Tech News, March 11 — Wccftech, a technology media outlet, published a blog post yesterday (March 10) revealing traces of Intel’s ultra-low power processor, Wildcat Lake, in the NBD shipment list.
According to the blog, this series mainly replaces the existing Alder Lake-N and Twin Lake, targeting ultra-efficient laptops and mini PCs.
Wildcat Lake continues the core lineage of Panther Lake, using the same Cougar Cove performance core architecture, optimized for power consumption to meet mobile computing needs.
In terms of specifications, leaked information shows Wildcat Lake can reach a maximum turbo frequency of 1.5 GHz and is equipped with 6 MB of L3 cache. Although its 15W Thermal Design Power (TDP) is slightly higher than its predecessor, it offers a more powerful core combination.
The processor features a “2+4” core configuration, including 2 performance cores (P-Cores) and 4 low-power efficiency cores (LP-E Cores). Notably, to achieve the ultimate power efficiency balance, this series eliminates the standard efficiency cores (E-Cores), relying solely on low-power efficiency cores for background tasks.
In hardware design, Wildcat Lake abandons the monolithic chip approach and adopts a more scalable chiplet design. Positioned below Panther Lake, Intel has chosen a smaller BGA 1516 package, significantly smaller than the BGA 2540 pin count of Panther Lake.
Despite being entry-level, this processor still integrates powerful AI processing capabilities. Through collaboration between CPU, GPU, and NPU, it can deliver up to 40 TOPS of combined AI computing power, meeting the entry threshold for AI PCs.
Graphics performance and connectivity are also impressive. The series features an integrated GPU with 2 Xe3 architecture cores capable of delivering 18 TOPS of AI power, with an additional 18 TOPS from the NPU. Additionally, the processor fully supports Thunderbolt 4 interfaces and high-speed memory such as LPDDR5X and DDR5.