Intel’s 11th Gen ‘Rocket Lake’ Core i9, Core i7, and Core i5 desktop CPUs should soon be available for everyone across the world to buy. This isn’t another minor 14nm update, like we’ve seen for the past several years, as Intel struggled with 10nm manufacturing capacity. Instead of prolonging the wait further, Intel has taken the surprising step of leveraging its relatively more modern 10nm ‘Ice Lake’ architecture, but has backported it to a 14nm manufacturing process to get it out into the market. This approach allows the company to keep using its established and mature manufacturing capabilities while bringing new features and improvements to market. Considering all this, there’s a lot that gamers, enthusiasts, overclockers, and even casual users will want to know.
Gadgets 360: So what’s new with Rocket Lake, and what should enthusiasts be most excited about?
Gadgets 360 caught up with Marcus Kennedy, General Manager, Gaming Division, Client Computing Group at Intel, to talk about the 11th Gen desktop Core CPU launch, his outlook for gaming, and what’s in store for anyone who might be considering an upgrade.
Marcus Kennedy: With Rocket Lake, we know that we are going to be delivering unmatched speeds and better game performance on release, and also greater efficiency and increased workflow productivity with our first new core architecture on desktops in five years. We’ve got 19 percent IPC (Instructions Per Clock) improvement, generation over generation. We’ve got 50 percent better integrated graphics performance as we are including the new XE integrated architecture that was launched with Tiger Lake earlier this year. But we’re also bringing AI for the first time to the S series (desktop segment) which helps enable a lot of incredible performance on things like object detection and speech recognition as well.
Gadgets 360: So is there anything major that we lose out on by not having Rocket Lake using 10nm?
Kennedy: AI inference in general is what I’m talking about. Part of what that does and how we’re bringing that to market is through the GNA, the Gaussian Neural Accelerator, in the silicon that enables these AI usages, and that’s inside the integrated graphics.
Kennedy: We’ve backported the 10nm process onto 14nm, so though the transistors are larger we are still taking advantage of the core and graphics IP benefits. Are we losing out on any features? Well, no, but when we do make that jump to 10nm, obviously you would gain the benefits of the greater efficiencies that you get with scaling down.
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