AnandTech took a Mac Pro, which comes with two Dual-Core Xeon (Woodcrest) processors and replaced them with samples of two Quad-Core Xeon (Clovertown) processors.
We grabbed a pair of 2.4GHz Clovertown samples and tossed them in the system, and to our pleasure, they worked just fine. Our samples used a 1066MHz FSB, although we're expecting the final chip to use a 1333MHz FSB, but the most important part of the test is that all 8 cores were detected and functional.
The Mac Pro appeared to run fine with the Quad-Core processors, effectively giving them a 8-Core machine. While they are unable to give performance numbers due to non-disclosure agreements, the machine was reportedly stable. It also gives hope for current Mac Pro owners that they will be able to later upgrade the processors on their machine in the future. Clovertown Quad-core processors are expected to be available in late 2006.
Apple appears to have prematurely revealed the name of its rumored lower-cost MacBook model, which is expected to be announced this Wednesday.
A regulatory document for a "MacBook Neo" (Model A3404) has appeared on Apple's website. Unfortunately, there are no further details or images available yet.
While the PDF file does not contain the "MacBook Neo" name, it briefly appeared in a link...
Apple today introduced two new devices, including the iPhone 17e and an updated iPad Air.
iPhone 17e features the same overall design as the iPhone 16e, but it gains Apple's A19 chip, MagSafe for magnetic wireless charging and magnetic accessories, Apple's second-generation C1X modem for faster 5G, and a doubled 256GB of base storage. In the U.S., the iPhone 17e starts at $599, just like the ...
Apple today announced the "MacBook Neo," an all-new kind of low-cost Mac featuring the A18 Pro chip for $599.
The MacBook Neo is the first Mac to be powered by an iPhone chip; the A18 Pro debuted in 2024's iPhone 16 Pro models. Apple says it is up to 50% faster for everyday tasks than the bestselling PC with the latest shipping Intel Core Ultra 5, up to 3x faster for on-device AI workloads,...
