Apple’s upcoming iPhone event may be just around the corner, but the leaks continue to flow. Custom iPhone creators Feld & Volk have shared a set of photos with Sonny Dickson that depict what is claimed to be the 4.7-inch iPhone 6’s logic board with an A8 processor and NFC chip in tow. There’s no way to tell if these claims are legitimate, but as shown in the image above, the chip labeled with “NSD425″ is said to be the NFC module from NXP. Along with that, there’s a side by side comparison between the A7 and upcoming A8 chip seated in their respective logic boards. There’s obviously no way to confirm if the parts shown in these photos are genuine, but Sonny Dickson has proven to be a reliable source for Apple-related information in the past and Feld & Volk have been on a roll lately with other leaks.
Over the past several months, there have been a few rumors of Apple increasing storage capacities for the iPhone 6, perhaps doing away the 16 GB option at the low end and introducing a 128 GB model at the high end, at least for one of the two rumored models. A set of schematics leaked in pieces over the past week and a half has included reference to various 16, 64, and 128 GB flash storage modules from several vendors for the iPhone 6, although it is unclear why there is no 32 GB option included on that list. A new set of photos from Feld & Volk [Instagram page] and Sonny Dickson today that revealed the NFC chip present on the logic board of the 4.7-inch iPhone 6 also offers a good look at the flash storage module on this board. Based on the Toshiba part number, as seen on similar modules, the “7” indicates that this is a 16 GB module, suggesting the low-end iPhone 6 will continue to offer that amount of storage. There are a few caveats, however, such as the possibility of this being a prototype or testing board using a 16 GB module not intended as a production option. Also, being a board for the 4.7-inch model, it is not yet known whether the rumored larger 5.5-inch iPhone 6 model will offer the same capacity options as the smaller model.