Apple did shock many fans when it launched iPhone 14 and iPhone 14 Plus models in 2022 without the latest processors. Both models are powered by the previous year’s A15 Bionic, an SoC built on the 5nm process. The more expensive iPhone 14 Pro and iPhone 14 Pro Max models feature the latest Apple A16 Bionic, which uses the newer 4nm manufacturing process. Apple repeated the same approach at this year’s iPhone 15 launch event, launching another iPhone 15 model powered by last year’s A16 Bionic SoC, while the high-end Pro model is equipped with the new A17 Pro SoC. While it seems that using older SoCs in its lower-priced iPhones will soon become standard practice for Apple, that may not be the case with next year’s iPhone 16 series.
according to a report Siltronic TechnologyHaitong Securities industry analyst Jeff Pu said that Apple may provide the same new processor as the Pro model in next year’s iPhone 16 base model. Pu said in the report that all new iPhone 16 models, including the low-priced iPhone 16 models and the high-end iPhone 16 Pro models, will use the same A18 Pro processor, which Apple will release next year. The analyst also said that the SoC will be manufactured by TSMC using its second-generation N3E 3nm process node.
Compared to this year’s high-end Android smartphones powered by high-end Qualcomm chips, this year’s iPhone 15 Pro and iPhone 15 Pro Max do offer quite a leap in processing power. That’s because Apple became the first company to release its own processor, built using the more efficient 3nm process instead of the 4nm process currently used by most Android smartphone makers. This is expected to change when the first smartphones powered by Qualcomm’s Snapdragon 8 Gen 3 SoC, which uses the more efficient 3nm manufacturing process, arrive.
The second-generation 3nm process node is expected to provide better yields, allowing more processors to be manufactured on a single silicon wafer. TSMC currently uses the N3B process node to build Apple’s current generation A17 Pro processor. The efficiency of such processors is often tied to the manufacturing process, as the reduction in process nodes allows more transistors to be packed into the same space, providing more power and higher efficiency, and also allows the devices powered by these processors to be Continuous use over a long period of time. In terms of battery life.
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