- Apple has just unveiled three new Apple watches
- Apple Watch Series 11, Apple Watch Ultra 3 and Apple Watch Se 3 are the new range
- Speaking of SE 3, Apple revealed a surprising detail on the three watches
For those of you who are watching the presentation of the Apple event at the moment and thinking of obtaining an Apple Watch, you could weigh the advantages of obtaining an Apple Watch Ultra 3 vs by sticking with your Apple Watch Ultra 2.. Alternatively, you could consider the Apple Watch Series 11 vs the Apple Watch Series 10.
The two represent an upgrade in terms of screens and functionalities, offering LTE 5G connectivity, new health characteristics and a highly proposed battery boost. However, there is an important fact that you should know about these two watches, and it was hidden in the presentation for the least of the Apple watch range: the Apple Watch SE 3.
The Apple Watch SE 3 is the new Apple range, from $ 249 (likely at £ 259 / $ 399 in the United Kingdom and the AU). However, it represents a serious upgrade compared to its predecessor, the Apple Watch SE 2. It can play the media at the watch, has fast load capacities, packs AI features thanks to Watchos 26, and you can interact with it using hands -free gestures. He has functionally the intelligence of an Apple Watch Series 10.
Indeed, it contains the same chipset as the Apple Watch Series 10: The Advanced Chipset S10. When you talk about SE 3, Apple Watch’s product manager Amanda Santangelo boasted of the most powerful Apple’s most powerful watch chipset.
This means that series 11 and Ultra 3 contain the same chipset as their predecessors, series 10 and Ultra 2.. It was not highlighted in the presentation, but it was sufficiently shocking that I noticed the gap.
Indeed, by going to the Apple Store products pages and examining the key specifications, we can see that the two watches pack last year’s fleas.
This should not make a real difference for most users buying Apple watches for the first time, or the upgrade after several generations, but if you weigh from the jump of the model from last year to the iteration of this year, it may be useful to know that you get the same treatment power.
