It was August of last year when we talked about the first time di Snapdragon Wear 5100. This will be the "base" processor of the 2022 smartwatches. We say "base" because we already know of the existence of a SoC more powerful which bears the same name but with the addition of a "More". That said, today WinFuture informs us on the first specifications of the two processors. So let's see in detail what we're going to wear on the wrist this year.
The first details emerge on Snapdragon Wear 5100 and Wear 5100+: these are the SoCs that we will find on this year's flagship smartwatches
All smartwatches on the Wear OS platform feature one disadvantage significant: the short battery life. Despite the best efforts of various companies, Wear OS watches cannot compete with the Apple Watch and other wearable devices based on other systems when it comes to battery life.
They tried to partially solve this problem with the release of the new Snapdragon Wear 4100 and Wear 4100+ chips. The optimal result has not been achieved and it remains to be hoped that things will get even better with energy efficiency in the new Qualcomm platforms: Snapdragon Wear 5100 e 5100+. According to the information, these Qualcomm processors for smartwatches have been delayed due to the chip crisis. But we also know that they will be built with a process at 4nm.
Snapdragon Wear 5100 it will have four ARM Cortex-A53 cores with a peak frequency of 1.7 GHz and a graphics accelerator Adreno 702 with a frequency of up to 700 MHz. Promised support for up to 4 GB of LPDDR4X RAM, standard eMMC 5.1, Bluetooth 5.2 and 4G LTE. As for Snapdragon Wear 5100+, will receive similar features with only one difference: it will offer the QCC5100 coprocessor. This will help the main chip not to drain the battery too quickly.
The modem QCC5100 is already on the market and is mainly used in Bluetooth headphones. In addition to radios, it also offers an audio processor that supports active noise cancellation. Since the chip also has a own GPU and a display controller, it can also display the graphics on the smartwatch screen if needed. Among other things, the QCC5100 has a ARM Ethos machine learning which can be used for activity tracking, heart rate measurement and fall detection.
