Qualcomm Snapdragon Wear 4100 And Wear 4100 Plus Smartwatch Chips

It's been almost two years since the previous generation of the new Snapdragon Wear 4100 series. Even if you take out your toothpaste, Qualcomm has attracted a lot, and this time the Snapdragon Wear 4100 ranges from 28 nm to 12 nm as well as durability and consumption

Qualcomm Snapdragon Wear 4100 And Wear 4100 Plus Smartwatch Chips
Qualcomm Snapdragon Wear 4100 And Wear 4100 Plus Smartwatch Chips

It's been almost two years since the previous generation of the new Snapdragon Wear 4100 series. Even if you take out your toothpaste, Qualcomm has attracted a lot, and this time the Snapdragon Wear 4100 ranges from 28 nm to 12 nm as well as durability and consumption.

Performance is improved, while four A53 processor cores with 1.7 GHz compare performance. for its predecessor. will increase by more than 85 percent, and the GPU series processor with Adreno A504 has a processing speed of 2.5 times faster than the Wear 3100 series.

Qualcomm Snapdragon Wear 4100 And Wear 4100 Plus Smartwatch Chips

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Both 4100 and 4100 plus use Cortex A53 processors with four cores, but only 4100+ combine them with smaller coprocessors. This coprocessor performs many background tasks. Wear an operating system smartwatch that runs when the device is in environmental mode. Energy-saving mode is used by default if it is not used actively.

The higher version of Snapdragon Wear 4100 Plus is equipped with an additional QCC1110 coprocessor compared to the standard version, which reduces power consumption problems caused by frequently used functions such as heart rate detection, number of steps and raising hands to light up the screen. Increased durability while increasing the display of 16 colors to a display of 64,000 colors to further enhance the performance of smartwatches.

Qualcomm Snapdragon Wear 4100 And Wear 4100 Plus Smartwatch Chips

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The Snapdragon Wear 4100 Platform Is Based On The New Generation Of Hybrid Architecture

Snapdragon Wear 4100+ architecture includes:

  • High-performance SoC with the processor, GPU, memory, cellular modem and subsystems that are upgraded in a 12 nm process with low power consumption and two special DSPs for modem/location and sensor/audio
  • Very low-power coprocessor for issuing various use cases including display, sensors, cards and time
  • AON's powerful software interface for managing interactions between SOC and coprocessors.

Super-Fast Performance

The SoC consists of a quad-core A53 processor, Qualcomm® Adreno ™ 504 graphics processing, faster LPDDR3 memory (750 MHz), and two ISPs with support for cameras with up to 16 megapixels. Snapdragon Wear 4100+ offers more than 85% faster performance than the Snapdragon Wear 3100 platform and improves the overall user experience through faster application launches, concurrent use, smoother, and more responsive UX and richer photo and video experiences.

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Connectivity

4G LTE mode, based on 12nm technology, has significantly improved compared to our previous DSP platform. These are low-power features such as eDRX, platform level power management, Cat 4/3/1 support, and single/dual antennas.

Smarter Always-On (AON) Co-Processor

The advanced shared AON processor supports more features. We have divided memory and performance to activate up to 64,000 colors (from 16 colors), and expanded the experience to include ongoing heart rate and sleep monitoring for health and well-being, faster push responses, step counts, alarms, timers, and features, etc. Haptics for stronger traditional display modes.

Ultra-Low Power Platform

Optimization for low power consumption including 12nm process technology with low power consumption, two DSPs to share optimal workloads, support for dynamic clocks and voltage scaling, Qualcomm® Sensor Assisted Positioning PDR Wearables 2.0, support for tracking locations with low power consumption and functions which enhanced the Bluetooth 5.0 architecture. This increase offers a performance reduction of more than 25% for primary use and extends platform battery life compared to our previous platforms.

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