Tech giant Google has introduced its new smartphone, which contains Google’s first self-designed computer chip. In Pixel 6, Google has included its “Tensor” processor that provides new phone features enriched with AI & machine learning.
According to Rick Osterloh, Google’s head of devices, the company started working on it to accomplish this goal. Besides, this new phone has a “Pro” model that gives it an entire space to complete it in the main market.
Google owns and runs the Android operating system, which is used by almost every mobile phone manufacturer but not Apple. Samsung, for example, has ruled the top end of the Android sector with phones that may cost more than £1,000.
The new Pixel 6 will start at £599/ $599, respectively, while the Pro models will cost £849/$899. So the price of competing for top-end smartphones is coming closer to that of Google’s new Pixel devices.
The Pixel 6 and Pro are standard form-factor smartphones with a unique large horizontal bar across the top of the phone’s back.
Both Pixel 6 and Pro have got a 50 MP main camera and a 12MP ultrawide. Additionally, the Pro model also has a 48 MP camera that gives it a 4x optical zoom.
A higher-resolution screen with a faster screen refresh rate of up to 120 frames per second – or 120 screen refreshes a second, which can make animations and rapid movements appear smoother – is available on the Pro model.
Smartphones with advanced cameras employ computational photography to produce decent, clear photographs. It is what gives each phone manufacturer their own unique “look” to photos.
In August, Google introduced the Pixel 6 and Pixel Pro, equipped with a Tensor processor.
Google has previously used Qualcomm’s chips in the previous versions. The Tensor chip, which Google is touting up to 80% faster than the Pixel 5 from 2020, is also more power-efficient.
According to Google, the new chip in the Pixel 6 can do more on the phone itself without being connected to the internet – mainly through Google’s popular virtual assistant.
“We’re transitioning more workloads from the cloud to mobile devices, which is why we see this development. We’re striving to do it so that the client has the greatest performance possible. However, this indicates a future for privacy as well.”