New Pixel Fold leaks show one wide foldy boi

Jean J. Sanders

TL;DR

  • A reliable source has leaked Pixel Fold renders and a 360-degree video.
  • The source also disclosed apparent dimensions, suggesting the foldable is larger than previously rumored.

The Google Pixel Fold has been in the works for a while now, but we got our first apparent peek at the device via unofficial renders last month. Now, a reliable leaker has posted a 360-degree video and more renders.

Steve ‘OnLeaks‘ Hemmerstoffer and How to I Solve have posted renders of the device based on 3D CAD designs. We also get a 360-degree video showing off the Pixel Fold from every angle. Check it out at the top of the page, as well as the renders below.

The video and renders seem in line with earlier images shared by YouTuber Jon Prosser last month. That means a particularly thin form factor, a triple rear camera system with a camera bar reminiscent of the Pixel 7 Pro, and a center-mounted punch-hole cutout for the 5.79-inch smartphone display.

Shift to the folding display and we can see some bezels here, complete with a selfie camera. There’s no sign of any facial recognition sensors here though, in case you were hoping for the return of the Pixel 4’s 3D face unlock tech. In any event, the folding screen is said to measure 7.69-inches across.

Hemmerstoffer and the outlet also posted dimensions, claiming it measures 158.7 x 139.7 x 5.7mm. The camera bump brings the thickness to 8.3mm. We’re guessing that the device will measure 11.4mm thin when folded or 14mm when you take the camera bar into account. So how does this compare to other foldables? Check out a visualization below.

Pixel Fold vs Galaxy Z Fold 4 vs Oppo Find N

Hadlee Simons / Android Authority

Screenshot

The dimensions suggest that the Pixel Fold will actually be wider than the Galaxy Z Fold 4 and Oppo Find N, while being the middle child in terms of height. By comparison, the Z Fold 4 measures 155.1 x 130.1 x 6.3mm, while Oppo’s foldable measures 132.6 x 140.2 x 8mm.

Leave a Reply

Next Post

Google's Vertex AI Vision brings no-code to computer vision

Developing and deploying vision AI applications is complex and expensive. Organizations need data scientists and machine learning engineers to build training and inference pipelines based on unstructured data such as images and videos. With the acute shortage of skilled machine learning engineers, building and integrating intelligent vision AI applications has […]
Google’s Vertex AI Vision brings no-code to computer vision

You May Like