[ad_1]
Photo credit: Weibo / Zanilia Zhao
The Honor Magic Award and other official details will be announced at the ceremony launch
The launch of Honor Magic 2 is expected to take place at an event scheduled for October 31 in China, originally scheduled during the Huawei sub-brand event at IFA 2018, the Honor Magic 2 is about to arrive with the company's flagship product, the HiSilicon Kirin 980 SoC, a screen without a bezel with manual camera slider and the latest 40W SuperCharge technology. Leaks have appeared online at Just a few days before the official unveiling gives main specifications, design features and live images of the upcoming Honor Magic 2.
Chinese actress Zanilia Zhao has released several live images of the Honor M agic 2, apparently given to him by Huawei. t shows the next smartphone in a red color variant. The message from the actress also reveals that the phone will receive a personalized virtual badistant called "Yoyo". The back of the Magic 2 includes a triple camera configuration on the back with the three sensors aligned vertically.
Specifications of Honor Magic 2
According to a recently released TENAA list, we can see that the configuration of the rear camera will get a 16 megapixel main sensor, 24 megapixel secondary sensor, and then tertiary sensor from 16 megapixels.
The TENAA list also reveals some other specifications of the Honor Magic 2. The smartphone runs on Android 9.0 Pie and displays a 6.39 version. Full-HD + inches (1080×2340 pixels) AMOLED display panel in 19.5: 9 format. It is powered by a HiSilicon Kirin 980 octa-core SoC processor, coupled with 8GB of RAM and 128GB of storage integrated.
The phone seems to have 6 cameras; a combo of 16 + 24 + 16 megapixels in the back and a combo of 16 + 20 + 2 megapixels in the front. If this were the case, it would be the first smartphone in the world to achieve such a feat. The Honor Magic 2 is listed to receive a 3400 mAh battery under the hood, with support for 40W fast charging. Other features include an integrated fingerprint sensor and 3D face recognition.
<! –
->
Source link