Have you ever imagined a phone that sports all the innovative and trendy features available on different models? Of course, there are phones with many new features. Among them, we can mention the Xiaomi Mi 8 Explorer Edition, the Huawei Mate 20 RS Porsche Design, the upcoming Xiaomi Mi MIX 3, the OPPO Find X, etc. But all these models are overpriced, and they are affordable only for a limited number of consumers. In this sense, Honor Magic 2 is going to be a real treasure. The launch date is set to be on October 31. And today, the company released the official photos of this device, proving the Magic 2 will make a tough competition to all mentioned models. Unfortunately, we are still not aware of its pricing. But taking into account the price policy run by the company, there is every reason to think this handset will cost way less.
As we can see, the Honor Magic 2 will be available in two color options of red and blue. Both variants have a gradient effect. Like the Mi MIX 3, it uses Magic Slide sliding structure, which provides up to 100% screen ratio. Plus, on the back, it carries a triple-camera design, becoming a straight rival to the Huawei models.
It is reported that the handset will also sport a built-in artificial intelligence assistant called Yoyo, which will be an important entry for Magic 2 AI interaction, and is expected to become an important new experience in the history of human-computer interaction.
According to the information from the Ministry of Industry and Information Technology, Honor Magic 2 has dimensions of 157.32×75.13×8.3mm and weighs 206g. It adopts a 6.39-inch AMOLED display with a resolution of 2340×1080, a built-in 3400mAh capacity battery, and no 3.5mm headphone jack.
In terms of core specifications, the Honor Magic 2 will be equipped with a Kirin 980 processor, paired with a 6GB/8GB of RAM and a 128GB/256GB of native storage. There is a total of six cameras, and the rear main camera uses a 16MP + 24MP + 16MP sensors combination. The front-facing camera uses a 16MP + TOF lenses (capturing 3D depth information).