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Domestic self-developed chip mobile phones have been listed, and Vivo continues to bet on the mobile phone image track

In addition to Huawei's self-developed Kirin chip, other head domestic mobile phone "players" began to devote themselves to self-developed chips. On April 25, the vivo X80 series mobile phone equipped with the second-generation self-developed chip "V1+" was finally unveiled. Nandu reporter learned that the X80 series starts from 3699 yuan, and the top version is 6699 yuan, and it is planned to be officially sold on April 29.

Domestic self-developed chip mobile phones have been listed, and Vivo continues to bet on the mobile phone image track

With the development of the mobile phone industry, major manufacturers are more and more focused on the research and development of chips, with independent self-developed chips, has become an important strategic node for manufacturers to create a differentiated experience.

At present, in addition to Huawei's self-developed Kirin chip, other head domestic mobile phone "players" have also launched self-developed chips. For example, Xiaomi's fast-charging chip "Surging C1", OPPO launched its self-developed NPU chip "Marinaia", and Honor also carries a separate chip on the Magic4 to the best version...

Vivo is also jumping into this trend. Following last year's X70 series equipped with self-developed image chip V1, this time the X80 series is equipped with the second generation of self-developed chip V1+. According to official disclosures, the chip takes into account the two major functions of image and performance, one is to make the image function evolve again, and the other is to use the computing power breakthrough in the field of performance and display to bring a more powerful game experience.

Hu Baishan, executive vice president of vivo, recently revealed to Nandu reporters that vivo has promoted algorithm hardware since 2019, and the newly launched second-generation self-developed chip V1+ and the second-generation dual-core standard: not only evolve again at the image level, but also expand the chip function to the performance and display field, expand support for game and video visual experience, and can achieve a "core" dual use.

It is reported that in terms of imaging, V1+ has carried out more in-depth fine tuning for night scene video, and the video noise reduction algorithm can achieve motion estimation and compensation, combined with the chip's own high-speed, low-power extreme-speed memory management system, with the improvement of the camera module, the main chip and vivo self-developed algorithm, so that the mobile phone has reached the imaging level of professional night vision.

Domestic self-developed chip mobile phones have been listed, and Vivo continues to bet on the mobile phone image track

In addition, in terms of game performance, vivo's self-developed chip can optimize the frame rate stability by calling the hardware-level interpolation frame algorithm to achieve the effect of performance and power balance. Vivo said, "For some hardcore players, the GPU Settings Panel has also been opened to customize the screen display effect and visual experience."

Some insiders told Nandu reporters that the biggest benefit of self-developed chips is to realize the integration of software and hardware, and the highly independent self-developed SoC makes it firmly grasp the product cycle, design products on demand, and better match the software ecology. In addition, if the chip is self-developed, in addition to better scheduling the performance of the chip and doing a better job of the chip and the system to work better together, it can also make differentiation through the self-developed chip. With a better experience and differentiation, you can get a better advantage in the competition.

However, in comparison, Vivo's V1+ chip is also consistent with the current playing style of most domestic mobile phone manufacturers, and its chip self-research direction is also a SoC chip that is biased towards imaging. The role of the image chip is to calculate and process the image signal input by the sensor, and then undergo a series of intelligent "beautification" such as linear correction, noise removal, white balance correction, exposure correction, etc.

Written by: Kong Xueshao, reporter of Nandu Bay Finance Agency

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