Exynos 9 series applications processor has deep learning based software
The new Exynos 9810 brings premium features with a 2.9GHz custom CPU, an industry-first 6CA LTE modem and deep learning processing capabilities
Samsung Electronics, a world leader in advanced semiconductor technology, today announced the launch of its latest premium application processor (AP), the Exynos 9 Series 9810. The Exynos 9810, built on Samsung’s second-generation 10-nanometer (nm) FinFET process, brings the next level of performance to smartphones and smart devices with its powerful third-generation custom CPU, faster gigabit LTE modem and sophisticated image processing with deep learning-based software.
In recognition of its innovation and technological advancements, Samsung’s Exynos 9 Series 9810 has been selected as a CES 2018 Innovation Awards HONOREE in the Embedded Technologies product category and will be displayed at the event, which runs January 9-12, 2018, in Las Vegas, USA.
“The Exynos 9 Series 9810 is our most innovative mobile processor yet, with our third-generation custom CPU, ultra-fast gigabit LTE modem and, deep learning-enhanced image processing,” said Ben Hur, vice president of System LSI marketing at Samsung Electronics. “The Exynos 9810 will be a key catalyst for innovation in smart platforms such as smartphones and personal computing for the coming AI era.”
With the benefits of the industry’s most advanced 10nm process technology, the Exynos 9810 will enable seamless multi-tasking with faster loading and transition times between the latest mobile apps. The processor has a brand new eight-core CPU under its hood, four of which are powerful third-generation custom cores that can reach 2.9 gigahertz (GHz), with the other four optimized for efficiency. With an architecture that widens the pipeline and improves cache memory, single-core performance is enhanced two-fold and multi-core performance is increased by around 40 percent compared to its predecessor.Exynos 9810 introduces sophisticated features to enhance user experiences with neural network-based deep learning and stronger security on the most advanced mobile devices. This cutting-edge technology allows the processor to accurately recognize people or items in photos for fast image searching or categorization, or through depth sensing, scan a user’s face in 3D for hybrid face detection. By utilizing both hardware and software, hybrid face detection enables realistic face-tracking filters as well as stronger security when unlocking a device with one’s face. For added security, the processor has a separate security processing unit to safeguard vital personal data such as facial, iris and fingerprint information.