ARM announces mobile CPU “Cortex-A77” with performance of “notebook PC grade” and GPU “Mali-G77” for mobile
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Semiconductor leader ARM announced the Cortex-A77 mobile CPU, the Mali-G77 mobile GPU, and the ARM ML Processor processor for machine learning (NPU). The company claims that the Cortex-A77 is comparable to notebooks in the limited power consumption of smartphones.
Delivering next-generation AI experiences for the 5G world – Arm
https://www.arm.com/company/news/2019/05/delivering-next-generation-ai-experiences-for-the-5g-world
ARM announces Cortex-A77 and Mali-G77 for premium smartphones in 2020-The Verge
https://www.theverge.com/2019/5/27/18641190/arms-cortex-a77-mali-g77-premium-smartphone-2020-chip-design
The announced 'Cortex-A77' is a CPU of 7 nm process, more than 20% for integer operation performance, more than 35% for floating point operation performance, more than 15% for memory bandwidth compared with the previous model Cortex-A76 The performance has been improved, and IPC (Instructions Per Clock) has been improved by 20%. Also, the machine learning performance seems to be 35 times that of the model Cortex-A75.
According to ARM, the Cortex-A77 has “performance comparable to current mainstream notebooks” within the range of smartphone power consumption, and machine learning capabilities such as AI cameras, 3D scanning, face recognition, voice recognition etc. It can be used for 8K resolution streaming, mobile games, etc. utilizing the necessary functions and 5G.
The mobile GPU 'Mali-G77' uses a new architecture called 'Valhall'. Compared to the previous model Mali-G76, the Mali-G77 is 30% better in power saving performance, 30% better in performance per size, and about 40% better in overall performance. In addition, a 60% performance increase is also expected in machine learning performance.
ARM's drawing and power-saving capabilities of Mali-G77 make it possible to play mobile games such as PLAYERUNKNOWN'S BATTLEGROUNDS MOBILE and Fort Knight for a long time comfortably.
Processor for machine learning (NPU) 'ARM ML Processor' is a product for producers who want to add units to their chipset. Improved energy efficiency by more than twice as much as 5TOPS / W compared to NPU installed in 'Project Trillium' announced in 2018, achieved up to 3 times of memory compression technology and 32TOPS at peak performance It is said that
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