ARM Cortex-X1 Mega-core Evolution
Last year, ARM officially released its Cortex-A78 and Cortex-X1 architecture, the former position as a large core, the latter is a mega-core. Cortex-X series is ARM’s new high-performance core architecture, the first product is Cortex-X1, whose performance is 30% higher than the A77, 22% higher than the A78, and 100% improve machine learning capabilities.
Cortex-X1 also allows customers to customize and build more different features, but this requires customer involvement in the early development stage. Today, Xiaomi brought some detailed highlights of mega-core Cortex-X1 used in Snapdragon 888 SoC on Xiaomi 11.
Xiaomi phones have always been the first to carry the Snapdragon 8 series flagship mobile platform, and this time, Xiaomi 11 is the world’s first Snapdragon 888 flagship processor, bringing the most cutting-edge mobile technology innovation to the majority of consumers.
The most significant enhancement of Snapdragon 888 is the introduction of the ARM Cortex-X1 mega-core architecture, which is the ultimate architecture in the pure pursuit of performance. X1 is about 2.3 times larger than the A78 mega-core, and its giant size brings giant energy, and its peak performance is increased by 30% compared to the previous generation A77, which is an unprecedented performance leap and truly opens up the mega-core in the Android camp. That is an unprecedented performance jump, truly opening up the era of mega-core in the Android camp.
When a convoy travels to its destination, it needs to unload and perform a series of processing on the goods immediately, and the execution unit is the final destination of instructions and data. The execution unit processes the data according to the instructions, which is the most core unit of Cortex-X1.
The Cortex-X1 adds NEON instruction execution units, doubling the number, giving it exponentially more machine learning capabilities. It is greatly beneficial to the increasing demand for AI computing and multimedia computing in cell phones. Effectively enhances a range of practical usage experiences such as voice/face recognition, audio and video codecs, and game screen rendering.