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Intel is hitting CES 2023 with some serious swagger, announcing a new line of mobile processors including what it says is the world’s fastest chip for a laptop.The company’s 13th-generation ...
Some Xeon Phi processors support four-way hyper-threading, effectively quadrupling the number of threads. [1] Before the Coffee Lake architecture, most Xeon and all desktop and mobile Core i3 and i7 supported hyper-threading while only dual-core mobile i5's supported it.
The A12X and A12Z feature an Apple-designed 64-bit ARMv8.3-A octa-core CPU, with four high-performance cores called Vortex and four energy-efficient cores called Tempest. [4] [1] The Vortex cores are a 7-wide decode out-of-order superscalar design, while the Tempest cores are a 3-wide decode out-of-order superscalar design.
These quad-core processors are designed for "ultraportable gaming" laptops with 28-35 W TDP. [12] Intel officially launched the 11th generation Intel Core-H series and Xeon W-11000M series on May 11, 2021 [ 13 ] and announced the 11th generation Intel Core Tiger Lake Refresh series (1195G7 and 1155G7) on May 30, 2021.
The Snapdragon 8 Elite is Qualcomm’s latest top-of-the-line mobile processor and includes improved performance and power efficiency thanks to the company’s use of what it calls Prime Cores ...
Heterogeneous computing is widely used in system-on-chip devices such as tablets, smartphones, other mobile devices, and video game consoles. [6] HSA allows programs to use the graphics processor for floating point calculations without separate memory or scheduling. [7]
Apple claims the A16 is about 40% faster than the competition, [3] and it also has new efficiency cores, with their big advantage being they use a third of the power of the best efficiency cores of other phones on the market. The A16 contains 16 billion transistors, a 6.7% increase from the A15's transistor count of 15 billion.
Qualcomm announced Hexagon Vector Extensions (HVX). HVX is designed to allow significant compute workloads for advanced imaging and computer vision to be processed on the DSP instead of the CPU. [19] In March 2015 Qualcomm announced their Snapdragon Neural Processing Engine SDK which allow AI acceleration using the CPU, GPU and Hexagon DSP. [20]