Recently, several multimedia applications, which are digital image compression, video compression, audio processing, and so on, have been implemented on mobile devices. In addition, Artificial Intelligence (AI) processing has grown rapidly. Therefore, mobile devices are necessitating the execution of large amounts of data. The processing core in a mobile device requires high performance, programmability, and versatility. Multimedia applications typically comprise repeated arithmetic and table-lookup coding operations. A Content Addressable Memory-based massive-parallel SIMD matriX core (CAMX) is proposed to increase the processing speed of both operations on a processing core. The CAMX serves as a CPU core accelerator for mobile devices. The CAMX supports massive parallel processing and is equipped with two content addressable memory modules and many processing elements. The CAMX has great performance, programmability, and versatility on mobile devices because it can handle logical, arithmetic, search, and shift operations in parallel. In this talk, the CAMX will be simulated basic calculation, encryption processing, and image processing.