MediaTek Unveils Flagship Dimensity 9300 with All Big Core Design
MediaTek has announced the Dimensity 9300, its newest flagship mobile chip with All Big Core design. The unique configuration combines extreme performance with MediaTek’s industry-leading power efficiency to deliver unmatched user experiences in gaming, video capture, and on-device generative AI processing.
Joe Chen, President at MediaTek said, “The Dimensity 9300 is MediaTek’s most powerful flagship chip yet, bringing a huge boost in raw computing power to flagship smartphones with our groundbreaking All Big Core design. This unique architecture, combined with our upgraded on-chip AI Processing Unit, will usher in a new era of generative AI applications as developers push the limits with edge AI and hybrid AI computing capabilities.”
MediaTek’s next-generation APU 790 AI processor is integrated into the Dimensity 9300 and designed to significantly improve generative AI performance and energy efficiency for faster and more secure edge computing. The APU 790 doubles the integer and floating-point operations performance, while reducing power consumption by 45%. By adapting the Transformer model for operator acceleration, the processing speed of the APU 790 is 8 times faster than the previous generation, with image generation within one second using Stable Diffusion. MediaTek has developed mixed-precision INT4 quantization technology, which when combined with the company’s NeuroPilot memory hardware compression, can more efficiently utilize memory bandwidth and significantly reduce memory requirements for large AI models.
The APU 790 provides support for NeuroPilot Fusion, which can continuously perform LoRA low-rank adaptation, and is capable of supporting large language models with 1B, 7B, and 13B parameters, with scalability up to 33B. As part of MediaTek’s rich AI ecosystem, the Dimensity 9300 will support cutting-edge mainstream large language models including Meta Llama 2, Baichuan 2, Baidu AI LLM, and more. This helps developers quickly and efficiently deploy multi-modal generative AI applications to provide users with generative AI experiences such as text, images, and music.
