MediaTek
Dimensity Open Resource Architecture

Hybrid Multiprocessing

Embracing the depth of additional resources available, device makers can customize workload assignments across the varied processing elements within the chip including CPU, GPU, and NPU. This way, device makers can tune their platform in ways that are particularly suited to their own software and services and that deliver better performance and power-efficiency and enhance user experiences.

Edge-AI Processing

Built on the foundation of MediaTek’s NeuroPilot, device makers will now have greater access to the Deep Learning Accelerator (DLA) found inside the MediaTek NPU. This includes applying customizations to the multithreaded scheduler, using customized algorithms, or embracing the MediaTek DLA’s unique capacities in traditional AI, generative AI, and agentic AI.

Camera Processing Engines

For both photography and video capture, device makers now have raw access to the camera ISP to directly control the data flow immediately following the camera button press.

MediaTek Dimensity chips typically perform a lot of behind-the-scenes post-processing on recorded video to ensure users only need to point-and-shoot to get an excellent result. This post-processing is performed by a wealth of hardware-based visual processing engines, such as depth mapping, image stabilization, warp engine, color correction and more. Device makers now have access to these low-level camera hardware engines to optimize the results based on their chosen parameters, camera sensors and software setups.

Creating An Ecosystem

Device makers can tune the latest Bluetooth features with profiles to match their wireless accessories, such as headsets or gaming peripherals, providing unique brand synergy experience opportunities.