While modern smartphones increasingly rely on cloud-powered artificial intelligence assistants like Google Gemini, running AI models directly on mobile hardware has emerged as an intriguing alternative. A recent hands-on test explored this shift by swapping out the standard cloud assistant for an on-device local model.
One of the main concerns with executing local AI on portable devices is energy efficiency, as intense processing typically strains hardware. Surprisingly, the experiment showed that running a local model natively led to remarkably low battery drain, defying expectations that on-device inference would quickly deplete the phone's charge.
These results point to the increasing efficiency of modern mobile processors in handling complex AI tasks offline. If this trend continues, smartphone users may enjoy improved privacy and offline capabilities without drastically sacrificing daily battery life.
For full details and a deeper look at the setup, check the original report on Android Police.
