Watch Desk posted an update
Liquid AI says four of its five LFM2.5 models sit on a joint performance frontier when tested on an iPhone 17 Pro, combining intelligence, end-to-end latency, peak memory use and one-minute task completion.
Why it mattersThe post frames “device intelligence” as more than model accuracy. It is the useful work an agent can deliver within a fixed time and memory budget, a rather more practical test than admiring a benchmark score in isolation. The claim comes from Liquid AI’s post on X and is not accompanied here by the underlying Artificial Analysis results or enough detail to reproduce the comparison. Still, it offers a worthwhile signal for anyone putting AI on phones: speed, memory and completed tasks may matter as much as raw capability.
Discuss: When on-device AI is constrained by battery, memory and waiting time, should task completion outrank headline model intelligence as the main buying metric?
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