are probably walking around with a self-satisfied smile happy to be rewarded for spending the extra money for a premium iPhone. That's because it turns out that the. Looking at which devices will be running Apple Intelligence, Kuo noted that Apple Intelligence is supported on devices powered by Apple's M1 chip and won't be supported on theThe M1 chip's AI computing power can handle 11 trillion operations per second while the A16 AP can perform up to 17 TOPS.
With these figures, Kuo says that Apple Intelligence on-device AI LLM requires about 2GB or less of DRAM. LLM is used by AI platforms to recognize and generate text. The analyst says that Apple Intelligence uses a 3 billion parameter LLM and he writes"After compression , approximately 0.7-1.5GB of DRAM needs to be reserved at any time to run the Apple Intelligence on-device LLM."
Kuo adds,"Microsoft believes the key specification for an AI PC is 40 TOPS of computing power. However, for Apple, integrated with cloud AI , 11 TOPS of on-device computing power is sufficient to start providing on-device AI applications." He also notes that in the future, Apple will move to a 7B LLM for Apple Intelligence which will require iPhone models to have even more DRAM in the future.
The analyst does state,"Whether the user experience is as good as Apple claims still needs to be observed. Samsung S24’s AI capabilities are limited, and Microsoft’s AI PC still confuses consumers. Apple has successfully defined on-device AI , which will accelerate competitors' imitation and catch-up, thereby driving rapid growth in the on-device AI-related industries."
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