Apple will begin commercial manufacture of its M5 chip family next year, according to a supply chain analyst. TSMC’s 3nm semiconductor node (N3) is anticipated to be used for its volume production, which might result in improved efficiency and performance over the prior manufacturing method. Apple is also expected to use a new chipset design that may take up less space than traditional system-on-chip (SoC) architecture.
Apples’ M5 Chip Development:
The standard M5 Apple silicon chip is expected to go into mass manufacturing in the first half of 2025, according to Ming-Chi Kuo, a supply chain expert at TF International Securities. Its other family members, including the M5 Pro/Max and Ultra models, are expected to follow suit, perhaps going into manufacture in 2026 and 2H25, respectively.
According to Kuo, the M5 chipset will be built with TSMC’s N3P node, which can provide a 5 percent performance boost and a 5–10 percent power draw reduction when compared to the N3E node of the M4 SoC. Apple is further anticipated to use a “server-grade” System-on-Integrated-Chips-molding-Horizontal (SoIC-mH) design with its M5 Pro and Ultra chips, which would involve placing chips horizontally inside the mold and integrating numerous integrated circuits into a single unit.
In comparison to traditional system-on-a-chip (SoC), the analyst estimates that this non-traditional design may use 30–50% less space. It is predicted that this approach will lead to less throttling and better thermal performance.
The iPhone maker will also separate its CPU design from GPU design on the M5 chip, which Kuo claims could lead to even higher performance improvements. Apple currently uses both CPU and GPU on the same chip – in theory speaking, but with this separation, each component would be optimised for its own purpose.
The iPhone maker will also separate its CPU design from GPU design on the M5 chip, which Kuo claims may lead to even greater performance improvements. At the moment, Apple combines the CPU and GPU into a single chip. Theoretically, each component would be optimized for its distinct job if they were separated. According to Kuo, M5 SoC may also provide an advantage in jobs involving artificial intelligence (AI).
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