Qualcomm‘s latest flagship processor, the Snapdragon 8 Elite, is built using TSMC’s third-generation 3nm (N3E) process. It seems like Qualcomm is staying with a reliable partner for its next chip, the Snapdragon 8 Elite 2, as rumors suggested it would be manufactured using TSMC’s more advanced 3nm N3P process.
A new report by Gamma’s Hardware information (via Jukanlosreve) confirms that the Snapdragon 8 Elite 2 will indeed be manufactured using TSMC’s 3nm (N3P) technology. This suggests that Qualcomm is still hesitant to move to Samsung Foundry for chip production.
The Snapdragon 8 Elite 2 reportedly has model number SM8850 and codename Kaanapali. The report also indicates that Samsung apparently made an effort to produce the 8 Elite 2 using its own manufacturing process, which supposedly had the codename “KaanapliS.”
However, according to the report, “KaanapliS” is no longer showing up in logistics data, suggesting that the rumored Samsung-produced SM8850 won’t be a reality. As a result, production of the 8 Elite 2 has shifted to TSMC, with the codename “KaanapaliT” – the “T” presumably signifying TSMC production.
What we know about Snapdragon 8 Elite 2
According to previous reports, the Snapdragon 8 Elite 2 will support ARM’s SME, an instruction set that enables processors to handle complex workloads more efficiently. This could significantly improve single-core performance, potentially bringing Qualcomm in line with Apple’s M4 chip.
In addition to SME support, both chipsets are rumored to be manufactured using TSMC’s 3nm N3P process, which is expected to improve both performance and efficiency. Interestingly, Apple’s rumored A19 chip is also expected to use the same 3nm process.
The Snapdragon 8 Elite 2 is also rumored to feature performance cores clocked at up to 5.00GHz, with a single-core Geekbench score of 4000 points.
However, these claims remain speculative for now, as actual performance can only be confirmed once the chipsets launch and undergo benchmarking. Even then, benchmark scores often fail to fully reflect real-world performance.
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