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Xiaomi: New CPU matches Apple cores single threaded, much faster multithreaded
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Overview
Xiaomi’s Xring O3 processor is presented as a mobile chip with C1-Ultra performance cores, 44 MB of total cache, and support for Arm’s SME2 matrix-extension instructions and SVE2 SIMD instructions. Daniel Lemire says the chip roughly matches Apple cores in single-threaded tasks while delivering substantially higher multithreaded performance. He cites Geekbench scores of 3,945 for single-core performance and 15,221 for multi-core performance. Lemire describes the C1-Ultra as a 21-port core, including six ports that support 128-bit SIMD operations. He says this exceeds the execution-port count of typical Intel and AMD processors, while noting that AMD’s Zen 5 can execute four 512-bit operations. Lemire characterizes six 128-bit SIMD units as the current upper limit for Arm chips to his knowledge. He identifies a trend toward wider processor cores with more arithmetic and SIMD execution units, enabling more independent additions and multiplications per clock cycle. He also highlights the chip’s cache capacity as larger than that of most laptop CPUs. Lemire says Apple could soon announce a newer processor and that phones using the Xring O3 may be difficult to obtain.
Summary from twitter.com.
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Based on 15 sampled comments from this thread. Analyzed 2026-08-25.
Despite the processor headline, the thread barely discussed AI or machine learning. The one concrete AI-relevant technical concern was security: commenters argued that faster AI-assisted vulnerability discovery raises the cost of shipping modern processors without protections such as memory tagging. On that view, raw benchmark gains are incomplete if the chip platform leaves apps and system components easier to exploit. A smaller argument folded Chinese AI firms into the broader China-versus-US competition debate. Several readers welcomed more capable Chinese technology companies, including AI labs, as competitive pressure on entrenched American platforms and as a possible check on their market power. Others rejected the idea that Chinese AI companies should automatically be seen as the safer alternative, stressing their dependence on the Chinese state and the resulting potential for surveillance or manipulation. No one offered evidence about model quality, training methods, AI hardware acceleration, or practical AI workloads on Xiaomi's chip. Most of the thread focused instead on conventional CPU benchmarks, thermals, manufacturing, phones, and cars, which do not establish an AI-specific verdict. The AI-relevant discussion therefore lands as cautious rather than enthusiastic: competition is welcome, but security and governance matter more than national branding.
The sharpest AI-adjacent dispute was whether Chinese technology and AI companies are a healthier counterweight to US platforms. One side saw competition from firms such as DeepSeek as reducing the dominance of socially harmful American incumbents; the other argued that companies tied to the Chinese state may create even greater opportunities for coercion and manipulation.
- Praise: Competition from Chinese AI firms was framed as useful pressure on dominant US platforms, potentially widening the range of capable AI providers rather than leaving users dependent on a few incumbents.
- Concern: AI is making vulnerability discovery faster, so a new mobile processor without modern memory-safety defenses could become a liability even if its benchmark numbers look exceptional.
- Concern: Claims that Chinese AI companies are inherently less threatening than US platforms drew pushback because state dependence may amplify surveillance and manipulation risks.