ARApr 20

A Comparative Analysis of ARM and x86-64 Laptop-Class Processors: Architecture, Assembly-Level Performance, and Energy Efficiency

arXiv:2604.188968.0
AI Analysis

Provides a platform-level comparison of ARM and x86-64 laptop processors for researchers and engineers evaluating performance and energy trade-offs.

This study compares ARM (Apple M3) and x86-64 (AMD Ryzen 7 3750H) laptop processors using architectural analysis and assembly benchmarks. The Ryzen platform is faster on Fibonacci, while the Apple platform is 5.82-6.38x more energy-efficient.

ARM-based and x86-64 laptop processors differ not only in instruction-set design, but also in memory hierarchy, core organization, system integration, and power-management mechanisms. This study presents a combined architectural and experimental comparison of an Apple M3 system and an AMD Ryzen 7 3750H system. The architectural analysis contrasts AArch64's fixed-width load-store design with the variable-length, memory-operand-rich x86-64 instruction model, and discusses how register organization, calling conventions, heterogeneous core organization, memory behavior, and low-power mechanisms shape observed performance and energy characteristics. The experimental part uses two native assembly benchmarks: a recursive Fibonacci workload and an integer matrix-multiplication workload. The analysis combines repeated timing measurements, processor-energy measurements, and cross-platform microarchitectural counter measurements from matched portable-C profiling runs. The Ryzen platform is decisively faster on the branch-heavy Fibonacci benchmark, while matrix multiplication shows no meaningful timing advantage for either platform in the present measurements. In contrast, the Apple platform is markedly more energy-efficient, reducing energy-to-solution by approximately 5.82$\times$ on Fibonacci and 6.38$\times$ on matrix multiplication. These results are interpreted as platform-level findings rather than as pure ISA-only effects, reflecting differences in implementation, system integration, and measurement methodology in addition to instruction-set structure.

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