Student builds YOLO26n inference from scratch in ARM64 assembly on Raspberry Pi 4

Forward_Confusion902 · reddit · 2026-07-26

A bachelor's final project rebuilt YOLO26n inference from scratch in ARM64 assembly and C on a Raspberry Pi 4, without using any inference framework.

• The project focuses on low-level edge-AI optimization: ARM NEON SIMD, Winograd convolution, optimized GEMM kernels, cache-aware tiling, custom ARM64 micro-kernels, and operator fusion.
• The model pipeline was redesigned into a custom binary format and the author reports correct detections, but says the speedup was smaller than expected.
• The post is asking for feedback on CNN inference optimization, memory layout, and vectorization strategies.
• A repo is included for anyone who wants to inspect or benchmark the implementation.

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