Introduction
Overview
Explore llama.cpp architecture and the inference workflow
Integrate Streamline Annotations into llama.cpp
Analyze token generation performance with Streamline profiling
Implement operator-level performance analysis with Annotation Channels
Examine multi-threaded performance patterns in llama.cpp
Next Steps
| Skill level: | Advanced | 
| Reading time: | 1 hr | 
| Last updated: | 08 Oct 2025 | 
| Skill level: | 
| Advanced | 
| Reading time: | 
| 1 hr | 
| Last updated: | 
| 08 Oct 2025 | 
This is an advanced topic for software developers, performance engineers, and AI practitioners who want to optimize llama.cpp performance on Arm-based CPUs.
Upon completion of this Learning Path, you will be able to:
Before starting, you will need the following: