Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /john-rocky/apple-silicon-llm-bench
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 20h agoLive · 19h ago

john-rocky/apple-silicon-llm-bench

Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsAsk HN: MacBook vs. Dedicated GPU for LLMnewsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]

Related to

tutorialEvaluate a model properly

Related across the graph

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]newsAsk HN: MacBook vs. Dedicated GPU for LLMtutorialEvaluate a model properly
Knowledge path·NOpenAI and Broadcom announce chip designed for LLM inference at scale→NI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)→NHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]→Rjohn-rocky/apple-silicon-llm-bench

Topics

apple-siliconbenchmarkcoremliosllama-cppllmllm-inferencemacosmlxon-device-ai

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score46