Score8.5
Popularity514.0
Risklow
TierGold
Score breakdown
Usefulness8.9
Novelty10.0
Momentum10.0
Maturity9.1
Open-source/build7.4
Evidence7.2
Workflow potential9.2
Setup ease6.5
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for Apple Silicon users running on-device LLMs (LM Studio, Ollama, llama.cpp, MLX) who want to see how a workload actually drives the GPU vs. the ANE vs. memory bandwidth — the dashboard specifically tracks on-device AI loads and the on-demand `Measure tok/s` benchmark reports tokens/sec + tokens/Wh per model which is the per-Mac evaluation surface; for engineers deciding between M-series c
Who should use it
Who should skip it
Skip if the source link, docs, or setup requirements do not match your workflow.
Risk explanation
Risk label needs manual review.