Community benchmark database for running LLMs on Apple Silicon Macs
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Updated
Apr 22, 2026 - Shell
Community benchmark database for running LLMs on Apple Silicon Macs
Hands-on CPU vs GPU benchmarks for Apple Silicon (M-series): PyTorch MPS, TensorFlow-Metal, MLX, and llama.cpp to measure TFLOP/s & tokens/sec and learn why GPUs accelerate training.
Lightweight shell script to benchmark token generation speed (tok/s) across Ollama models running in Docker. Auto-discovers all installed models or accepts a custom list via CLI. Uses Ollama's internal eval_duration timing for accurate results — no dependencies beyond curl and awk.
Simple tool for measuring inference engine performance under multi-user load
Pi extension that measures and displays model TPS in the status bar
Test AI provider latency (TTFB, TTFT, TPS) in your CI/CD pipeline. Benchmark OpenAI, Anthropic, Google, and more.
Local LLM inference benchmarker. Measures TPS, TTFT, and VRAM pressure across context sizes — from 2K to 256K tokens. Works with llama.cpp, Ollama, LM Studio, and any OpenAI-compatible server.
Speedtest for AI. Test latency to every major AI provider from your terminal.
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