L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

  1. Home
  2. Models
  3. google/embeddinggemma-300m
  4. Speed on Apple M4 Max
Apple M4 Max~87 tok/s (Q4)

google/embeddinggemma-300m speed on Apple M4 Max

Quantization-specific throughput and VRAM requirements for google/embeddinggemma-300m running on Apple M4 Max.

Speed Snapshot
Topline estimate from compatibility data
Modelgoogle/embeddinggemma-300m
GPUApple M4 Max
Q4 speed87 tok/s
Q4 VRAM required1GB
Data Source
Calculation and benchmark status

Speed values come from the compatibility dataset (`estimatedTokensPerSec`) and are sorted by quantization.

For full verdict logic and alternate GPUs, see the canonical compatibility page.

Open full compatibility report

Quantization Speed Table

QuantizationVRAM neededVRAM availableSpeedVerdict
Q41GB128GB87 tok/s✅ Fits
Q81GB128GB65 tok/s✅ Fits
FP161GB128GB32 tok/s✅ Fits
Back to google/embeddinggemma-300mQ4 requirement pageFull compatibility breakdown