granite4.2:3b

granite · 3.7B · Q4_K_M

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 29, 2026 · Submitted by AAA

Top 39% Compare

Global Score

80 /100

Excellent

Hardware Fit

80/100

Quality

80/100

Get this model

🦙

Ollama

ollama pull granite4.2:3b

View on Ollama Library

ollama.com/library/granite4.2

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M1 Pro
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 16 GB LPDDR5
GPU: Apple M1 Pro
OS: macOS 26.6.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 46.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 135 ms
Time to first token How fast the model starts responding — lower is better: 135 ms
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 12.7 GB (79%)
Total tokens Total number of tokens generated across all benchmark prompts: 1023

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

10/30

Quality

Reasoning

18/20

Coding

13/20

Instruction following

12/20

Structured output

15/15

Math

14/15

Multilingual

8/10

Category levels

Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.33.1
Model format: GGUF
Hardware profile: ENTRY
Result hash: ffd160a8c8c9771466c7d6d6abaa1fa49d213e46fcd51e54e9deec1a0ec9d40e

Interpretation

Hardware fit: 80/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 49% (peak 54%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest