lfm2-24b-a2b

Mac mini (Apple M4 Pro)

64 GB · macOS 15.7.4

Tested on March 6, 2026

Top 23% Compare

Global Score

78 /100

Good

Hardware Fit

100/100

Quality

68/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

Hardware

Machine: Mac mini
CPU: Apple M4 Pro
Cores: 14 total (10 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 64 GB LPDDR5
GPU: Apple M4 Pro
OS: macOS 15.7.4
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 105.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 252 ms
Time to first token How fast the model starts responding — lower is better: 252 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 0.1 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1192

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

12/20

Coding

14/20

Instruction following

12/20

Structured output

13/15

Math

8/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: d2366294a02146a2ff8ed0704beaa9645e546e201be2d493eabcc07599471eb4

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 78/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 26% (peak 30%)

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