internlm2:7b
OLLAMA GGUFinternlm2 · 7.7B · Q4_0
Mar 6, 2026 · Apple M4
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
77 vs 59
Hardware Fit
95 vs 65
Quality Score
69 vs 57
Hardware
internlm2:7b qwen3.5-9b-mlx
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
internlm2:7b qwen3.5-9b-mlx
Tokens/sec22.714.3
First chunk250 ms24 ms
TTFT250 ms13.4 s
Load time0.7 s13.3 s
Memory usage10.6 GB2.5 GB
Memory %33%10%
HW Fit Score Breakdown
internlm2:7b
Speed
45/50
TTFT
20/20
Memory
30/30
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
Quality
internlm2:7b
Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5-9b-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest