gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
lmstudio-community/meta-llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q4_K_M
Mar 5, 2026 · Apple M4 Pro
Global Score
90 vs 78
Hardware Fit
78 vs 100
Quality Score
95 vs 69
Hardware
gemma4:e4b-mlx lmstudio-community…
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx lmstudio-community…
Tokens/sec46.146.0
First chunk284 ms245 ms
TTFT3.9 s245 ms
Load time0.1 sN/A
Memory usage10.8 GB4.6 GB
Memory %68%7%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
lmstudio-community/meta…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
lmstudio-community/meta…
Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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