gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
78 vs 81
Hardware Fit
72 vs 100
Quality Score
81 vs 73
Hardware
gemma4:e4b-mlx llama3.1:8b
MachineMacBook ProGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M2 ProIntel Core™ i5-14400F
Cores1016
RAM16 GB32 GB
GPUApple M2 ProNVIDIA GeForce RTX 5060 Ti
OSmacOS 26.5Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx llama3.1:8b
Tokens/sec26.970.2
First chunk222 ms58 ms
TTFT222 ms58 ms
Load time0.1 s4.1 s
Memory usage15.4 GB4.9 GB
Memory %96%15%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
2/30
llama3.1:8b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
15/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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