gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
llama4:scout
OLLAMA GGUFllama4 · 108.6B · Q4_K_M
Oct 3, 2026 · Cortex-X925
Global Score
90 vs 81
Hardware Fit
78 vs 64
Quality Score
95 vs 88
Hardware
gemma4:e4b-mlx llama4:scout
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M2 ProCortex-X925
Cores1020
RAM16 GB122 GB
GPUApple M2 ProDevice 2e12
OSmacOS 26.5Ubuntu 24.04.5 LTS
Archarm64arm64
Power Modebalancedperformance
Performance
gemma4:e4b-mlx llama4:scout
Tokens/sec46.119.6
First chunk284 ms677 ms
TTFT3.9 s677 ms
Load time0.1 s13.1 s
Memory usage10.8 GB63.4 GB
Memory %68%52%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
llama4:scout
Speed
20/50
TTFT
20/20
Memory
24/30
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
llama4:scout
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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