gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
85 vs 46
Hardware Fit
95 vs 61
Quality Score
81 vs 40
Hardware
gemma4:e4b-mlx llama3.1:8b
MachineMacBook ProNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M2 ProCortex-A78AE
Cores106
RAM16 GB7 GB
GPUApple M2 ProIntegrated / Unknown
OSmacOS 26.5Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx llama3.1:8b
Tokens/sec47.37.8
First chunk258 ms1625 ms
TTFT258 ms1.6 s
Load time5.1 s21.8 s
Memory usage7.9 GB5.2 GB
Memory %49%71%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
llama3.1:8b
Speed
26/50
TTFT
20/20
Memory
15/30
Quality
gemma4:e4b-mlx
Reasoning
15/20
Coding
18/20
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
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor 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