rnj-1:8b
OLLAMA GGUFgemma3 · 8.3B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
gemma4:e2b-mlx
OLLAMA GGUFAug 26, 2026 · Apple M1 Pro
Global Score
80 vs 88
Hardware Fit
93 vs 79
Quality Score
74 vs 92
Hardware
rnj-1:8b gemma4:e2b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
rnj-1:8b gemma4:e2b-mlx
Tokens/sec22.372.8
First chunk404 ms134 ms
TTFT404 ms30.0 s
Load time3.7 s2.6 s
Memory usage8.3 GB5.7 GB
Memory %52%36%
HW Fit Score Breakdown
rnj-1:8b
Speed
49/50
TTFT
20/20
Memory
24/30
gemma4:e2b-mlx
Speed
50/50
TTFT
0/20
Memory
29/30
Quality
rnj-1:8b
Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong
gemma4:e2b-mlx
Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
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