llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
81 vs 85
Hardware Fit
100 vs 95
Quality Score
73 vs 81
Hardware
llama-3.1-8b-instr… gemma4:e4b-mlx
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M2 Pro
Cores1210
RAM31 GB16 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M2 Pro
OSNobara Linux 43macOS 26.5
Archx64arm64
Power Modeperformancebalanced
Performance
llama-3.1-8b-instr… gemma4:e4b-mlx
Tokens/sec35.647.3
First chunk52 ms258 ms
TTFT256 ms258 ms
Load timeN/A5.1 s
Memory usage8.6 GB7.9 GB
Memory %28%49%
HW Fit Score Breakdown
llama-3.1-8b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
Quality
llama-3.1-8b-instruct
Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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
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