llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
81 vs 81
Hardware Fit
100 vs 82
Quality Score
73 vs 81
Hardware
llama-3.1-8b-instr… gemma4:12b-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… gemma4:12b-mlx
Tokens/sec35.625.3
First chunk52 ms761 ms
TTFT256 ms7.7 s
Load timeN/A3.6 s
Memory usage8.6 GB7.1 GB
Memory %28%44%
HW Fit Score Breakdown
llama-3.1-8b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
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
gemma4:12b-mlx
Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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