gemma-3-270m-it-qat-mlx
LM-STUDIO MLXgemma3_text · 270M · 4bit
Mar 4, 2026 · Apple M4
llama-3.2-1b-instruct
LM-STUDIO GGUFllama · 1B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
43 vs 50
Hardware Fit
99 vs 79
Quality Score
19 vs 37
Hardware
gemma-3-270m-it-qa… llama-3.2-1b-instr…
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
gemma-3-270m-it-qa… llama-3.2-1b-instr…
Tokens/sec344.29.9
First chunk173 ms1668 ms
TTFT173 ms1.7 s
Load timeN/AN/A
Memory usage0.3 GB0.8 GB
Memory %1%5%
HW Fit Score Breakdown
gemma-3-270m-it-qat-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
llama-3.2-1b-instruct
Speed
32/50
TTFT
20/20
Memory
27/30
Quality
gemma-3-270m-it-qat-mlx
Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
llama-3.2-1b-instruct
Reasoning
4/20
Coding
3/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor 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