gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
smollm2:1.7b
OLLAMA GGUFllama · 1.7B · Q8_0
Mar 2, 2026 · Apple M4
Global Score
76 vs 64
Hardware Fit
51 vs 100
Quality Score
87 vs 49
Hardware
gemma-3-27b-it-qat smollm2:1.7b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma-3-27b-it-qat smollm2:1.7b
Tokens/sec8.951.8
First chunk3976 msN/A
TTFT4.0 s84 ms
Load timeN/A0.4 s
Memory usage15.7 GB3.7 GB
Memory %25%12%
HW Fit Score Breakdown
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
smollm2:1.7b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
gemma-3-27b-it-qat
Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
smollm2:1.7b
Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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