deepscaler:1.5b
OLLAMA GGUFqwen2 · 1.8B · F16
Oct 11, 2026 · AMD Ryzen 5 5500
google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
Global Score
64 vs 71
Hardware Fit
98 vs 35
Quality Score
49 vs 86
Hardware
deepscaler:1.5b google/gemma-3-27b
MachineMicrosoft WSLMac mini
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM8 GB24 GB
GPUIntegrated / UnknownApple M4
OSUbuntu 26.04.1 LTSmacOS 26.3
Archx64arm64
Power Modeunknownbalanced
Performance
deepscaler:1.5b google/gemma-3-27b
Tokens/sec104.65.9
First chunk849 ms19 ms
TTFT850 ms1.8 s
Load time10.5 sN/A
Memory usage3.0 GB22.0 GB
Memory %40%92%
HW Fit Score Breakdown
deepscaler:1.5b
Speed
50/50
TTFT
20/20
Memory
28/30
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
Quality
deepscaler:1.5b
Reasoning
10/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
11/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Weak
google/gemma-3-27b
Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong 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