gemma-2-2b-it
LM-STUDIO GGUFgemma2 · 2B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 25, 2026 · Apple M1 Pro
Global Score
58 vs 88
Hardware Fit
50 vs 100
Quality Score
62 vs 83
Hardware
gemma-2-2b-it gemma4:e4b-it-q8_0
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
gemma-2-2b-it gemma4:e4b-it-q8_0
Tokens/sec3.627.8
First chunk4509 ms204 ms
TTFT4.5 s204 ms
Load timeN/A6.6 s
Memory usage1.6 GB5.0 GB
Memory %10%31%
HW Fit Score Breakdown
gemma-2-2b-it
Speed
14/50
TTFT
12/20
Memory
24/30
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma-2-2b-it
Reasoning
11/20
Coding
8/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
gemma4:e4b-it-q8_0
Reasoning
14/20
Coding
19/20
Instruction
17/20
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