gemma-2-2b-it

gemma2 · 2B · Q4_K_M

LENOVO 20BUS00700 (Intel Core™ i5-5300U)

16 GB · Microsoft Windows 10 Professionnel 10.0.19045

Tested on March 6, 2026

Top 71% Compare

Global Score

58 /100

Marginal

Hardware Fit

50/100

Quality

62/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

Hardware

Machine: LENOVO 20BUS00700
CPU: Intel Core™ i5-5300U
Cores: 4 total (4 perf)
Frequency: 2.3 GHz
RAM: 16 GB DDR3
GPU: Intel(R) HD Graphics 5500
OS: Microsoft Windows 10 Professionnel 10.0.19045
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 3.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 4.5 s
Time to first token How fast the model starts responding — lower is better: 4.5 s
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 1.6 GB (10%)
Total tokens Total number of tokens generated across all benchmark prompts: 1050

Score breakdown

Speed

14/50

Time to first token

12/20

Memory

24/30

Quality

Reasoning

11/20

Coding

8/20

Instruction following

14/20

Structured output

15/15

Math

4/15

Multilingual

10/10

Category levels

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: ENTRY
Result hash: 94085de5b6b27c72211839177b016cc36ba01ee0a294408f4283e2527c7768e9

Interpretation

Hardware fit: 50/100. Overall suitability: MARGINAL (Global 58/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 48% (peak 59%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest