gemma-3-1b-it

gemma3 · 1B · Q4_K_M

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

16 GB · Microsoft Windows 10 Professionnel 10.0.19045

Tested on March 5, 2026

Top 67% Compare

Global Score

59 /100

Marginal

Hardware Fit

76/100

Quality

52/100

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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: 8.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 2.1 s
Time to first token How fast the model starts responding — lower is better: 2.1 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: 0.8 GB (5%)
Total tokens Total number of tokens generated across all benchmark prompts: 1115

Score breakdown

Speed

29/50

Time to first token

19/20

Memory

28/30

Quality

Reasoning

4/20

Coding

11/20

Instruction following

14/20

Structured output

13/15

Math

2/15

Multilingual

8/10

Category levels

Reasoning: Poor Coding: Adequate 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: 11fff0729e5c567408f509e37ad978b3e0e34c04f9530b09afdd2f0427d82bc2

Interpretation

Hardware fit: 76/100. Overall suitability: MARGINAL (Global 59/100). Category profile: Reasoning: Poor, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 26% (peak 34%)

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$ npm install -g metrillm@latest

$ metrillm

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