google/gemma-4-e4b

gemma4 · Q4_K_M

LENOVO 82JQ (AMD Ryzen 7 5800H)

16 GB · Microsoft Windows 11 家庭版中文版 10.0.26100

Tested on July 7, 2026

Top 73% Compare

Global Score

62 /100

Good

Hardware Fit

77/100

Quality

55/100

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Hardware

Machine: LENOVO 82JQ
CPU: AMD Ryzen 7 5800H
Cores: 16 total (16 perf)
Frequency: 3.2 GHz
RAM: 16 GB DDR4
GPU: NVIDIA GeForce RTX 3060 Laptop GPU
OS: Microsoft Windows 11 家庭版中文版 10.0.26100
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 27.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 23 ms
Time to first token How fast the model starts responding — lower is better: 480 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 13.2 GB (83%)
Total tokens Total number of tokens generated across all benchmark prompts: 1226

Score breakdown

Speed

48/50

Time to first token

20/20

Memory

9/30

Quality

Reasoning

18/20

Coding

17/20

Instruction following

5/20

Structured output

3/15

Math

11/15

Multilingual

1/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: BALANCED
Result hash: ebdcba2722f544ebb24adc20167424376399f44694304f015d8b9bf864bea894

Interpretation

Hardware fit: 77/100. Overall suitability: GOOD (Global 62/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Weak, Structured Output: Poor, Math: Strong, Multilingual: Poor.

Warnings

Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Bench Environment

Power: AC CPU load: avg 49% (peak 56%)

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