google/gemma-4-e4b

vlm · 7.9B · Q4_K_M

ASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM (AMD Ryzen 7 4800H)

15 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on October 1, 2026

Top 81% Compare

Global Score

59 /100

Marginal

Hardware Fit

62/100

Quality

58/100

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Hardware

Machine: ASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM
CPU: AMD Ryzen 7 4800H
Cores: 16 total (16 perf)
Frequency: 2.9 GHz
RAM: 15 GB DDR4
GPU: AMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPU
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 7.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 41 ms
Time to first token How fast the model starts responding — lower is better: 1.2 s
Load time Time to load the model into memory before inference: 71.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.9 GB (6%)
Total tokens Total number of tokens generated across all benchmark prompts: 1209

Score breakdown

Speed

12/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

6/20

Coding

14/20

Instruction following

12/20

Structured output

15/15

Math

3/15

Multilingual

8/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: BALANCED
Result hash: f613ef73fd05c187d12d6aa71c9f4feecdffe7e5713526d809bc6977aa625a3a

Interpretation

Hardware fit: 62/100. Overall suitability: MARGINAL (Global 59/100). Category profile: Reasoning: Weak, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+6.1 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +6.1 GB CPU load: avg 52% (peak 61%)

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