llama3.2:1b

llama · 1.2B · Q8_0

ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV (AMD Ryzen 9 8945HS)

15 GB · Microsoft Windows 11 Home 10.0.26200

Tested on March 5, 2026 · Submitted by Kenaa

Top 62% Compare

Global Score

62 /100

Good

Hardware Fit

91/100

Quality

50/100

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ollama pull llama3.2:1b

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ollama.com/library/llama3.2

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GGUF versions & quantizations

Hardware

Machine: ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
CPU: AMD Ryzen 9 8945HS
Cores: 16 total (16 perf)
Frequency: 4 GHz
RAM: 15 GB LPDDR5
GPU: NVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M Graphics
OS: Microsoft Windows 11 Home 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 170.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±6.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 142 ms
Time to first token How fast the model starts responding — lower is better: 142 ms
Load time Time to load the model into memory before inference: 3.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.6 GB (11%)
Total tokens Total number of tokens generated across all benchmark prompts: 1099

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

21/30

Quality

Reasoning

4/20

Coding

13/20

Instruction following

14/20

Structured output

13/15

Math

0/15

Multilingual

6/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.6
Model format: GGUF
Hardware profile: BALANCED
Result hash: 7cebade1b50bab13608f610491f1a44560d9cf76eaae7deb663618e252e07a5a

Interpretation

Hardware fit: 91/100. Overall suitability: GOOD (Global 62/100). Category profile: Reasoning: Poor, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Adequate.

Bench Environment

Thermal: nominal Power: AC CPU load: avg 9% (peak 10%)

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