ornith-1.5:9b

qwen35 · 9.0B · Q4_K_M

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 24, 2026 · Submitted by AAA

Top 64% Compare

Global Score

69 /100

Good

Hardware Fit

95/100

Quality

58/100

Get this model

🦙

Ollama

ollama pull ornith-1.5:9b

View on Ollama Library

ollama.com/library/ornith-1.5

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M1 Pro
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 16 GB LPDDR5
GPU: Apple M1 Pro
OS: macOS 26.6.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 22.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 341 ms
Time to first token How fast the model starts responding — lower is better: 341 ms
Load time Time to load the model into memory before inference: 4.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 7.1 GB (45%)
Total tokens Total number of tokens generated across all benchmark prompts: 1429

Score breakdown

Speed

49/50

Time to first token

20/20

Memory

26/30

Quality

Reasoning

19/20

Coding

15/20

Instruction following

6/20

Structured output

2/15

Math

15/15

Multilingual

1/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: 0550a02eda4b0680472fba5636c5100bcddc0bf650615a9d3c5022f0be62300b

Interpretation

Hardware fit: 95/100. Overall suitability: GOOD (Global 69/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Weak, Structured Output: Poor, Math: Strong, Multilingual: Poor.

Bench Environment

Power: AC CPU load: avg 27% (peak 30%)

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