ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
69 vs 82
Hardware Fit
95 vs 56
Quality Score
58 vs 93
Hardware
ornith-1.5:9b google/gemma-4-26b…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
ornith-1.5:9b google/gemma-4-26b…
Tokens/sec22.212.0
First chunk341 ms86 ms
TTFT341 ms2.8 s
Load time4.8 s57.2 s
Memory usage7.1 GB9.1 GB
Memory %45%59%
HW Fit Score Breakdown
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
Quality
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
google/gemma-4-26b-a4b-…
Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest