gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
81 vs 69
Hardware Fit
90 vs 95
Quality Score
77 vs 58
Hardware
gemma-4-e2b-it-qat ornith-1.5:9b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat ornith-1.5:9b
Tokens/sec22.222.2
First chunk67 ms341 ms
TTFT1.1 s341 ms
Load time5.4 s4.8 s
Memory usage0.0 GB7.1 GB
Memory %0%45%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
Quality
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest