gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
microllm-10m:latest
OLLAMA GGUFllama · 10.00M · F16
Jun 28, 2026 · Apple M4 Pro
Global Score
81 vs 33
Hardware Fit
90 vs 100
Quality Score
77 vs 4
Hardware
gemma-4-e2b-it-qat microllm-10m:latest
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Pro
Cores1612
RAM15 GB24 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Pro
OSUbuntu 26.04 LTSmacOS 15.6.1
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat microllm-10m:latest
Tokens/sec22.21544.8
First chunk67 ms12 ms
TTFT1.1 s12 ms
Load time5.4 s0.0 s
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
microllm-10m:latest
Speed
50/50
TTFT
20/20
Memory
30/30
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
microllm-10m:latest
Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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