unsloth/gemma-4-e4b-it@q4_k_m
LM-STUDIO GGUFgemma4 · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
79 vs 90
Hardware Fit
68 vs 78
Quality Score
84 vs 95
Hardware
unsloth/gemma-4-e4… gemma4:e4b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M2 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M2 Pro
OSUbuntu 26.04 LTSmacOS 26.5
Archx64arm64
Power Modeperformancebalanced
Performance
unsloth/gemma-4-e4… gemma4:e4b-mlx
Tokens/sec10.846.1
First chunk32 ms284 ms
TTFT2.0 s3.9 s
Load time9.2 s0.1 s
Memory usage0.8 GB10.8 GB
Memory %5%68%
HW Fit Score Breakdown
unsloth/gemma-4-e4b-it@…
Speed
20/50
TTFT
18/20
Memory
30/30
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
Quality
unsloth/gemma-4-e4b-it@…
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
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