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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
83 vs 84
Hardware Fit
96 vs 82
Quality Score
78 vs 85

Hardware

google/gemma-4-e4b gemma4:12b-mlx
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M2 Pro
Cores3210
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M2 Pro
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma4:12b-mlx
Tokens/sec35.927.2
First chunk9 ms732 ms
TTFT182 ms8.1 s
Load timeN/A3.5 s
Memory usage6.5 GB7.1 GB
Memory %43%44%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

gemma4:12b-mlx

Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View gemma4:12b-mlx details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest