Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

codegemma:7b

OLLAMA GGUF

gemma · 9B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
68 vs 71
Hardware Fit
93 vs 91
Quality Score
57 vs 62

Hardware

google/gemma-4-e4b codegemma:7b
MachineLENOVO 82JQMacBook Air
CPUAMD Ryzen 7 5800HApple M4
Cores1610
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b codegemma:7b
Tokens/sec26.218.7
First chunk17 msN/A
TTFT572 ms320 ms
Load timeN/A0.8 s
Memory usage6.5 GB8.7 GB
Memory %41%27%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

codegemma:7b

Speed
31/50
TTFT
30/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

codegemma:7b

Reasoning
1/20
Coding
14/20
Instruction
13/20
Structured
15/15
Math
10/15
Multilingual
9/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View codegemma:7b 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