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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

codestral:22b

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Jun 26, 2026 · Cortex-X925

Global Score
68 vs 67
Hardware Fit
93 vs 67
Quality Score
57 vs 67

Hardware

google/gemma-4-e4b codestral:22b
MachineLENOVO 82JQNVIDIA NVIDIA_DGX_Spark
CPUAMD Ryzen 7 5800HCortex-X925
Cores1620
RAM16 GB122 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b codestral:22b
Tokens/sec26.217.2
First chunk17 ms129 ms
TTFT572 ms129 ms
Load timeN/A11.6 s
Memory usage6.5 GB18.9 GB
Memory %41%16%

HW Fit Score Breakdown

google/gemma-4-e4b

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

codestral:22b

Speed
17/50
TTFT
20/20
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

codestral:22b

Reasoning
11/20
Coding
17/20
Instruction
9/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong

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