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codestral:22b

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Jun 26, 2026 · Cortex-X925

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

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

Hardware

codestral:22b google/gemma-4-e4b
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 82JQ
CPUCortex-X925AMD Ryzen 7 5800H
Cores2016
RAM122 GB16 GB
GPUDevice 2e12NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modeperformancebalanced

Performance

codestral:22b google/gemma-4-e4b
Tokens/sec17.226.2
First chunk129 ms17 ms
TTFT129 ms572 ms
Load time11.6 sN/A
Memory usage18.9 GB6.5 GB
Memory %16%41%

HW Fit Score Breakdown

codestral:22b

Speed
17/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

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

Quality

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

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
View codestral:22b details | View google/gemma-4-e4b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest