mistralai/ministral-3-3b

mistral3 · 3B · Q4_K_M

GMKtec EVO-X3 (AMD RYZEN AI MAX+ 395)

120 GB · Microsoft Windows 11 Pro 10.0.26300

Tested on October 31, 2026 · Submitted by Idiopathic

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Global Score

75 /100

Good

Hardware Fit

90/100

Quality

68/100

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Hardware

Machine: GMKtec EVO-X3
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 total (32 perf)
Frequency: 3 GHz
RAM: 120 GB LPDDR5
GPU: AMD Radeon(TM) 8060S Graphics
OS: Microsoft Windows 11 Pro 10.0.26300
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 49.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±4.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 17 ms
Time to first token How fast the model starts responding — lower is better: 677 ms
Load time Time to load the model into memory before inference: 7.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 48.1 GB (40%)
Total tokens Total number of tokens generated across all benchmark prompts: 1067

Score breakdown

Speed

45/50

Time to first token

18/20

Memory

27/30

Quality

Reasoning

10/20

Coding

16/20

Instruction following

15/20

Structured output

15/15

Math

3/15

Multilingual

9/10

Category levels

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 2ba05f59d801cb973dc7726009a6226ba7bfcc863c5a8a3b03e688d62310a160

Interpretation

Hardware fit: 90/100. Overall suitability: GOOD (Global 75/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Poor, Multilingual: Strong.

Bench Environment

CPU load: avg 20% (peak 20%)

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