google/gemma-4-e4b

gemma4 · 7.9B · 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

81 /100

Excellent

Hardware Fit

84/100

Quality

79/100

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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: 47.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 23 ms
Time to first token How fast the model starts responding — lower is better: 1.9 s
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 13.2 GB (11%)
Total tokens Total number of tokens generated across all benchmark prompts: 1375

Score breakdown

Speed

44/50

Time to first token

10/20

Memory

30/30

Quality

Reasoning

14/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

7/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 0efc6c408ea11cfcfb128bc8c2d238e9c74987f3dd6b73bf89eb6a10235f42bd

Interpretation

Hardware fit: 84/100. Overall suitability: EXCELLENT (Global 81/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Bench Environment

CPU load: avg 18% (peak 23%)

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