ornith-1.5-35b-a3b

qwen35moe · 35B · Q4_K_M

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

120 GB · Microsoft Windows 11 Pro 10.0.26300

Tested on November 1, 2026 · Submitted by Idiopathic

Top 21% Compare

Global Score

86 /100

Excellent

Hardware Fit

92/100

Quality

84/100

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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: 57.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±9.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 20 ms
Time to first token How fast the model starts responding — lower is better: 367 ms
Load time Time to load the model into memory before inference: 51.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 66.6 GB (56%)
Total tokens Total number of tokens generated across all benchmark prompts: 1299

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

22/30

Quality

Reasoning

14/20

Coding

19/20

Instruction following

15/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: HIGH-END
Result hash: f8d39ce8b7408d1af147fb4dfda55766f9fe9a92c6d23394229ae3c2660ea510

Interpretation

Hardware fit: 92/100. Overall suitability: EXCELLENT (Global 86/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 19% (peak 20%)

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