unsloth/qwen3.5-9b@q4_k_m

qwen35 · 9B · Q4_K_M

Docker Container (Intel Gen Intel® Core™ i9-11900H)

15 GB · Ubuntu 26.04 LTS

Tested on June 29, 2026

Top 49% Compare

Global Score

73 /100

Good

Hardware Fit

52/100

Quality

82/100

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Hardware

Machine: Docker Container
CPU: Intel Gen Intel® Core™ i9-11900H
Cores: 16 threads (8 cores)
Frequency: 2.5 GHz
RAM: 15 GB
GPU: TigerLake-H GT1 [UHD Graphics]
OS: Ubuntu 26.04 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 6.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 13 ms
Time to first token How fast the model starts responding — lower is better: 4.1 s
Load time Time to load the model into memory before inference: 10.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.2 GB (14%)
Total tokens Total number of tokens generated across all benchmark prompts: 1244

Score breakdown

Speed

11/50

Time to first token

11/20

Memory

30/30

Quality

Reasoning

15/20

Coding

17/20

Instruction following

16/20

Structured output

15/15

Math

9/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.16+1
Model format: GGUF
Hardware profile: BALANCED
Result hash: 54497f413df39b2d5fb2c5e610abf535ba26259d0fc6bf192da661aaa1927ad4

Interpretation

Hardware fit: 52/100. Overall suitability: GOOD (Global 73/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal Swap delta: +0.0 GB CPU load: avg 58% (peak 58%)

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