lmstudio-community/gemma-4-e4b-it-qat

gemma4 · Q4_0

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

15 GB · Ubuntu 26.04 LTS

Tested on June 29, 2026

Top 34% Compare

Global Score

77 /100

Good

Hardware Fit

68/100

Quality

81/100

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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: 11.4
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: 28 ms
Time to first token How fast the model starts responding — lower is better: 2.2 s
Load time Time to load the model into memory before inference: 6.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.6 GB (4%)
Total tokens Total number of tokens generated across all benchmark prompts: 1163

Score breakdown

Speed

21/50

Time to first token

17/20

Memory

30/30

Quality

Reasoning

14/20

Coding

19/20

Instruction following

15/20

Structured output

15/15

Math

8/15

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 0.4.16+1
Model format: GGUF
Hardware profile: BALANCED
Result hash: 8d0357f81315fbaaca39a3871cb54be15a8f9ce059124d4107e90a8d69a1172e

Interpretation

Hardware fit: 68/100. Overall suitability: GOOD (Global 77/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 58% (peak 58%)

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