gemma-4-26b-a4b-it-qat

gemma4 · 26B · Q4_K_XL

ECO MODE

ASUS (AMD Ryzen 7 7800X3D 8-Core Processor)

31 GB · cachyos rolling

Tested on July 7, 2026

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Global Score

93 /100

Excellent

Hardware Fit

93/100

Quality

93/100

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Hardware

Machine: ASUS
CPU: AMD Ryzen 7 7800X3D 8-Core Processor
Cores: 16 threads (8 cores)
Frequency: 2.14 GHz
RAM: 31 GB
GPU: NVIDIA GeForce RTX 4090, Raphael
OS: cachyos rolling
Arch: x64
Power Mode: low-power

Performance

Tokens/sec Tokens generated per second — higher is better: 166.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 6 ms
Time to first token How fast the model starts responding — lower is better: 113 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 16.2 GB (53%)
Total tokens Total number of tokens generated across all benchmark prompts: 1431

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

23/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

18/20

Structured output

14/15

Math

13/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: BALANCED
Result hash: 29373b2cca24a11199fe12c718bc2ac421e8b5b1f4efb0de94ac6a38fa4c9be0

Interpretation

Hardware fit: 93/100. Overall suitability: EXCELLENT (Global 93/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
System was in low-power mode during this benchmark.

Bench Environment

Thermal: nominal Swap delta: +0.0 GB CPU load: avg 9% (peak 10%)

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