unsloth/gemma-4-26b-a4b-it

gemma4 · 26B · Q3_K_M

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on April 5, 2026 · Submitted by cryptoepops

Top 3% Compare

Global Score

90 /100

Excellent

Hardware Fit

85/100

Quality

92/100

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Hardware

Machine: Mac mini
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 24 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 24.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 15 ms
Time to first token How fast the model starts responding — lower is better: 817 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: 16.8 GB (70%)
Total tokens Total number of tokens generated across all benchmark prompts: 1428

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

15/30

Quality

Reasoning

18/20

Coding

19/20

Instruction following

17/20

Structured output

14/15

Math

14/15

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 0.4.9+1
Model format: GGUF
Hardware profile: ENTRY
Result hash: b15eef7d0327c646f834f77b854ddd4b2d446f0936d83f618863728f8f79231c

Interpretation

Hardware fit: 85/100. Overall suitability: EXCELLENT (Global 90/100). 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.

Bench Environment

Power: AC CPU load: avg 23% (peak 27%)

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