hf.co/unsloth/gemma-4-E2B-it-GGUF:UD-Q8_K_XL

gemma4 · 4.65B · unknown

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 23, 2026 · Submitted by AAA

Top 26% Compare

Global Score

84 /100

Excellent

Hardware Fit

99/100

Quality

77/100

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Ollama

ollama pull hf.co/unsloth/gemma-4-E2B-it-GGUF:UD-Q8_K_XL

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ollama.com/library/hf.co/unsloth/gemma-4-E2B-it-GGUF

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GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M1 Pro
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 16 GB LPDDR5
GPU: Apple M1 Pro
OS: macOS 26.6.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 48.0
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: 167 ms
Time to first token How fast the model starts responding — lower is better: 167 ms
Load time Time to load the model into memory before inference: 4.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.3 GB (33%)
Total tokens Total number of tokens generated across all benchmark prompts: 1065

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

29/30

Quality

Reasoning

12/20

Coding

18/20

Instruction following

14/20

Structured output

15/15

Math

8/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: 3189206bbc08e7b334608ed06d23c46c72223da4d20b416a83271bb4bd0c12d8

Interpretation

Hardware fit: 99/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 35% (peak 42%)

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