gemma4:e4b-it-q8_0
gemma4 · 8.0B · Q8_0
MacBook Pro (Apple M1 Pro)
16 GB · macOS 26.6.2
Tested on August 25, 2026 · Submitted by AAA
Global Score
88 /100
Excellent
Hardware Fit
100/100
Quality
83/100
Get this model
🦙
Ollama
ollama pull gemma4:e4b-it-q8_0 View on Ollama Library
ollama.com/library/gemma4
Get it in LM Studio
Search and download models directly from the app
🤗
Find on HuggingFace
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
- 27.8
- Standard deviation
- ±0.8
- First chunk latency
- 204 ms
- Time to first token
- 204 ms
- Load time
- 6.6 s
- Memory usage
- 5.0 GB (31%)
- Total tokens
- 1034
Score breakdown
Speed
50/50
Time to first token
20/20
Memory
30/30
Quality
Reasoning
14/20
Coding
19/20
Instruction following
17/20
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
- Ollama 0.32.15
- Model format
- GGUF
- Hardware profile
- ENTRY
- Result hash
- 966f34a014c373f2de6a963cb825f8f3bc84138211c4492676c61682157f9ef3
Interpretation
Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.
Bench Environment
Power: AC CPU load: avg 39% (peak 48%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest