gemma4:26b-nvfp4
nvfp4
THINKING MODEL
MacBook Pro (Apple M4 Pro)
48 GB · macOS 26.4.1
Tested on May 25, 2026 · Submitted by jc_code
Global Score
85 /100
Not Rec.
Hardware Fit
80/100
Quality
87/100
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Hardware
- Machine
- MacBook Pro
- CPU
- Apple M4 Pro
- Cores
- 14 total (10 perf + 4 eff)
- Frequency
- 2.4 GHz
- RAM
- 48 GB LPDDR5
- GPU
- Apple M4 Pro
- OS
- macOS 26.4.1
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 65.7
- Standard deviation
- ±0.3
- First chunk latency
- 233 ms
- Time to first token
- 30.0 s
- Load time
- 5.0 s
- Memory usage
- 15.2 GB (32%)
- Total tokens
- 1460
- Thinking tokens (est.)
- ~775
Score breakdown
Speed
50/50
Time to first token
0/20
Memory
30/30
Quality
Reasoning
17/20
Coding
15/20
Instruction following
16/20
Structured output
15/15
Math
14/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.24.0
- Model format
- GGUF
- Hardware profile
- BALANCED
- Result hash
- 931ba27e801c7d450421eb97c2c0fae9a550b0e74228aa7a8f9387a6b18c1681
Interpretation
Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (Global 85/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.
Warnings
- Running on battery power — performance may be reduced.
Disqualifiers
- Time to first token too high: 30000ms (maximum: 17841ms for BALANCED profile)
Bench Environment
Power: Battery CPU load: avg 18% (peak 28%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest