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
Top 12% Compare
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest