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
Top 13% Compare
Global Score
88 /100
Excellent
Hardware Fit
100/100
Quality
83/100

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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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest