granite-3.3-2b-instruct

granite · 2B · bf16

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 4, 2026

Top 53% Compare

Global Score

66 /100

Good

Hardware Fit

87/100

Quality

57/100

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Hardware

Machine: MacBook Air
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 18.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 541 ms
Time to first token How fast the model starts responding — lower is better: 541 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 4.7 GB (15%)
Total tokens Total number of tokens generated across all benchmark prompts: 1286

Score breakdown

Speed

37/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

10/20

Coding

10/20

Instruction following

14/20

Structured output

14/15

Math

2/15

Multilingual

7/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: BALANCED
Result hash: e05cf92b3a45cf8d3dcf6a11de87a9bd78585cc737ad0a41888586d268411c4e

Interpretation

Hardware fit: 87/100. Overall suitability: GOOD (Global 66/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Adequate.

Bench Environment

Power: AC CPU load: avg 17% (peak 23%)

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