falcon3-1b-instruct

llama · 1B · 3bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 4, 2026

Top 78% Compare

Global Score

54 /100

Marginal

Hardware Fit

100/100

Quality

34/100

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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: 121.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±10.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 176 ms
Time to first token How fast the model starts responding — lower is better: 176 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: 0.7 GB (2%)
Total tokens Total number of tokens generated across all benchmark prompts: 1432

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

7/20

Coding

1/20

Instruction following

12/20

Structured output

7/15

Math

2/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: BALANCED
Result hash: 7eb9cf43fe11c41cd2a52f8572ac3dc47f92e7547f44c767460cc5b4b29d34dc

Interpretation

Hardware fit: 100/100. Overall suitability: MARGINAL (Global 54/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Weak, Math: Poor, Multilingual: Weak.

Bench Environment

Power: AC CPU load: avg 18% (peak 22%)

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