qwen3:14b

qwen3 · 14.8B · Q4_K_M

MacBook Pro (Apple M1 Max)

32 GB · macOS 26.3

Tested on March 5, 2026 · Submitted by alph0x

Top 4% Compare

Global Score

90 /100

Excellent

Hardware Fit

97/100

Quality

87/100

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ollama pull qwen3:14b

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ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M1 Max
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M1 Max
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 24.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 300 ms
Time to first token How fast the model starts responding — lower is better: 300 ms
Load time Time to load the model into memory before inference: 3.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 13.8 GB (43%)
Total tokens Total number of tokens generated across all benchmark prompts: 962

Score breakdown

Speed

47/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

12/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.6
Model format: GGUF
Hardware profile: BALANCED
Result hash: f0a6aa17e5739b3659b2dfcf2dd6c604e83cb381217ed9c5fa19350128344f50

Interpretation

Hardware fit: 97/100. Overall suitability: EXCELLENT (Global 90/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 25% (peak 31%)

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