nemotron-3-nano

THINKING MODEL

Mac mini (Apple M4 Pro)

64 GB · macOS 15.7.4

Tested on March 6, 2026

Top 3% Compare

Global Score

93 /100

Excellent

Hardware Fit

100/100

Quality

90/100

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Hardware

Machine: Mac mini
CPU: Apple M4 Pro
Cores: 14 total (10 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 64 GB LPDDR5
GPU: Apple M4 Pro
OS: macOS 15.7.4
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 93.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 257 ms
Time to first token How fast the model starts responding — lower is better: 257 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: 0.1 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1303

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

19/20

Coding

18/20

Instruction following

14/20

Structured output

15/15

Math

14/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: e0cd3d3d8c291726abbbcdb59d0ffaa7e1ce57d2e841e3eab23dbbde71c640a6

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 93/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 30% (peak 34%)

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