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Benchmarks

This page provides guidance figures for detection speeds, memory usage and startup times for Pattern and Trie algorithms. Pattern is more memory efficient and can be run directly from disk while Trie requires considerably more main memory but delivers millions of detections per second. For more information check out the how device detection works page.

Results stated are detections per core on a quad core i7 2.2GHz CPU.

Pattern Benchmarks

Below is a table of performance metrics relating to the GoLang Pattern API. It shows the detection speed for a single request for each data set and where applicable also the mode of operation used.

 

  Lite Premium Enterprise
Detections Per Second 45454 40000 47619
Time Per Detection (ms) 0.022 0.025 0.021
Pattern detection performance for Lite, Premium and Enterprise data files.

 

  Lite Premium Enterprise
Startup Time (ms) 416 1014 1212
Average Memory Usage (Mb) 45.5 100.5 134.5
Pattern memory usage and startup times for Lite, Premium and Enterprise data files.

Hash Trie Benchmarks

Below is a table of performance metrics relating to the GoLang Hash Trie API. It shows the detection speed for a single request for each data set and where applicable also the mode of operation used.

 

4 Threads Lite Premium Enterprise
Detections Per Second 2,234,919 2,294,669 2,303,404
Time Per Detection (ms) 0.000448 0.000437 0.000435
Hash Trie detection performance for Lite, Premium and Enterprise data files.

 

  Lite Premium Enterprise
Startup Time (ms) 31 34 35.5
Average Memory Usage (Mb) 134 154 163
Hash Trie memory usage and startup times for Lite, Premium and Enterprise data files.