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C API

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 using the PerfPat and PerfTrie tools included in the C project.

Pattern Benchmarks

Below is a table of performance metrics relating to the C 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 23735 38418 49518
Time Per Detection (ms) 0.0105 0.0065 0.0051
Pattern detection performance without caching for Lite, Premium and Enterprise data files.
  Lite Premium Enterprise
Detections Per Second 33120 37434 36763
Time Per Detection (ms) 0.0076 0.0067 0.0068
Pattern detection performance with a cache size of 100000 for Lite, Premium and Enterprise data files.
  Lite Premium Enterprise
Startup Time (ms) 53 162 235
Average Memory Usage (Mb) 64 289 345
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 Perl Trie API. It shows the detection speed for a single request for each data set and where applicable also the mode of operation used.

 

  Lite Enterprise
Detections Per Second 4,859,711 4,874,613
Time Per Detection (ms) 0.000206 0.000205
Trie detection performance for Lite, Premium and Enterprise data files.

 

  Lite Enterprise
Startup Time (ms) 63 79
Average Memory Usage (Mb) 116 142
Trie memory usage and startup times for Lite, Premium and Enterprise data files.