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.

Below is a table of performance metrics relating to the Node.js 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	19323	17137	16474
Time Per Detection (ms)	0.0517	0.0583	0.0607

 

	Lite	Premium	Enterprise
Startup Time (ms)	60	209	204
Average Memory Usage (Mb)	66	127	155

Below is a table of performance metrics relating to the NodeJs 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.

 

Single Thread	Lite	Enterprise
Detections Per Second	234,611	234,691
Time Per Detection (ms)	0.004263	0.004261

 

	Lite	Enterprise
Startup Time (ms)	63	79
Average Memory Usage (Mb)	116	142