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Benchmarks

Speed x86

Speed ARM (RPi 4)

Ram Req.

Disk Space Req.

Face recognition lite model

7 ms

40 ms

30 MB

4 MB

Face recognition full model

145 ms

1200 ms

1.3 GB

250 MB

Face recognition 1 : N (N = 1,000,000)

Face and Landmark detection

10 ms

5 ms

66 ms

24 ms

1 KB / template

22 MB

1 KB / template

12 MB

Object detection

18 ms

86 ms

40 MB

94 MB

Liveness

18 ms

44 ms

28 MB

4 MB

*All benchmarks performed using 300x300 pixel images containing 1 face or object with CPU only. x86 benchmarks were performed on dual Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz, 128GB Ram Ubuntu 18.04.4. RPi 4 benchmarks performed using 1.5GHz 64-bit quad-core ARM Cortex-A72, 4GB RAM, Gentoo Base System release 2.6 (AArch64). Ram usage refers to maximum resident memory. 1:N identification speed and memory benchmarks recorded using full model with frVectorCompression flag enabled. Enrollment template size represents conservative average case, but it can be variable due to variable length in identity string.