I have been monitoring the activities associated with the Coral accelerator for the last couple of months but for all the hype, IMHO it's performance is significantly less than my Nvidia 1060 card. Presently, Coral performance seems to be limited to a tiny or small model size which in turn substantially reduces reliable identification.
Coral is also said to use very low power in the range of 2-4 Watts. My 1060 card idles between 4-5 Watts and runs large models and very rarely needs to turn on the cooling fan.
So, my question is, am I missing something? I can imagine many less informed people jumping on the band wagon placing orders for Coral processors and then being very disappointed with the outcome.
Presently from everything I have read, the Coral accelerator is not suitable for serious security applications. Unless the accelerator has hidden untapped potential that I am unaware of, its use will be best utilised in other less demanding applications.
Excellent question, but I would challenge your 1060 card idles between 4-5 watts (that may be what it reports, but even under clocked\volted will be 10+), secondly that is idle most 1060 will be running 55w plus, but agree they won't hit their peaks.
On-Paper the Coral has extreme performance at 1.5watts.
In the real-world, paired with Frigate or ProjectAI agree the performance is far from extreme.
It's also far too new for Production Use, but here is the thing, it holds extreme potential to improve the efficiency of NVR solutions and is closer targeted at Image Recognition than a GPU.
My primary NVR has a 3060ti (just happened to be the most affordable GPU I could find at the time), and I was getting 30ms response times.
With Coral (default clock), and CodeProhect-Ai I get around 110ms response times. So much slower, but actually more than sufficient for an NVR use case.
If I was doing a new build, would I consider a Coral over a GPU? Honestly unsure, but the module that fits in the WiFi slot for $29 with 1.5w power draw is very tempting for a low power consumption build.
Another use case may be poor\low ventilation, removing the GPU from my rig, drastically reduced the heat output.