Has recommended Mini PC hardware stagnated? #20776
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I've been using a Minisforum UN100C which is an Intel N100 w/16GB of DDR5 to run Frigate. That had been mostly working but was running into two issues:
I did grab a supposed replacement fan before the country I live in kind of self-sanctioned itself wrt to getting stuff from overseas, but that one didn't work out and I don't want to end up paying huge fees now for another try. But each time this comes up I figure this machine was kind of old/cheap already when I got it and that was two+ years ago. So surely I could get something with more RAM and even better processor? But that's where I keep running stuck… I'm not a huge PC enthusiast and most of the sites I used to reference have been crowded out by AI slop which I don't know what to believe. So again with this starting point of a 16GB N100 that I purchased for $160 back in 2023 September, I search for Mini PC now and I see:
So basically when I got to find a Mini PC now they seem about the same as the one I bought two years ago, only now with inflation/tariffs so that the price isn't even really cheaper. Maybe I'm just old school and I guess I've been reading about the end of Moore's law for a while now but I thought at least we were getting more cores and more memory and better codec handling and whatnot…. Just weird to see that the N150 processor in everything now is supposedly an older architecture than the N100 that was cheap a couple years back. Anyway sorry this got long. I guess I would boil this down to questions:
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Based on the available documentation, the Beelink EQ13 with an Intel N100 CPU is currently recommended as the preferred mini PC for Frigate(1). The documentation notes it "Easily handles several 1080p cameras"(1) and has dual gigabit NICs for easy isolated camera networks(1). Regarding your specific questions: Current Hardware RecommendationsThe documentation does show the N100 as the primary recommended CPU for mini PCs running Frigate(1). For inference performance, the N100 achieves approximately 15ms for small-320 models and around 25ms for 320x320 detection(1). The documentation also notes that the N100 "Can only run one detector instance"(1). The Intel N150 is also listed in the hardware recommendations with slightly better performance: approximately 15ms inference time, with t-320 at 16ms and s-320 at 24ms(1). This suggests the N150 does offer some improvement over the N100 for Frigate workloads. Memory ConcernsYour 16GB memory issue is a real concern. The documentation explains that shared memory sizing is critical for Frigate(2). For multiple high-resolution cameras, you need to calculate the minimum shm size using the formula provided, and with 1080p+ cameras, memory requirements can add up quickly(2). AMD Ryzen OptionsFor AMD-based systems, Frigate supports ROCm for object detection on AMD discrete GPUs(3). The AMD 780M achieves around 14ms for 320x320 detection and the AMD 8700G achieves approximately 20ms for 320x320 and 40ms for 640x640(1). These are competitive with Intel options for Frigate workloads. Hardware AccelerationOne important note: the documentation shows that Intel CPUs from gen8-gen12 can use either Bottom line: The mini PC market for Frigate hasn't dramatically improved in the past 2 years. The N100 remains a solid choice, though the N150 shows marginal improvements. Your memory constraint (16GB) is likely more limiting than the CPU for your use case with multiple cameras. 📚 Sources:
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The current docs recommend a basic starting point. There are plenty of options out there with more RAM as the RAM is customizable. For example here is a current platform that would work very well https://www.amazon.com/MINISFORUM-Pro-125H-Barebone-Computer-HDMI2-1/dp/B0FH21FSZM?th=1 |
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In general the N# means higher is better, so N150 would be best.
AMD platform has significantly worse performance for machine learning so Intel is definitely recommended.