8 ms·
Seems to lose in Mobilenet and win in other benches according to Nvidia's benchmarks. I'll wait for independent testing before I drop $100. https://devblogs.n
by remyM 8y ago
Seems to lose in Mobilenet and win in other benches according to Nvidia's benchmarks.
I'll wait for independent testing before I drop $100.
https://devblogs.nvidia.com/jetson-nano-ai-computing/ https://devblogs.nvidia.com/jetson-nano-ai-computing/
- m0zg 8y agoHorseshit in that bench right off the bat: I have a Google Edge TPU board right in front of me and its perf on SSD300 is 70fps, not 48. That's with the browser demo, which (as far as I can tell) includes realtime encoding of h264 for streaming. Almost twice as much as Jetson, and likely in a much more modest power envelope. NVIDIA is known for dishonesty in their benchmarks. Although TPU is, of course, a quantized play, and Maxwell will really suck for that, unless it's been tweaked specifically for this board. OTOH, fp32 models are _much_ easier to work with, and this thing has more RAM so you can waste it on 32 bit weights, and NVIDIA's software toolkit is second to none. So the Jetson looks pretty tempting as well. I just wish they didn't try to insult my intelligence.
- remyM 8y agoOh yeah - I never said to trust their benches. Take OEM benches especially vs competitors with the grainiest grains of salt. When people start getting their hands on them I'll start seeing independent benches, and I think anandtech got their hands on one. Hopefully soon™.
- nl 8y agoInteresting. I hadn't seen that, but the NVidia numbers on their own products seem credible. I do agree that the flexibility of having real CUDA cores is nice.