Alasdair Allan<p>By me for <span class="h-card" translate="no"><a href="https://noc.social/@hackster_io" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>hackster_io</span></a></span>, "Benchmarking TensorFlow and TensorFlow Lite on Raspberry Pi 5." The big take away from these new benchmarks is that the Raspberry Pi 5 has similar performance when using TensorFlow Lite to the Coral TPU, displaying essentially the same inferencing speed as Google's accelerator hardware. <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/TinyML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TinyML</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> <a href="https://mastodon.social/tags/RaspberryPi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RaspberryPi</span></a> <a href="https://mastodon.social/tags/CoralTPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CoralTPU</span></a> <a href="https://www.hackster.io/news/benchmarking-tensorflow-and-tensorflow-lite-on-raspberry-pi-5-b9156d58a6a2" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">hackster.io/news/benchmarking-</span><span class="invisible">tensorflow-and-tensorflow-lite-on-raspberry-pi-5-b9156d58a6a2</span></a></p>