better way to find out UUID

[m1-debian] / doc / notes.txt

diff --git a/doc/notes.txt b/doc/notes.txt
index 5fbe8b96b230515ab46382dbc405651b4ceef794..c4f355bf57a08fd593894a8ebdf00d34d3595b17 100644 (file)
--- a/doc/notes.txt
+++ b/doc/notes.txt
@@ -423,3 +423,19 @@ https://gist.github.com/rqou/2dafd40cfe0362cc84c3ee26c68b2b36
 
 https://arvanta.net/alpine/install-alpine-m1/
 21:48 < mps> Glanzmann: no, but /etc/local.d/$scriptname.start
 
 https://arvanta.net/alpine/install-alpine-m1/
 21:48 < mps> Glanzmann: no, but /etc/local.d/$scriptname.start

+
+# geekbench
+16:08 <j`ey> looks like theres some results https://browser.geekbench.com/v5/cpu/13927518
+16:09 <j`ey> https://browser.geekbench.com/v5/cpu/search?utf8=%E2%9C%93&q=asahi
+16:10 <j`ey> jannau: https://www.geekbench.com/blog/2021/03/geekbench-54/
+16:14 <bluetail[m]> jannau: same m1 16 gb, 3000 more in multicore. How? https://browser.geekbench.com/v5/cpu/13856349
+16:18 <bluetail[m]> jannau: does it matter? I mean, it looks like we do have geekbench on arm linux...
+16:19 <bluetail[m]> https://www.geekbench.com/blog/2021/03/geekbench-54/
+16:24 <psydroid[m]1> https://browser.geekbench.com/v5/cpu/12429267
+16:25 <jannau> the multicore test doesn't scale well, here are results from a m1 ultra: https://browser.geekbench.com/v5/cpu/13932507
+16:31 <jannau> Chainfire: it's geekbench issue. kernel compiles are on the m1 ultra twice as fast as on the m1 max
+
+my air:  https://browser.geekbench.com/v5/cpu/13933197
+my mini: https://browser.geekbench.com/v5/cpu/13933401
+
+15:58 < kov> Glanzmann, jannau out of curiosity I ran geekbench on my Fedora VM under MacOS (M1 Max - 8 vcpus) https://browser.geekbench.com/v5/cpu/13951703