Official macOS tool to work with profiling, both based on software events and on hardware events (performance counters), is Instruments tool - https://help.apple.com/instruments/mac/current/. It seems to be part of XCode development tools.
This tool have some limited variants to collect profiles from command-line mode, check https://help.apple.com/instruments/mac/current/#/devb14ffaa5
https://help.apple.com/instruments/mac/current/#/devba105ecc
Launch Instruments from the command line
You can use the open command to launch any app in OS X via Terminal,
including Instruments.
Launch Terminal (in /Applications/Utilities/).
Run the following command:
open /Applications/Xcode.app/Contents/Applications/Instruments.app
The Instruments app launches.
Note: You can also use either of two command-line utilities to profile
an app without actually displaying the Instruments user interface.
instruments — This utility profiles an app using a specified template. The results can be saved to a file and then manually opened
in the main Instruments app for viewing and analysis. To learn more,
go to Profile with the instruments command-line tool.
To get IPC or branches, use GUI to create profile with usage of counters usage (1 or 2) and save it as template, and then use CLI tool instruments to collect trace data. Trace file can be viewed with Instruments GUI; there was incomplete attempt to decode that files.
The page https://medium.com/@pavelkucera/counting-branch-mispredictions-on-macos-7397ae8c5b51 also lists another variant to work with hardware counters on macOS, the https://github.com/opcm/pcm project:
You first have to build the tool, but then it is easy to use:
run pmu-query.py
enter “BR_INST_RETIRED.NOT_TAKEN”, the result should be similar to: cpu/umask=0x10,event=0xC4,name=BR_INST_RETIRED.NOT_TAKEN/
run ./pcm-core.x -e event where “event” stands for the result from the previous step
This gives you continuous results for all the running processes. Find
info on how to profile a single process in ./pmc-core.x --help
The good news is that results are easily readable as they can be
output as csv file. The bad news is that profiling a single process
still includes activity from other processes.