7-Zip benchmark on Raspberry Pi

The 7-Zip Benchmark command


Measures speed of the CPU and checks RAM for errors.

You can install 7-Zip from the Raspbian Desktop – this is how:

  • Click on the Raspberry in the top left of your screen:
  • Go down to “Preferences” –> and click on “Add / Remove Software”:
  • When the new window opens, type “p7zip” in the search box and hit enter
  • Click both of the checkboxes for “p7zip” (they should be the last 2 choices)

You can also install 7-Zip from the command line:

sudo apt-get install p7zip


b [number_of_iterations] [-mmt{N}] [-md{N}] [-mm={Method}]

There are two tests:

  1. Compressing with LZMA method
  2. Decompressing with LZMA method

The benchmark shows a rating in MIPS (million instructions per second). The rating value is calculated from the measured CPU speed and it is normalized with results of Intel Core 2 CPU with multi-threading option switched off. So if you have Intel Core 2 Duo, rating values must be close to real CPU frequency.

You can change the upper dictionary size to increase memory usage by -md{N} switch. Also, you can change the number of threads by -mmt{N} switch.

The Dict column shows the dictionary size. For example, 21 means 2^21 = 2 MB.

The Usage column shows the percentage of time the processor is working. It’s normalized for a one-thread load. For example, 180% CPU Usage for 2 threads can mean that average CPU usage is about 90% for each thread.

The R / U column shows the rating normalized for 100% of CPU usage. That column shows the performance of one average CPU thread.

Avr shows averages for different dictionary sizes.

Tot shows averages of the compression and decompression ratings.

Compression speed and rating strongly depend on memory (RAM) latency.

Decompression speed and rating strongly depend on the integer performance of the CPU. For example, the Intel Pentium 4 has big branch misprediction penalty (which is an effect of its long pipeline) and pretty slow multiply and shift operations. So, the Pentium 4 has pretty low decompressing ratings.

You can run a CRC calculation benchmark by specifying -mm=crc. That test shows the speed of CRC calculation in MB/s. The first column shows the size of the block. The next column shows the speed of CRC calculation for one thread. The other columns are results for multi-threaded CRC calculation.

With -mm=* switch you can run a complex benchmark. It tests hash calculation methods, compression and encryption codecs of 7-Zip. Note that the tests of LZMA have a big weight in “total” results. And the results are normalized with AMD K8 CPU in a complex benchmark.


#Runs the benchmark once - takes about 75 seconds on my
#Raspberry Pi 3B+ so please be patient...
7zr b
#You can run and save the output to a file if you wish
#You will not see it running this time while the benchmark
#is running - again please be patient for about 75 seconds
7zr b > 7zip-basic-benchmark-example.txt
#To view the output later or to share it with others
cat 7zip-basic-benchmark-example.txt
#Runs the benchmark twice and give you an average of the
#2 tests - this takes about 150 seconds for this test
7zr b ; 7zr b
#Runs the complete 7-zip benchmark - please be patient...
#There is more information @ http://www.single-board.com 
7zr b -mm=*
#Runs the benchmark 30 times and gives you an average
#This test takes a very long time on the Raspberry Pi
#Watch my YouTube video to see all the cores working on
#Conky - and I am using SimpleScreenRecorder and 
#Asciinema to record everything your seeing today.
7zr b 30

Click here for a direct link to the Asciicast in a new window.

To learn how to install Asciinema click here.

Here is the Asciicast:

NOTE: first 70 seconds don’t show anything as I was showing how to install 7-Zip through the Raspberry Pi GUI. You can see that in the YouTube video below.

To watch this YouTube video of the whole process in a new window, click here.

Simple Screen Recorder

Otherwise, click on the video below and enjoy!


I use several different software programs and hardware at the same time in this video. This is a culmination of hardware and software that I have used in my previous Asciicast, blogs, and videos. If you want to ask me specific questions I am always available via email, just be patient 🙂


If you are interested in testing Single Board Computers like I am, you might just want to head over to “Performance Analysis Methodology” and read what is there. It is very interesting and worth the time if you’re serious about accurate results and not just a stack of data.

Conky Desktop Widget for Raspberry Pi

So what is Conky? Conky is a free, light-weight system monitor for X, that displays any kind of information on your desktop and works on Raspberry Pi. It is highly configurable and is able to monitor many system variables including the status of the CPU, memory, swap space, disk storage, temperatures, processes, and much more.


Conky can display more than 300 built-in objects, including support for:

  • A plethora of OS stats (uname, uptime, CPU usagemem usage, disk usage, “top” like process stats, and network monitoring, just to name a few).
  • Built-in IMAP and POP3 support.
  • Built-in support for many popular music players (MPDXMMS2BMPxAudacious).
  • Can be extended using built-in Lua support, or any of your own scripts and programs (more).
  • Built-in Imlib2 and Cairo bindings for arbitrary drawing with Lua (more).
  • Runs on Linux, FreeBSD, OpenBSD, DragonFlyBSD, NetBSD, Solaris, Haiku OS, and macOS and much much more.

There is a great installation guide over at Nova Spirit Tech. I have copied it for your convenience below.

How to Install Conky:

I am sorry to say that there is no GUI install for Conky so we are going to have it install it from the command line. Open a terminal window and copy and paste the BLUE CODE below:

sudo apt-get install conky -y

Now download the conky configuration file

wget -O /home/pi/.conkyrc https://raw.githubusercontent.com/novaspirit/rpi_conky/master/rpi3_conkyrc

To autostart conky on boot we will need to create 2 files:

1. will be a shell script to delay the boot process of conky.

2. will be the conky desktop files to allow lxdesktop to start the shell script

To create the shell script

sudo nano /usr/bin/conky.sh

Paste this into the conky.sh file

(sleep 4s && conky) &
exit 0

Now create the conky.desktop file for the autostart process

sudo nano /etc/xdg/autostart/conky.desktop

Then paste this into the file

[Desktop Entry]
Exec=sh /usr/bin/conky.sh
Comment=system monitoring tool.

The last thing to do is to reboot to make sure everything is working. As you can see from the following picture it is!

I have included the video below for your step by step installation. In the above picture, I installed it on my Raspberry Pi 3B+. In the video below I installed it on my Raspberry Pi Zero WH.

gPodder works well on Raspberry Pi

If you listen to podcasts like I do or watch regular screencasts or would like to do so in the future you should consider using gPodder. gPodder is a simple, open source podcast client written in Python using GTK+. In development since 2005 with a proven, mature codebase.

While I relax and even sometimes when I work I want to listen to something in the background. The music fits my needs most times and when it doesn’t there are Podcasts to occupy my mind and imagination. It works on Windows, macOS, Linux and even on the Raspberry Pi, quite nicely in fact.

You can create an account at http://www.gPodder.net, it’s free, and you can sync what you listen to across all of your devices. I have my work Windows system, my at home Linux Mint system and my Raspberry Pi 3B+ all synced together and running gPodder. It’s easy to install and you can watch the video below for step by step of the setup process so you can do the same. Before you know it you will also be listening to things that could capture your imagination. So let’s get started!

Today’s video was recorded with the RESPEAKER and SimpleScreenRecorder.

Final Thoughts:

As you can see this works very well on the Raspberry Pi. I use this software daily on many different platforms and the fact that it works so well makes it easy to recommend to all of you.

So that’s it for another blog & video. I hope you have enjoyed what your have seen. If you’re watching this video on YouTube please press the like button, if you haven’t subscribed please subscribe, and I hope to talk to you again very soon!

Audacity works very well on Raspberry Pi

Audacity is an easy-to-use, multi-track audio editor, and recorder for Windows, Mac OS X, GNU/Linux and other operating systems. I have installed it on a Raspberry Pi 3B+ and it works very well.

Today I will show you how to install Audacity using the SimpleScreenRecorder software and the RESPEAKER. So what is Audacity & what can it do for you?

  • Recording

    Audacity can record live audio through a microphone or mixer, or digitize recordings from other media.

  • Export / Import

    Import, edit and combine sound files. Export your recordings in many different file formats, including multiple files at once.

  • Sound Quality

    Supports 16-bit, 24-bit, and 32-bit. Sample rates and formats are converted using high-quality resampling and dithering.

  • Plugins

    Support for LADSPA, LV2, Nyquist, VST, and Audio Unit effect plug-ins. Nyquist effects can be easily modified in a text editor – or you can even write your own plug-in.

  • Editing

    Easy editing with Cut, Copy, Paste and Delete. Also unlimited sequential Undo (and Redo) in the session to go back any number of steps.

  • Effects

    Real-time preview of LADSPA, LV2, VST, and Audio Unit (macOS) effects. Plug-in Manager handles plug-in installation and addition/removal of effects and generators from the menus.

  • Accessibility

    Tracks and selections can be fully manipulated using the keyboard. Large range of keyboard shortcuts.

  • Analysis

    Spectrogram view mode for visualizing and selecting frequencies. Plot Spectrum window for detailed frequency analysis.

Final Thoughts:
The setup I have created here is going to be a good foundation for future videos and tutorials. The microphone to me is a must for what I want to do and the RESEAPKER does that very well. Hopefully, future models of the Raspberry Pi will have an onboard microphone and make this setup even easier for the masses. Catch you next week!

ReSpeaker 4-Mic Array for the Raspberry Pi

Today’s project is a ReSpeaker 4-Mic Array for the Raspberry Pi. It is a quad-microphone expansion board designed for AI and voice applications. This means that we can build a more powerful and flexible voice product that integrates Amazon Alexa Voice Service, Google Assistant, and so on.

The Respeaker comes assembled and easily fits onto any Raspberry Pi provided that the header is already installed to it.

Mount ReSpeaker 4-Mic Array on Raspberry Pi, make sure that the pins are properly aligned when stacking the ReSpeaker 4-Mic Array for Raspberry Pi.

Note: Hot-plugging ReSpeaker is not allowed. It will damage the respeaker.

Install driver

The AC108 codec is not supported by Pi kernel builds currently, we have to build it manually.

sudo apt-get update
sudo apt-get upgrade
git clone https://github.com/respeaker/seeed-voicecard.git
cd seeed-voicecard
sudo ./install.sh

  • Step 3. Then select the headphone jack on Raspberry Pi for audio output:

sudo raspi-config
# Select 7 Advanced Options
# Select A4 Audio
# Select 1 Force 3.5mm (‘headphone’) jack
# Select Finish

BONUS: Play with APA102 LEDs

Each on-board APA102 LED has an additional driver chip. The driver chip takes care of receiving the desired color via its input lines and then holding this color until a new command is received.

  • Step 1. Activate SPI:
    • sudo raspi-config
    • Go to “Interfacing Options”
    • Go to “SPI”
    • Enable SPI
    • Exit the tool
  • Step 2. Get APA102 LEDs Library and examples

pi@raspberrypi:~ $ cd /home/pi
pi@raspberrypi:~ $ git clone https://github.com/respeaker/4mics_hat.git
pi@raspberrypi:~ $ cd /home/pi/4mics_hat
pi@raspberrypi:~/4mics_hat $ sudo apt install python-virtualenv 
pi@raspberrypi:~/4mics_hat $ virtualenv –system-site-packages ~/env 
pi@raspberrypi:~/4mics_hat $ source ~/env/bin/activate 
(env) pi@raspberrypi:~/4mics_hat $ pip install spidev gpiozero

  • Step 3. Then run the example code under virtualenv, now we can see the LEDs blink like Google Assistant.

(env) pi@raspberrypi:~/4mics_hat $ python pixels_demo.py

There is a LOT more you can do with this board but I will leave that for you to discover. There is a great WiKi on this over at the Seeed Studio website.

The main reason for me wanting to install the Respeaker is that there are two programs that I used on a regular basis that require a microphone to work and this is the perfect solution for my needs. Those programs are:

Both are easy to install and I will show you how to install both of these in a future video.

Final Thoughts:

The Respeaker is a great add-on for the Raspberry Pi. It is expensive but it has a lot to offer. For all of my future projects, this seems for now to be a good choice. See you next week!