Benchmark: Difference between revisions
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Revision as of 06:12, 25 November 2020
Geekbench
Geekbench is a cross-platform benchmark that measures the performance of your computer's processor and memory.
Sysbench
sudo apt-get update sudo apt-get install sysbench sysbench --num-threads=1 --test=cpu --cpu-max-prime=20000 --validate run # sysbench version is 0.4.12, Ubuntu 16.04 sysbench --threads=1 cpu --cpu-max-prime=20000 --validate run # sysbench version 1.0.11, Ubuntu 18.04
The following one was used to benchmark Raspberry Pi 32-bit vs 64-bit (Novaspirit Tech).
sysbench --threads=4 --test=cpu --cpu-max-prime=300000 run && 7za b
Two websites have a database for benchmarks.
| Device | Total time (1-thread) | Total time (all threads) | Average CPU Mark |
|---|---|---|---|
| Intel Core i7-8750H @ 2.20GHz Macbook Pro 2018 (6 cores) | 12407 | ||
| Xeon E5-1650 (12 threads) | 23s | 2.5s | 11808 |
| Intel i5-4590T (4-core) Dell Optiplex 3020M | 5622 | ||
| Intel i5 8259U (4-core) NUC8i5BEH 4-core 8-thread | |||
| AMD Phenom II X6 1055T (6-core) | 28s | 5.5s | 5058 |
| Intel Core2 Quad Q9500 @2.8GHz (4-core) | 3542 | ||
| Intel Pentium J5005 4-core 4-thread | |||
| Intel Core2 Duo E8400 @3.0GHz (2-core) | 21.5s | 11.5s | 2178 |
| Intel Core i3-4010U @ 1.7GHz (4-core) | 47.2s | 13.4s | 2437 |
| Core(TM) i3-3110M @ 2.40GHz (4-core) | 35s | 10s | 3049 |
| Core(TM) i7-2640M CPU @ 2.80GHz (Lenovo T420s) | 10s | 10s | 3933 |
| Atom(TM) z3735G @ 1.33GHz (hp stream 8 2-core) | 918 | ||
| Atom(TM) z2760 @ 1.8GHz (lenovo lynx 2-core) | 576 | ||
| Atom(TM) N270 @ 1.60GHz (EEE PC 2-core) | 192s | 120s | 272 |
| RPi1 (1-core) | 1412s | ||
| RPi2 (4-core) | 768s | 191s | |
| RPi3B BCM2837 SoC @ 1.2Ghz (4-core) | |||
| RPi3B+ BCM2837 SoC @ 1.4GHz (4-core) | |||
| RPi0-W (1-core) | 624s | ||
| BeagleBlack (1-core) | 673s | ||
| UDoo (2-core) | 603s | 302s | |
| UDoo X86 Advanced Celeron N3160 2.24 GHZ turbo speed (2-core) | 10s | 10s | 1472 |
| ODroid xu4 (8-core) | 372s | 60s |
Note that
- The /proc/cpuinfo shows only the current CPU freq. If we specify all threads when we ran the sysbench, we will be able to see the CPU MHz changed when we run watch.
watch -n1 "cat /proc/cpuinfo | grep \"MHz\""
- To get the maximum freq, follow this
sudo cat /sys/devices/system/cpu/*/cpufreq/cpuinfo_max_freq
Install 0.4.12 from source
For some reason, the threads option in version 1.0 does not work. See cpu test: single thread and multi-threads get the same result and Question about CPU benchmarking.
If we need to use version 0.4.12, we need to build from the source.
- https://wiki.mikejung.biz/Sysbench#Sysbench_0.4.12_Source_Install_On_CentOS_6.5_and_CentOS_6.6 to download the source code
- Installing sysbench on Ubuntu
- https://github.com/akopytov/sysbench/blob/master/README.md#general-syntax How to build from source
sudo apt install automake autoconf libtool libmysqlclient-dev libssl1.0.0 libssl-dev make wget http://pkgs.fedoraproject.org/repo/pkgs/sysbench/sysbench-0.4.12.tar.gz/3a6d54fdd3fe002328e4458206392b9d/sysbench-0.4.12.tar.gz tar zxvf sysbench-0.4.12.tar.gz cd sysbench-0.4.12/ ./autogen.sh ./configure --without-mysql sudo make # Cannot establish any listening sockets - Make sure an X server isn't already running(EE) # ... # ../libtool: line 5281: : command not found sudo make install
Run sysbench 0.4.12 using singularity
- Install singularity either from pre-build binary or source (See the 'Docs' under https://sylabs.io/singularity/)
- Create a new sub and build a container
- 'Execute' the container
# step 1: the following method installed an old version (2.6.1) of singularity # $ wget -O- http://neuro.debian.net/lists/bionic.us-nh.libre | sudo tee /etc/apt/sources.list.d/neurodebian.sources.list $ sudo apt-key adv --recv-keys --keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 $ sudo apt update $ sudo apt-get install singularity-container $ singularity --version # step 2 $ mkdir sysbench; cd sysbench $ nano sysbench.def $ sudo singularity build sysbench0412 sysbench.def # step 3 $ singularity exec sysbench0412 sysbench --num-threads=1 --test=cpu --cpu-max-prime=20000 --validate run $ singularity exec sysbench0412 sysbench --num-threads=4 --test=cpu --cpu-max-prime=20000 --validate run
where the definition file <Singularity> (recall Ubuntu 16.04 still has the old version of sysbench) is
$ cat sysbench.def
Bootstrap: docker
From: ubuntu:16.04
%post
apt-get -y update
apt-get -y install sysbench
%environment
export LC_ALL=C
export PATH=/usr/games:$PATH
Interestingly, the container build using singularity 2.6.1 also works on singularity 3.5.0 (compile from source).
Version 1.0.X
I find the correct way to use the utility is to specify the all threads and use the time command.
$ time sysbench --threads=4 cpu --cpu-max-prime=20000 --validate run
sysbench 1.0.11 (using system LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 4
Additional request validation enabled.
Initializing random number generator from current time
Prime numbers limit: 20000
Initializing worker threads...
Threads started!
CPU speed:
events per second: 769.40
General statistics:
total time: 10.0053s
total number of events: 7700
Latency (ms):
min: 5.18
avg: 5.20
max: 14.56
95th percentile: 5.18
sum: 40003.22
Threads fairness:
events (avg/stddev): 1925.0000/1.00
execution time (avg/stddev): 10.0008/0.00
real 0m10.043s
user 0m39.992s
sys 0m0.016s
$ time sysbench --threads=1 cpu --cpu-max-prime=20000 --validate run
sysbench 1.0.11 (using system LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 1
Additional request validation enabled.
Initializing random number generator from current time
Prime numbers limit: 20000
Initializing worker threads...
Threads started!
CPU speed:
events per second: 192.45
General statistics:
total time: 10.0034s
total number of events: 1927
Latency (ms):
min: 5.18
avg: 5.19
max: 17.24
95th percentile: 5.18
sum: 10000.58
Threads fairness:
events (avg/stddev): 1927.0000/0.00
execution time (avg/stddev): 10.0006/0.00
real 0m10.049s
user 0m10.028s
sys 0m0.020s
Odroid C4 vs Raspberry Pi 4 (ExplainingComputers)
sysbench cpu --cpu-max-prime=20000 --threads=4 --time=0 --events=10000 run
We can look at
- the CPU speed: events per second (higher is better),
- General statistics: total time (lower is better).
nbench
wget http://www.tux.org/~mayer/linux/nbench-byte-2.2.3.tar.gz tar xzvf nbench-byte-2.2.3.tar.gz cd nbench-byte-2.2.3 make ./nbench
geekbench
Google: how to run geekbench on the raspberry pi
CPU stress test
How to Impose High CPU Load and Stress Test on Linux Using ‘Stress-ng’ Tool
- stress
sudo apt-get install stress uptime; sudo stress --cpu 8 --timeout 20; uptime # 8 cores, 20 seconds
- stress-ng
sudo apt-get install stress-ng uptime; sudo stress-ng --cpu 8 --timeout 60 --metrics-brief; uptime uptime; sudo stress-ng --cpu 4 --cpu-method fft --timeout 2m; uptime uptime; sudo stress-ng --hdd 5 --hdd-ops 100000; uptime uptime; sudo stress-ng --cpu 4 --io 4 --vm 1 --vm-bytes 1G --timeout 60s --metrics-brief; uptime
Hardinfo (GUI)
sudo apt install hardinfo (this will appear in administration as “System Profiler & Benchmark”). See Odroid C4 vs Raspberry Pi 4.
Simple C program
See Time the iterations from 0 to_2147483647
R program
Gross inefficiency in influence.lm, r-source on github
Videos
Raspberry Pi 4B vs Jetson Nano
On Ubuntu, use one of the following commands to find out the graphics card information.
- sudo lshw -C display
- lspci | grep -i --color 'vga\|3d\|2d'
Disk speed test
- Disk Speed Test (Read/Write): HDD, SSD Performance in Linux
- GUI method: use the 'disks' (gnome-disks) utility in Ubuntu
KDiskMark (GUI)
KDiskMark Is A GUI HDD / SSD Benchmark Tool For Linux (Similar To CrystalDiskMark)
dd
Linux and Unix Test Disk I/O Performance With dd Command
- Test write speed
$ sync; dd if=/dev/zero of=tempfile bs=1M count=1024; sync # External storage $ sync; dd if=/dev/zero of=/media/user/MyUSB/tempfile bs=1M count=1024; sync
- Test read speed
$ dd if=tempfile of=/dev/null bs=1M count=1024 # do not use this # Clear the cache $ sudo /sbin/sysctl -w vm.drop_caches=3 $ dd if=tempfile of=/dev/null bs=1M count=1024 # consistent with 'disks' utility
hdparm
hdparm is a Linux command line utility that allows to set and view hardware parameters of hard disk drives. -t and --direct measures data transfer rate but bypassing hard drive's buffer cache memory thus reading directly from the disk.
lsblk # find the root "/" device sudo hdparm -t --direct /dev/mmcblk0p1 # eg internal sudo hdparm -t --direct /dev/mmcblk0p2 # eg sd card sudo hdparm -t --direct /dev/sda1 # eg USB sudo hdparm -Tt /dev/sda sudo hdparm -t /dev/vdb # Measure Hard Disk Device Read Speed sudo hdparm -T /dev/vdb # Measure Hard Disk Cache Read Speed # Reading cache will give more higher performance than reading # from disk because only the cached data will be used and tested. hdparm -I /dev/sda # show information about disk
Example: Silicon-power 512GB ssd. The box says it can read up to 560MB/s & write up to 530MB/s. Below is a test result running on NUC Pentium Silver J5005 CPU.
$ sudo hdparm -t --direct /dev/sdb1 [sudo] password for brb: /dev/sdb1: Timing O_DIRECT disk reads: 1068 MB in 3.01 seconds = 355.34 MB/sec
On UDOO x86, the SSD is 341.77MB/s. The eMMC speed on UDOO x86 is 130MB/s. A portable HDD has a speed 24-29MB/s.
On ODroid x4, the eMMC is 150MB/s.
On phenom server, Samsung SSD 860 EVO 500GB is 235 MB/s, the HDD speed is 150MB/s (WD black WD4003FZEX 4TB, 2013) and 68MB/s (ST ST3640323as 640GB, 2014).
On Raspberry Pi 3B (sudo apt-get install hdparm), the microSD speed is 22MB/s only. The same SSD plugged to a USB2 port has a speed 34MB/s only.
on Dell t3600 Xeon E5-1650, the HDD (WD Blue 3TB 5400 rpm) speed is 50MB/s and the external USB (WD My Book 4T) is 25MB/s (216.50 kB/s before waking up).
Odroid C4 vs Raspberry Pi 4 Micro SD Card, USB 3.0 SSD, eMMC module.
Website loading
- Top 15 Free Website Speed Test Tools of 2018
- https://tools.pingdom.com/
- How to Test Website Loading Speed in Linux Terminal. It works for local IP address. (Another day's test: main server 31 seconds, 192.168.1.86/Odroid: 64 seconds, 192.168.1.88/RPi3: 290 seconds)
# http
$ curl -s -w 'Testing Website Response Time for :%{url_effective}\n\nLookup Time:\t\t%{time_namelookup}\nConnect Time:\t\t%{time_connect}\nPre-transfer Time:\t%{time_pretransfer}\nStart-transfer Time:\t%{time_starttransfer}\n\nTotal Time:\t\t%{time_total}\n' -o /dev/null http://192.168.1.88/wiki/index.php/C
# https
$ curl -s -w 'Testing Website Response Time for :%{url_effective}\n\nLookup Time:\t\t%{time_namelookup}\nConnect Time:\t\t%{time_connect}\nAppCon Time:\t\t%{time_appconnect}\nRedirect Time:\t\t%{time_redirect}\nPre-transfer Time:\t%{time_pretransfer}\nStart-transfer Time:\t%{time_starttransfer}\n\nTotal Time:\t\t%{time_total}\n' -o /dev/null https://taichimd.us/mediawiki/index.php/C
Lookup Time: 0.004311
Connect Time: 0.010050
AppCon Time: 0.049561 (https only)
Redirect Time: 0.000000 (https only)
Pre-transfer Time: 0.049659
Start-transfer Time: 5.035105
Total Time: 5.174981
- httpstat – A Curl Statistics Tool to Check Website Performance. It works for both https and local IP.
$ wget -c https://raw.githubusercontent.com/reorx/httpstat/master/httpstat.py
$ python httpstat.py https://taichimd.us/mediawiki/index.php/C
...
DNS Lookup TCP Connection TLS Handshake Server Processing Content Transfer
[ 4ms | 8ms | 34ms | 31300ms | 169ms ]
| | | | |
namelookup:4ms | | | |
connect:12ms | | |
pretransfer:46ms | |
starttransfer:31346ms |
total:31515ms
ApacheBench (ab)
- https://en.wikipedia.org/wiki/ApacheBench
- https://httpd.apache.org/docs/2.4/programs/ab.html
- https://www.tutorialspoint.com/apache_bench/apache_bench_environment_setup.htm
- https://www.datadoghq.com/blog/apachebench/
Network speed
- 4.5MB/s wifi on raspberry pi 3B+ at home wifi-to-wifi, 7.3MB/s ethernet-to-wifi (tested using scp). Note Pi3b+ has gigabit ethernet network.
- Gigabit Ethernet over USB 2.0 (maximum throughput 300Mbps) on Raspberry Pi 3B+.
- 5.3MB/s ethernet on UDOO x86 at home wifi-to-ethernet, 62MB/s ethernet-to-ethernet (scp).
iperf: network speed test between two boxes
- https://iperf.fr/
- How To Use iPerf To Test Network Speed From Host To Host. The default port for iPerf 3 is 5201. iPerf 2 default port is 5001.
# Server iperf3 -s # Client iperf3 -c XXX.XXX.X.XX
Test on Raspberr Pi 3B+ and ODroid Xu4
client not matter, ethernet cable not matter server: pi3b+ running ubuntu 20.04.1 64-bit [ ID] Interval Transfer Bandwidth Retr Cwnd [ 4] 0.00-1.00 sec 39.3 MBytes 329 Mbits/sec 1 239 KBytes [ 4] 1.00-2.00 sec 38.2 MBytes 320 Mbits/sec 0 270 KBytes server: pi3b+ running raspberry pi OS lite (buster) 32-bit SAME result as above. Note Pi 3B+ ethernet is slower than Udoo Quad server: odroid xu4 ubuntu 20.04.1 64-bit [ ID] Interval Transfer Bandwidth Retr Cwnd [ 4] 0.00-1.00 sec 109 MBytes 911 Mbits/sec 0 334 KBytes [ 4] 1.00-2.00 sec 107 MBytes 900 Mbits/sec 0 334 KBytes server: Udoo Dual ubuntu 20.04.1/Armbian 20.08 Focal 32-bit [ ID] Interval Transfer Bandwidth Retr Cwnd [ 4] 0.00-1.00 sec 63.8 MBytes 535 Mbits/sec 0 1.30 MBytes [ 4] 1.00-2.00 sec 54.9 MBytes 460 Mbits/sec 0 1.33 MBytes
SSH speed test
yes | pv | ssh user@remote_host "cat >/dev/null"