I just noticed this again and it worries me alot! Devs here are usually posting their changes as being different than others, more even about compiler optimizations and yet most of you make huge mistakes.
Personally I've been running Gentoo linux for about ten years now and what I learned from running different setups with space limitations is that one should NEVER use -Os and -O3 together as this will not only take much more time to compile it also GROWS executables.
-Os is basically the same as -O3, but it adds some flags that won't benefit executable size vs memory usage.
In general executables compiled with only -Os are nearly as optimized as -O3/2 and resulting in smaller executable. While compiled with -O3 uses more memory allocation for extra speed. While using both together will result in larger executables, more memory usage AND much longer compile times vs just -O2.
So devs can you all please remove -Os from your "optimizations" and leave just -O2? Bragging about "more compiler optimizations" really fails if you fail to understand why the -Ox optimizations levels have been added in the first place... Which is to NOT use them together!
Also -O3 might introduce more IO operations, which might have a negative effect on our snappies.
The choice: Summarised
-O2 is the default optimization level. It is ideal for desktop systems because of small binary size which results in faster load from HDD, lower RAM usage and less cache misses on modern CPUs. Servers should also use -O2 since it is considered to be the highest reliable optimization level.
-O3 only degrades application performance as it produces huge binaries which use high amount of HDD, RAM and CPU cache space. Only specific applications such as python and sqlite gain improved performance. This optimization level greatly increases compilation time.
-Os should be used on systems with limited CPU cache (old CPUs, Atom ..). Large executables such as firefox may become more responsive using -Os.
Click to expand...
Click to collapse
From: http://en.gentoo-wiki.com/wiki/CFLAGS
Quote from the wiki articale you provided:
"Note that only one of the above flags may be chosen. If you choose more than one, the last one specified will have the effect."
tincmulc said:
Quote from the wiki articale you provided:
"Note that only one of the above flags may be chosen. If you choose more than one, the last one specified will have the effect."
Click to expand...
Click to collapse
My point is that in general people here seem to use "-Os -O3", which is dumb really as it had no benefits. -O2 should be better performance wise on our phones.
great post, thank you man!
Now silently pray for our devs to change their -O3 -Os to -O2.
Or I might need to do my own branch of "optimized" nightlies.
For example what you declare with -march=A -mcpu=B will intact be -march=A -mtune=B.
edit: I think the gcc compiler even throws a warning about l2p etc.
Wouldn't the best choice be just -Os? I would have thought that optimising for systems with limited cache would be appropriate for portable devices.
Pipe Merchant said:
Wouldn't the best choice be just -Os? I would have thought that optimising for systems with limited cache would be appropriate for portable devices.
Click to expand...
Click to collapse
I highly doubt executable sizes on our phones are big enough to benefit from -Os.
In the case of my router at home -Os doesn't give any benefit at all, in fact packet inspection is slightly slower vs -O2.
I understand that Android is not like Windows, but with all the app installing/uninstalling (and file transfers) we do on our devices - is there any need to perform a 'defrag' like function on the storage media?
I know on my Windows PCs in the past, a defrag sped up a lot of functions on the machine once completed.
is there such tool for the android OS?
EDIT: what the equivalent "defrag-like" operation i can perform on Android OS to improve internal drive's performance?
Android is Linux, it doesn't operate like windows and you won't ever need a defrag or anything like that.
FearedSkills say true .... but you can try Optimize ToolBox , for me - good app
Flash is your physical layer, you don't want to defrag it anyway as it burns write cycles.
Flash (SSD) 's life is reduced if you 'move' stuff around by increasing it's read and write cycles unnecessarily.
Totally agree with above especially if you use a ROM (or kernel) enabling ext4 filesystem, far more responsive and optimized than ext3.
To be precise, ext3 fs fragment, but fragmentation level is always low and is never a concern for efficiency of the system. Ext4 fragments less than ext3.
The reason that defragmenting in windows is good practice is primarily because the physical device (hard drive) will perform better when it is reading data in consecutive blocks.
SSDs and Flash chips do not organize their data the same way, and can actually have their service life reduced by moving data around into bigger chunks.
Well sadly i don't have an answer for that question yet...
I'm trying to think of a way to put KSM to the test on my android device.
As far as i understand it is possible that the kernel actually causes high CPU usage trying to map and unmap memory pages over and over again.
This issue is known for linux and other virtual machines so it is possible that the Same effect will be on the android vm
Testings that i found are not relevant to android.
For example:
The result is a dramatic decrease in memory usage in virtualization environments. In a virtualization server, Red Hat found that thanks to KSM, KVM can run as many as 52 Windows XP VMs with 1 GB of RAM each on a server with just 16 GB of RAM. Because KSM works transparently to userspace apps, it can be adopted very easily, and provides huge memory savings for free to current production systems. It was originally developed for use with KVM, but it can be also used with any other virtualization system - or even in non virtualization workloads, for example applications that for some reason have several processes using lots of memory that could be shared.
Click to expand...
Click to collapse
http://kernelnewbies.org/Linux_2_6_32
What i would really want to know is what would happen if each of these VMs Would run a different application/game/audio/graphics software at the same time ? or what if the same vm will run many different apps ? and also to compare cpu usage with and without KSM
Guess i'll need a tool for that. something like 'iostat' but for memory diagnostic and another tool to see a per process CPU usage but 'top' is not good enough for that.
Any way, the best test should present clear results with precised data.
I'll keep looking for legit way to put it to the test.
If you can think of a way to test KSM with android, please let me know.
This is a technique that relates mostly to processes like virtualisation. For example, when you load 5 windows XP VMs, you'll have a good 10 - 20 services that are practically the same in memory in each VM. Instead of each service using 10mb (ie, 10mb x 5 = 50mb), you only need say 15 or 20mb using KSM. If you use different applications, it is very unlikely that anything would be saved FOR THAT APPLICATION. However, the main elements of a Windows XP System would still be there (drivers, explorer, firewall, logon, search and so on). Means little in one setup, but when you have several VMs it is shown to be a huge advantage. As we know a simple XP install can use 500mb of RAM actively, and this is fairly uniform across instals.
With android, i don't know if there are specific RAM savings to be had. Don't know enough about the inner workings and the sandbox android puts its apps in or how apps interact with system services. Sadly, i can't think of a good way to test it out either, but i'll be keeping an eye on this topic for someone (much) more knowledgeable to come along.
Harbb said:
Sadly, i can't think of a good way to test it out either, but i'll be keeping an eye on this topic for someone (much) more knowledgeable to come along.
Click to expand...
Click to collapse
Enter bedalus, stands there with a vacant expression on his face. Harbb looks disappointed.
kernels ; battery ; ROM ; gov/sched
That entire paragraph was dedicated to you bedalus, we both know that.
Lol
I hope someone can answer this though.
kernels ; battery ; ROM ; gov/sched
Wait for someone............
Sent from my Nexus S using xda premium
KSM does not improve performance on Android just like that - all enabling KSM does, is enable SUPPORT for the Feature but Applications would have to make use of the feature, which they don't.
You can easily verify this like that :
echo 1 > /sys/kernel/mm/ksm/run
<wait and/or run the Applications of your choice>
cat /sys/kernel/mm/ksm/pages_sharing
IF the above shows a value > 0 then you are making use of KSM else it's just available, without anyone using the feature.
Here's an interesting Article that gives a little more insight :
http://www.linux-kvm.com/content/using-ksm-kernel-samepage-merging-kvm
By the way, the same is true for ZCACHE. If you really want to make better use of your Memory (RAM) then using ZRAM as a Swapdevice does work (and may often make sense, too).
That all said : There appear to be efforts to make use of KSM http://forum.xda-developers.com/showthread.php?t=1464758 - so things may well change ...
any update on this...?
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Wandering through the forums and various websites dedicated to Android, we are constantly confronted with tips on how to increase the performance of the smartphone. Some recommend to include swap, others - add special value to build.prop, and others - to change variables of the Linux kernel. Such recipes in different ways you can find a huge amount of that on the XDA and 4PDA. But do they actually work
Tenacity with which some seemingly competent smartphone users are trying to push their ideas public optimum adjustment Android and the underlying Linux kernel. And the right to it was limited to a slight tuning virtual memory management subsystem, or the inclusion of experimental options. No, we usually offer a very long use scripts that change literally every variable core, remount filesystems with different odd options, including the swap, activate various system daemons and perform billions of different operations.
No, well, you can, of course, assume that the Linux kernel, Android and proprietary firmware for smartphones develop illiterate idiots, whose work must be radically alter, but in practice some reason it turns out that the most famous tuning tools, published on XDA, - it nothing but a hodgepodge of disparate huge number of recommendations, it is not clear who invented and no one knows why. The absurdity of the situation reaches that these instruments can be found rows copied unchanged from the scripts to increase Linux-server performance under heavy loads (I'm not kidding, look at the contents of the famous script ThunderBolt!).
In general, the situation is more complicated than. All advise all, no one suggests anything, and those who understand something, sitting and drinking tea and laughing over what's happening.
Swap
Let's start with the swap - the most absurd ideas of all that you can think of for use in smartphones. Its purpose is to create and connect the paging file, thereby manage to free storage space in memory. The idea itself is certainly sensible, but only if it is a server, which rests on the interactivity of nowhere. Using your phone regularly used pagefile will lead to lags arising from slips past the cache - just imagine what will happen if an application tries to display one of their icons, and it will be in the swap, which will have to re-load the disc, after freeing up space by placing data swap another application. Horror.
Some users can be argued that in fact after the swap no problems, but for this we must thank the mechanism lowmemorykiller, which regularly kills very swollen and have not used the application. Thanks to him, the device with 1GB of memory can never reach the necessary performance data in a swap. He is the reason why, in contrast to the Linux-desktop on the Android swap is not needed.
Verdict: A very stupid idea, the implementation of which is fraught with serious lags.
zRAM
The idea is so right that even Google recommends zRAM for KitKat-based devices in the event that the amount of RAM is less than 512 MB. Only snag is that the method only works for modern cost devices based on multi-core processors from the budget any MTK and 512 MB of RAM. In this case, the encryption stream can be taken to separate the kernel and do not care about performance.
On older devices with a single core, and which recommend the use of this technology, we again get the lags, and in fairly large quantities. The same, incidentally, applies to technology KSM (Kernel Same Page Merging), which allows you to combine identical memory pages, thus freeing space. It also recommended that Google, but on older devaysakh leads to an even greater lags, which makes sense, given the constantly active core thread that runs continuously from memory in search of duplicate pages.
Verdict: it depends on the device, in most cases, the system slows down.
Seeder
At the time this application has done a lot of noise and gave rise to many analogues. The network has a huge number of reports of alleged phenomenal growth performance of the smartphone after installation. Homegrown custom firmware collectors have begun to include him in their assembly, and the author was declared a savior. And all this despite the fact that Seeder not doing anything dirty hacks, but just corrected a stupid bug Android.
The bug consisted in the fact that some high-level components of the Android runtime actively used the file /dev/random to get entropy. In some moments buffer /dev/random devastated, and the system is blocked until it is filling the required amount of data. And as he filled that have been reported from various sensors, buttons and sensors of the smartphone, the time for this procedure took so much time to notice that lag.
To solve this problem the author Seeder took Linux-demon rngd, compiled it for Android inastroil so that he took random data from a much faster (but also much more predictable) /dev/urandom, and every second merges them into /dev/random, without allowing the latter exhausted. As a result - the system never experienced a lack of entropy and work quietly.
This bug was closed back in Google Android 3.0, and it would seem, we do not need to think about Seeder. But the fact that the application has since actively developed and even today, is recommended by many "experts" for the application. Moreover, the application has several analogues (eg, sEFix), and many of the creators of the scripts/tools to accelerate still include this functionality in their creations. Sometimes it is the same rngd, sometimes - the demon haveged, sometimes just symlink /dev/urandom on /dev/random.
Everyone who tried it, excitedly shouting about the effectiveness of the solution, however, according to Ricardo Cerqueira from the company Cyanogen, in newer versions of Android /dev/random is used in all three components: libcrypto (encryption SSL-connections, generating SSH keys and etc.), wpa_supplicant/hostapd (to generate the WEP/WPA-keys) and several libraries for generating random ID to create ext2/3/4 filesystems.
Application Efficiency in today's Android, in his opinion, is not connected with the completion of the pool /dev/random, and that rngd constantly awakens the device and causes it to increase the frequency of the processor, which has a positive effect on performance and negative on the battery.
Verdict: The placebo effect.
Odex
Stock firmware smartphones always odex. This means that along with the standard package for Android apps in APK format directory /system/app/ and /system/priv-app/ (since KitKat) are also of the same name files with the extension odex. They contain so-called optimized bytecode applications already passed through the validator and optimizer virtual machine and recorded in a separate file (this is done using dexopt utility).
Meaning odex files to offload virtual machine and thus speed up the launch of the application (runoff). On the other hand, ODEX files to prevent modifications to make to the firmware, create problems with the update, and for this reason many custom ROMs (including CyanogenMod) distributed without them. Return (or rather, generate) files odex a variety of ways, including using simple tools/scripts like Odexer Tool. Using them is easy, and many of the "experts" are advised to do so.
The only problem is that this is purely a placebo. Not finding odex-files in the directory/system, the system itself will create them the next loaded and placed in the directory /system/dalvik-cache/. This is what she does when loading a new firmware on the screen the message "Busy ... Optimizing Applications." In relation to applications from the convenience store is also, incidentally, works. But at the stage of installation of the software.
Verdict: The placebo effect.
Lowmemorykiller tweaks
The implementation of multitasking in Android is very different from other mobile operating systems and is based on the classical model. Applications can work quietly in the background, in the system there are no restrictions on the number, the functionality of the transition to a background execution is not curtailed. All as on the desktop, except for one detail: the system has every right to kill any background application in the case of lack of memory, or (since KitKat) excessive greed application resources.
This mechanism, called lowmemorykiller, was coined to, retaining features of a full-fledged multi-tasking OS, Android could live normally in a limited amount of memory and lack of swap-partition. The user can easily launch any application and quickly switch between them, and the system will take care of the long-unused application completion and to always remain free memory in the device.
In the early days of Android purpose of this mechanism for many users it was unclear why have become popular so-called task-killer - apps that from time to time to wake up and have completed all background applications. Profits in this case, it was considered a large amount of free RAM, which was perceived as a plus, though no advantages in this, of course, was not. But there were many disadvantages in the form of a longer switch between applications, increased battery consumption and problems c awakening in the morning the owner (Service also kills).
Over time, multitasking principles of understanding has come, and from task-killers gradually abandoned. However, they were quickly replaced by another trend - tuning of lowmemorykiller mechanism (for example, by MinFreeManager applications). The main idea of the method is to lift the boundaries of filling the RAM at which the system will start to kill background apps. A sort of the way ", and us and you", which allows you to free up some memory by regular means, without disturbing ideas Android multitasking.
But what it ultimately leads? For example, the standard value memory is full of borders - a 4, 8, 12, 24, 32 and 40 Mb, that is when the free storage space of 40 MB will be killed by one of the cached applications (loaded in memory, but is not running, is this optimization Android ), with 32 - Content Provider, has no customers, 24 - one of the seldom-used back-end application, then go to the expense of service processes application (for example, the music player service), visible on the app screen and the current running application. The difference between the last two is that the "current" - this application, which is currently dealing the user, and the "visible" - is that, for example, has a notification in the status bar or display on top of the screen any information.
In general, all this means that the smartphone will always be available 40 MB of memory, which is enough to accommodate another application, and then start LKM flow and begin cleanup. All OK, everyone is happy. The system uses the maximum memory. Now imagine what would happen if the user take advantage of advice homebrew "expert", and raise these values so that the latter would be, well, let's say, 100 MB (usually raised only the last three values). In this case, it happens one simple thing: the user will lose 100 - 40 = 60 MB of memory. Instead of using this space to store back-end applications, it is useful, as it reduces the time to switch to them, and the charge of the battery, the system will keep it free is not clear why.
It is fair to say that the LKM tuning can be useful for devices with very very little memory (less than 512) and Android 4.X on board, or to temporarily increase thresholds. Some developers tweaks directly recommend the use of "aggressive" setting only if you run heavy software like hi-end games, and all the rest of the time to stay on the standard. This really makes sense.
Verdict: better not to touch.
I/O tweaks
The scripts that are published on the forums, you can often find tweaks I/O subsystem. For example, in the same script ThunderBolt! has the following lines:
Code:
echo 0 > $i/queue/rotational;
echo 1024 > $i/queue/nr_requests;
The first gives the I/O scheduler to understand that he is dealing with a solid state drive, the second increases the maximum size of the queue IO 128 to 1024 ($i variable in commands contains a path to the tree of block device in /sys, eg /sys/block/mmcblk0/, the script runs on them in the loop). Hereinafter you can find the following line relating to the CFQ scheduler:
Code:
echo 1 > $i/queue/iosched/back_seek_penalty;
echo 1 > $i/queue/iosched/low_latency;
echo 1 > $i/queue/iosched/slice_idle;
This is followed by a few more lines belonging to other planners (by the way, pay attention to a whole extra semicolon at the end of instruction). What all of these lines is not so? The first two commands are pointless for two reasons:
1. Schedulers I / O in a modern Linux kernel itself able to understand what type of storage medium they deal.
2. Such a long input-output queue (1024) completely useless on a smartphone. Moreover, it is meaningless, even on the desktop and is used on heavy duty servers (of tuning recommendations which it, apparently, and got into the script).
The last three are meaningless for the simple reason that for a smartphone, where there is virtually no separation applications prioritized in the input-output and there is no mechanical drive, the best planner - is the noop, that is simple the FIFO-queue - who first turned to memory, he also got access. And this scheduler is not any special settings. Therefore, all these multi-screen lists commands better replaced by a simple cycle:
Code:
for i in /sys/block/mmc*; do
echo noop > $i/queue/scheduler
echo 0 > $i/queue/iostats
done
In addition to enabling noop scheduler for all drives it off the accumulation of statistics I/O, which should also have a positive impact on the performance (although this is only a drop in the sea, which will be completely invisible).
Another tweak that can often be found in the scripts tuning performance - this increase readahead values for memory cards up to 2 MB. readahead mechanism for early reading data from the media even before the application requests access to these data. If the kernel sees that someone long enough to read the data from the media, it is trying to figure out what data will be needed in the future application and pre-loads them into RAM, thereby enabling to reduce the time of their return.
It sounds cool, but, as practice shows, readahead algorithm is very often wrong, which leads to unnecessary operations of input-output and consumption of RAM. High values readahead (1-8 MB) are recommended for use in RAID-arrays, whereas on the desktop or smartphone is better to leave everything as is, that is 128 KB.
Verdict: in addition to noop, do not need anything.
Tweaks virtual memory management system
In addition to the subsystem I/O, it is also common to do tuning virtual memory management subsystem. Often, change affects only two kernel variables: vm.dirty_background_ratio and vm.dirty_ratio, which allow you to adjust the size of the buffer for storing the so-called dirty data, ie the data that has been written to disk application, but more are still in memory and waiting until they are written to disk.
Typical values of these variables in the desktop Linux-distributions and Android are as follows:
Code:
* vm.dirty_background_ratio = 10
* vm.dirty_ratio = 20
This means that when the "dirty" data buffer size in 10% of the total amount of RAM wake pdflush nuclear flow and starts to write data to disk. If the operation of recording data on the disk will be too intense and even though the job pdflush, the buffer will continue to grow, then when it reaches 20% of the amount of RAM the system switches all the subsequent write operation in synchronous mode (without pre-buffer) and the work of writing to disk application will be blocked until such time as the data is written to disk (in the terminology of Android is called a lag).
It is important to understand that even if the buffer size is not reached 10%, the system anyway pdflush starts the flow after 30 seconds. What we are given this knowledge? In fact, anything that we could use for their own purposes. The combination of 10/20% is quite reasonable, for example, on your smartphone with 1 GB of RAM is about 100/200 MB of memory, which is more than enough in terms of rare bursts records that speed is often below the speed record in system NAND-memory, or SD-card (when installing software or copying files from a computer). But the creators of scripts optimization with this, of course, disagree.
For example, in Xplix script can find something like this (in the original, they are much longer because of the checks on the amount of RAM and use BusyBox):
Code:
sysctl -w vm.dirty_background_ratio=50
sysctl -w vm.dirty_ratio=90
These commands apply to devices with 1 GB of memory, that is, set limits on "dirty" buffer equal to (approximately) 500/900 MB. These high values are absolutely meaningless for the smartphone, as only work under constant intense recording on the disc, that is, besides for heavy server. In a situation with a smartphone they are no better than the standard. By the way, in the script ThunderBolt! used much more reasonable (and close to the standard) values, but I doubt that by their application the user will notice at least some difference:
Code:
if [ "$mem" -lt 524288 ];then
sysctl -w vm.dirty_background_ratio=15;
sysctl -w vm.dirty_ratio=30;
elif [ "$mem" -lt 1049776 ];then
sysctl -w vm.dirty_background_ratio=10;
sysctl -w vm.dirty_ratio=20;
else
sysctl -w vm.dirty_background_ratio=5;
sysctl -w vm.dirty_ratio=10;
fi;
The first two commands are run on smartphones with 512 MB of RAM, the second - with 1 GB, and others - with more than 1 GB. But in fact there is only one reason to change the default settings - a device with a very slow internal memory or memory card. In this case it is reasonable to spread the values of the variables, that is, to make something like this:
Code:
sysctl -w vm.dirty_background_ratio=10
sysctl -w vm.dirty_ratio=60
Then, when a surge system write operations, without having to record data on the disc, up to the last will not switch to synchronous mode, which will allow applications to reduce lag when recording.
Verdict: better not to touch.
P.S.
There are numerous and smaller optimizations, including the "tuning" of the network stack, changing the variables of the Linux kernel and Android (build.prop), but 90% of them have no effect on the real performance of the device, while the remaining 10% or improve some aspects of behavior devices at the expense of others, or so insignificant increase productivity, you do not even notice it. From what really works, we can note the following:
****Acceleration. The small acceleration to improve performance and andervolting - save a little battery.
****Database Optimization. I seriously doubt that this will give a noticeable increase in speed, but the theory tells us that the work should be.
****Zipalign. Ironically, despite the built-in Android SDK feature content alignment within the APK-file in the store you can find a lot of software is not transmitted through zipalign.
****Disable unnecessary system services, removing unused system and seldom-used third-party applications.
****Custom kernel with optimizations for a specific device (again, not all nuclei are equally good).
****Already described I/O scheduler noop.
****Saturation algorithm TCP westwood +. There is evidence that he is in wireless networks more efficiently used in the default Android Cubic. Available in custom kernels.
Useless settings build.prop
LaraCraft304 from XDA Developers forum has conducted a study and found that an impressive number of /system/build.prop settings that are recommended for use "experts" do not exist in the source AOSP and CyanogenMod. Here's the list:
ro.ril.disable.power.collapse
ro.mot.eri.losalert.delay
ro.config.hw_fast_dormancy
ro.config.hw_power_saving
windowsmgr.max_events_per_sec
persist.cust.tel.eons
ro.max.fling_velocity
ro.min.fling_velocity
ro.kernel.checkjni
dalvik.vm.verify-bytecode
debug.performance.tuning
video.accelerate.hw
ro.media.dec.jpeg.memcap
ro.config.nocheckin
profiler.force_disable_ulog
profiler.force_disable_err_rpt
ersist.sys.shutdown.mode
ro.HOME_APP_ADJ
To be continued...
thanks man!
this helped me understand some things
"No, well, you can, of course, assume that the Linux kernel, Android and proprietary firmware for smartphones develop illiterate idiots, whose work must be radically alter"
this made me lol
This...
Was...
AWESOME!
Pure information furthermore useful bits and pieces. Sorry for the necro but I just felt plain wrong to tap a button to say thanks. I really felt like I'd be the minimum to write thanks personally. Thank you very much for this post.
I swear to you windowsmgr.max_events_per_sec works flawlessly, the higher number, the more content will be able to load on launcher without lag. I used to test it on my J7 pro android 8.0
I subscribe the OP's statements that we are constantly are searching for optimization(s) of our Android device. I used all kind of Android devices, like Sony, Oppo, etc for many years with varying satisfaction, also regarding Android updates. I know that what I'm going to say now, is very sensitive in the Android community, but nevertheless I will post it. After having used Fitbit as my fitness trackers/smartwatches, I noticed the release of the Apple iWatch 6 and I was stunned about the capabilities of this watch versus all other smarwatches. Alas I needed also an iPhone to get it up and running. Let me be clear, I never was an Apple fan due to it's too strict policy and the fact that you were not able to make your own homescreen. But, since the release of iOS 14 this all changed, so I decided to get over my Apple resistance and bought the Apple 12 Pro Max. Using this now for a few months, this is the best upgrade I ever made. Everything runs smooth, fast, lot's of space, smooth connection with the iWatch, etc etc. I designed my own home display even on an Apple device (see attachment). Looks exactly the same as the home display I had on all of my former Android devices. Hope this information is in some way helpfull for you all. Kindest regards kuzibri
P.S. If you've got interested in more information about the Apple 12, see my threads in the Apple fora of XDA:
1. https://forum.xda-developers.com/t/q-a-template-for-the-apple-iphone-12-pro-max.4322579/
2. https://forum.xda-developers.com/t/ask-away-thread-for-all-apple-iphones.4323471/