Dual core CPUs, up to or less than 1GB RAM. Pretty much. Apple tries to fool you with fancy names like A10 or Bionic crap but most folks know the truth.
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Android SoCs. WTF Qualcomm? We are going nowhere.
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Nah. They have optimised software that helps, but make no mistake, the processors in the iPhones, iPads, etc. are very high performance.
As to running android badly, what do you expect? it isn't written to take advantage of the features the hardware has.
Uh.... there hasn't been a dual core iPhone for.... some years now.
A10 is a quad core. A10X is a six core. And they're from 5 years ago. And the entry A10 iPhone 7 had 2 GB of RAM with 3 GB in the Plus...
And more importantly, Apple's cores have way better performance per core, per clock cycle than anything else on the market. Period. Plus "Bionic crap" = dedicated ML cores to offload specialised workloads from the CPUs.
Which means they work great at things that either aren't or can't be multi-threaded to take advantage of multiple cores.
And that's what matters.
Who cares how many cores a phone has or how much RAM it has. What matters is how it works.
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I suppose you also believe iOS is the "Worlds best mobile operating system" as well, because Apple does. In reality Apple only rules in the U.S., while the rest of the world enjoys Android.
Bionic, A10, whatever are marketing terms. Not actual CPU specs. It'd be like calling the latest Intel CPU the Quantum Core CPU or some other ridiculous name.
I do agree though, that the amount of cores doesn't matter. That's why the point of this thread made no sense from my perspective.
Bionic, A10, whatever are marketing terms. Not actual CPU specs. It'd be like calling the latest Intel CPU the Quantum Core CPU or some other ridiculous name.
I do agree though, that the amount of cores doesn't matter. That's why the point of this thread made no sense from my perspective.
No mate, I believe independent testing which has continually verified that Apple's SOC is the fastest on the market at time of release, and they are regularly 1-2 years ahead in terms of performance.
Err, the point of this thread is not about the number of cores. Did you even look at the graph? It's about performance and energy consumption. don't mix up your own posts as the point of the thread.
Hoping with Qual adopting much of the engineers that came from Apple during the 64 Bit transition on ARM, will help jumpstart the performance on these processors.
Tensor is a beast for what Google wanted to do with it, Totally destroys anything with language processing, and I assume Google has some serious work going into other areas. I have never had a better phone for voice to text, translation, or any other language processing. Makes the A-Series from Apple seem dark ages.
That said, I will need to heavily rely on iOS for my fast image processing this year when shooting time critical photo / video for publications, vendors, and other clients. Needing to take 25+ RAW shots directly after a race from my camera, process them, and upload to various clients is always a race against time.
Sadly the speed advantage my Pixel 6 has with USB-C transfers is absolutely destroyed by the slow processing when I hit a batch edit / export of those photos from RAW to Jpeg. In fact, my iPhone is far faster than my last intel MacBook Pro, or Dell laptop in Lightroom. I am resisting temptation to get an M1 Pro Max laptop, as I feel the little M1 I currently have is a beast for my media work.
Tensor is a beast for what Google wanted to do with it, Totally destroys anything with language processing, and I assume Google has some serious work going into other areas. I have never had a better phone for voice to text, translation, or any other language processing. Makes the A-Series from Apple seem dark ages.
That said, I will need to heavily rely on iOS for my fast image processing this year when shooting time critical photo / video for publications, vendors, and other clients. Needing to take 25+ RAW shots directly after a race from my camera, process them, and upload to various clients is always a race against time.
Sadly the speed advantage my Pixel 6 has with USB-C transfers is absolutely destroyed by the slow processing when I hit a batch edit / export of those photos from RAW to Jpeg. In fact, my iPhone is far faster than my last intel MacBook Pro, or Dell laptop in Lightroom. I am resisting temptation to get an M1 Pro Max laptop, as I feel the little M1 I currently have is a beast for my media work.
Can't disagree on your point about Google and language processing. Even without the local processing, Google has been the leader. ML and Neural Engines will be the new front. And yes, the USB2 that Apple is stuck on iPhones are just laughable at this point in 2021m considering even the iPads have mostly transitioned to USB3/C (except the base iPad). Win some, lose some...
Having said that, Apple is just winning when we talk about efficiency. Their custom core designs are just killing it.
Yeah the IO is sad. I actually plan on using an iPad mini 6 for most of my quick edits. USB-C direct to the camera, and nearly the speed of the iPhone 13 pro for the batch edits I need to do. It is not an iPad Pro, but it matches my older 11" iPad Pro from 2018 in processing speed, and that was already faster than my last intel MBP.Can't disagree on your point about Google and language processing. Even without the local processing, Google has been the leader. ML and Neural Engines will be the new front. And yes, the USB2 that Apple is stuck on iPhones are just laughable at this point in 2021m considering even the iPads have mostly transitioned to USB3/C (except the base iPad). Win some, lose some...
Having said that, Apple is just winning when we talk about efficiency. Their custom core designs are just killing it.
This 100%, and this is why Apple and others (Nvidia, Google, etc.) are focused on tensor cores, ML cores, etc.
General purpose CPUs are "fast enough" for the things they need to do. The true forefront of performance is in GPU and AI acceleration.