Yeah, geekbench has long been known to favor iPhones. Even compared to other mobile SoCs like Qualcomm or MediaTek, it’s… uh… “optimized” for what Apple chips are designed around.
Using it on a desktop for benchmarking is… Even more useless.
On top of that:
The single core number obviously only uses one big core, of which Apple’s chip only has 2.
The score only reflects the maximum burst speed (it’s not expected to sustain that kind of performance for more than 10 seconds. Even using both big cores simultaneously would cut that score short due to overheating.
Desktop cpu has 16 cores that are all identical, and is expected to sustain those workloads indefinitely. Servers and supercomputers run these things 24/7.
The desktop cpu is on an older node as well, inherently less power efficient.
It’s a bit like saying, “for 10 seconds, I can run as fast as the world’s fastest marathon runner TEAM!”. Neat factoid but still incomparable.
It’s pretty obvious why lol.
90% of the calls I receive are spam.
Calling demands that I pick up the phone RIGHT THE FUCK NOW. Bitch, if it ain’t a life threatening emergency I’m not dropping everything I’m working on for you.
Texting allows me to respond when it’s convenient for me.
Text generally takes 3 seconds to get the point across instead of having a whole conversation about it
Glass back is a premium design feature because it breaks easily, and customers who buy premium phones are expected to be rich enough to just buy another phone.
It’s a profit making feature.
Much like luxury cars, nobody actually expects BMW or Mercedes to last more than 3 years. People who buy them are expected to trade up for the latest model every few years.
Same with luxury fashion. Absolutely some of the cheapest and fragile clothing I’ve ever seen come from big fashion brands. And nobody cares, because by the time they break, they’re out of style and the buyer will be updating their wardrobe anyways.
If there’s one thing I’ve learned, expensive luxury items = cheap and breakable. Midrange products are where the customers tend to be concerned with longevity and value.
I would say the opposite.
The chipset is no longer important unless you’re heavily into smartphone games. Even a mid-range chipset from 2 years ago will run standard tasks just fine these days. Smartphone requirements have basically plateaued for a few years now.
Prioritize just about everything OTHER then the chipset, depending on what you really use the phone for. Cameras, battery life, screen quality, memory capacity… Prioritize chipset only if you’re gaming.
Still, i don’t think it’ll need to get much more complex to be very useful for AI workloads.
People have been discovering that more, and simpler, calculations seem to work better? the trend in AI workloads seems to have gone from FP32 -> FP16 -> INT16 -> INT8 and possibly even INT4?
Seems like just having lots of simple calculations is more efficient/effective than more complex stuff.
But the DLC is 10x that