Apple does not support OpenGL or Vulkan, only Metal, and most app devs have better things to do than rewriting code for the Mac.
The recommended way of gaming on a mac is to use emulation by emulating whatever the game is used with a metal wrapper.
IMO the claim that these benchmarks aren't fair is naive. I don't care about how good the hardware is, but about what performance I get. If I get poor performance because the software, drivers, etc. are poor, I want to know that.
Of course, I'm not at all saying that you're wrong to want that, or that these benchmarks don't show what you're interested in.
However this and many other articles are using these benchmarks to derive comparative hardware performance, which is simply wrong to do. That's what I'm criticizing.
What one can compare, is the performance of the "Apple platform" and the "PC platform" at similar price points, power budgets, features. This is more meaningful for most people, which mostly care about how fast can the computer do X (whether it uses the CPU, GPU, or some other chip, most people don't care).
QEMU simply translates calls from one hardware API to another hardware API, so it isn't an emulator either right?
But from a technological perspective, the logical way to test is to eliminate as much variable as possible and really compare the hardware compatibility. Using software that’s not optimized for the hardware is not an objective test of the hardware.
There are many ways to try to conduct as objective a test as possible. In that criteria, I found that only those review from Anandtech is up to standard. Article like this is more like click bait.
Now I’m not an expert, but if I were to compare the performance somewhat objectively, I might start with TensorFlow where Apple has releases a metal backend for it to run. Then may be write some naive kernel in Julia using CUDA and the pre release metal library (It might not be fair, but that’s where I would start given what I know.)
What's interesting here is that is that we're haggling over comparing something that is an SOC design with fairly modest energy usage and cooling with a video card and cpu (presumably) that need a lot of power and cooling. Imagine Apple putting a few of these CPUs in the mac pro next year (or whenever they release that).
Of course these things are pricey. 5K for the 64 core model, ouch. I think they are going to be making lots of money selling these.
As for intel, amd, and nvidia. They each need to get their act together on the SOC front. They are not for crippled laptops anymore but for high end work stations as well. Nvidia should re-assess what they want now that their arm acquisition is off the table. IMHO they should get rid of amd/intel as the go-to cpu for their gpu and just build their own SOC and target it at gaming machines, workstations, etc. There's no good reason to stick with x86 anymore either. License ARM, or maybe hop on the Risv V bandwagon.
There's IndigoBench, but some people will complain about it using OpenCL (which still works great in spite of Apple's efforts to kill their own creation to the detriment of the whole GPU compute industry) instead of Metal.
Would be interested in benchmarks for this using the new M1 Ultra: https://www.indigorenderer.com/indigobench
Disclosure: worked on Indigo as 1/2 engine devs for 9 years.
Octane Render runs on Metal and CUDA so can at least compare compute aspects of GPU.
But benchmarks where one hardware has to do much more work than the other is obviously not fit to determine the actual performance differences between hardware; and that is exactly what the article we're commenting on is doing.
People aren't concerned about the hardware itself. They're concerned about what it can do. If circumstances mean that your powerful hardware can't be utilized, then the powerful hardware is just extra cost and no benefit.
Geekbench's Compute is useless for M1s with more than 32 Cores, according to Anandtech. Shadow of the Tomb Raider runs as an x86 program under Rosetta 2.
Isn't there a single GPU benchmark that actually does the same work so that comparisons can actually be made?