NEW: Octane X - is finally here! [MEGA FAQ THREAD]

[RegSquires]

I have been having problems with Octane in C4D on my MacBook Pro M1 Max where the render view when closed would crash the app. I have reported to Beppe and he confirmed the issue which is not the same on Ventura. I can't up date but I have a hack which involves building a layout that includes the render view. For me this has been very promising in terms of no crashes. So I have a C4D layout with the render view and settings as well as a node viewer. Seems to be working

[spybreak]

Render results of the chess scene on my new M2 Max MBP. Straight out of the box. No settings changed.

My M1 Max does this in 29s so either OTOY needs to add some M2 optimizations or there are barely any benefits to the M2 Max for Octane compared to the M1 Max. Definitely not 30% improvement as on other tests and definitely not the almost 2x improvement as seen on Blender.

Hoping Beppe can shed some light on these results.

[bepeg4d]

Hi,
my M2 Pro is not arrived yet, so I cannot confirm.

But I was surprised of the result shared by evanlight too

@evanlight: did you run the test using battery, or connected to power?

ciao,
Beppe

[chris_arnold]

Rendering the procedural Chess Scene, RenderTarget PT, my Mac Studio with M1 Ultra (64-core GPU) came in at 22 seconds and my MacBook Pro M2 Max (plugged into power) rendered it in 28 seconds. This is odd, as the M1 Ultra's were benchmarking at 15 seconds earlier in this forum. Why would they now be rendering much slower?

[davidvonbehr]

Hi everyone,

I can confirm the 28 secs for our new MacBook Pro 16 M2 Max as well - exactly the same. Factory fresh install.
To be honest, I expected a bit more ...

Rendering the procedural Chess Scene, RenderTarget PT, my Mac Studio with M1 Ultra (64-core GPU) came in at 22 seconds and my MacBook Pro M2 Max (plugged into power) rendered it in 28 seconds. This is odd, as the M1 Ultra's were benchmarking at 15 seconds earlier in this forum. Why would they now be rendering much slower?

[bepeg4d]

Ok, OctaneX PR14 is too old for comparison with chess scene only.
M1/M2 cannot render Volume and AI Denoiser with PR14, so I have created a new scene for comparison, that shows that CPU speed has a great importance with AMD + Denoiser:

OctaneXBench_VolumeDenoiser.orbx.zip

(43.03 MiB) Downloaded 1068 times

Here are my results:

M1 Mac Mini

Radeon Pro Vega II Mac Pro

Radeon VII Mac Mini i3

Radeon RX 6900 XT Mac Mini i3

M1 iPad Pro

AI Denoiser can take more than 30" with a slow Intel CPU.
Note that iPad Pro M1 16GB is slightly faster than M1 Mac Mini 16GB.
It would be nice to have other results with the new scene.

If interested, you need to use Standalone 2022.1 with M1/M2, and Standalone PR14 with AMD/Intel macs.
If you share a screenshot from a AMD GPU, please also share the CPU model, thanks.

ciao,
Beppe

[tripledistilled]

If interested, you need to use Standalone 2022.1 with M1/M2, and Standalone PR14 with AMD/Intel macs.
If you share a screenshot from a AMD GPU, please also share the CPU model, thanks.

ciao,
Beppe

Minor differences here, but I have the M1 Mac being slightly faster.

M1 iPad Pro: 180s
M1 Mac Mini (16GB): 160s

[spybreak]

Macbook Pro 16" M1 Max 32c 64GB: 44 seconds

[chris_arnold]

Mac Studio with M1 Ultra (64-core GPU)

MacBook Pro M2 Max (plugged into power)

[spybreak]

Mac Studio with M1 Ultra (64-core GPU)

Mac Studio M1 Ultra.png

MacBook Pro M2 Max (plugged into power)

MacBook Pro M2 Max.png

Okay so that's showing around 20% improvement from M1 Max to M2 Max, which is closer to Apple's claims. Interesting.