What’s that 2070 Super (CUDA), is it also mobile or desktop class? And are there 3060 mobile CUDA numbers there too?$1200 Lenovo Legion Slim 7 with 3060 at 70W is 2.6x faster on BMW render than $3K+ MBP M1 Max. Desktop RTX is even faster at <10s.
16.39s - 3060 70W mobile (OptiX Blender 3.0)
20.57s - reference 6900xt (HIP Blender 3.0)
29s - 2070 Super (OptiX)
31s - 3060 70W mobile (OptiX Blender 2.93)
42.79s - M1 Max 32GPU (Metal supported Blender 3.1 alpha)
48s - M1 Max 24GPU (Metal Blender 3.1 alpha + patch)
51s - 2070 Super (CUDA)
1:18.34m - M1 Pro 16GPU (Metal Blender 3.1 alpha + patch)
2.04m - Mac Mini M1 (Metal Blender 3.1 alpha + patch)
2:48.03m - MBA M1 (Metal supported Blender 3.1 alpha)
3:55.81m - AMD 5800H base clock no-boost and no-PBO overclock (CPU Blender 3.0)
5:51.06m - MBA M1 (CPU Blender 3.0)
It’s just to have a non hardware ray traced comparison baseline between the two for now. That said, I have seen some “metalRT” flags being dropped on some update comments on the blender repo files. Might hint at some metal enabled ray tracing. And who knows maybe they go the extra mile with CoreML for image denoising via the neural engine cores. Might help these numbers.
Would be also great to have comparisons on heavier scenes and constant everyday workflows.
What I have noticed on some videos is that the M1M might take 30s to render an image vs another RTX taking 20s, yet it will open blender, the blend file, compile some kernels (don’t really know what that is, it appears as a progress bar bottom), prepare some data before render starts and finish those 30s while the other is still stuck at some of the previous states for longer before it gets to the point to take the 20s render time.
I think that’s something important to take into consideration… except if used just as a render farm that is, no beating that use case yet.