M1 8-core gpu is equal to gtx 1060 6gb!!

[Kung gu]

MacBookPro17,1 - Geekbench

Benchmark results for a MacBookPro17,1 with an Apple Silicon processor.

browser.geekbench.com

Metal Benchmarks - Geekbench

browser.geekbench.com

gtx 1060 6gb metal: 18441

m1 gpu: 18656

This is pretty good for a entry level chip!

 

[TheLastJedi]

I'm curious about its 3d rendering performance.

 

[Janichsan]

You are comparing an OpenCL benchmark with a Metal benchmark. These are completely different metrics.

 

[leman]

MacBookPro17,1 - Geekbench

Benchmark results for a MacBookPro17,1 with an Apple Silicon processor.

browser.geekbench.com

Metal Benchmarks - Geekbench

browser.geekbench.com

gtx 1060 6gb metal: 18441

It doesn't make any sense to look at Metal scores for the GTX 1060 as there is no Mac shipping with that GPU. This is most likely some weird hack.

On Windows, GTX 1060 scores around 35K, irrelevant of the API.

Anyway, M1 doesn't perform too well in Geekbench Compute, my guess it's because of the slower memory bandwidth. It doesn't do too well in LuxMark either. At the same time, many real-world GPU compute applications are sensitive to data transfer latency and M1 will perform much better in those. For example, some initial reports of M1's TensorFlow performance show that it rivals the GTX 1080.