There are two major issues for the 120hz ProMotion on the new Macbook pro. Safari scrolling of 120hz is not supported. Scrolling with inertia only triggers a 60hz scrolling event instead of 120hz. I'm using the latest MacOS 12.01 on the Macbook Pro 16-inch 2021. The first issue will impact the smooth scrolling of Safari, and the second issue will affect the scrolling experience like Chrome if using trackpad as the inertia scrolling is only 60hz. Please fix the issue first! At least give users option to choose if you are concerning about battery life and you can optimise later. Thanks!

I'm using latest Macbook Pro M1 Max chip, and I did some benchmark using tensorflow-metal (v2.6): import tensorflow as tf def foo():   x = tf.random.uniform((1024 * 12, 1024 * 12), dtype=tf.float32)   y = tf.random.uniform((1024 * 12, 1024 * 12), dtype=tf.float32)   z = x * y   return z if __name__ == '__main__':   z0 = None   for _ in tqdm(range(10000000000)):     zz = foo()     if z0 is None:       z0 = zz     else:       z0 += zz The above code runs at on average of 29.66 it/s for M1 Max chip which should use all the GPU cores of M1 max chip (GPU utilisation is also 100%). But same code running on a Zotac RTX 3090 Trinity is 175.22 it/s, which means M1 max chip is only 16.9% the performance of RTX 3090. Note that M1 Max in theory should result in 10.4 TFLOPS and RTX 3090 is roughly 35.5 TFLOPS, it means M1 Max should be 29.3% the performance of a RTX 3090. I also notice that M1 max only consumes 12 watts, but a RTX 3090 consumes 340 watts. While on gaming, M1 max usually consumes 30~40 watts which is much higher compared to deep learning setting. My guess is tensorflow-metal somehow doesn't utilise all the performance of M1 max, that's why the power consumption is so low and so is the matrix multiplication performance. Can you look into this issue?