The all-new Mac Pro. Redesigned for extreme performance, expansion, and configurability, it’s a system for pros to push the limits of what is possible.
83 M3 MacBook Pros, and the one for YOU 7321 -- 10:29 App 挑战最快的编译速度 M3 MacBook Pro and the trouble under load 2491 -- 11:58 App 升级内存还是存储?TRUTH about RAM vs SSD UPGRADES for MacBook 131 -- 12:14 App 【无广告纯享】苦无大师:忍者刺客(Kunai Master: Ninja Assassin...
The current 14- and 16-inch MacBook Pro models feature the M4, M4 Pro and M4 Max chips, Thunderbolt 5 on higher-end models, upgraded cameras, and...
While Apple still needs to fully optimize theM1processor and its software for the task, a 13-inch MacBook Pro with Apple Silicon performed nearly as well at a machine learning test as the 16-inch MacBook Pro with dedicated Radeon graphics. Benchmarks for th...
The current 14- and 16-inch MacBook Pro models feature the M4, M4 Pro and M4 Max chips, Thunderbolt 5 on higher-end models, upgraded cameras, and...
Setup a machine learning environment with PyTorch on Mac (short version) Note:As of June 30 2022, accelerated PyTorch for Mac (PyTorch using the Apple Silicon GPU) is still in beta, so expect some rough edges. Requirements: Apple Silicon Mac (M1, M2, M1 Pro, M1 Max, M1 Ultra, etc)....
上图展示了使用 ML Compute 分别在搭载 M1 和英特尔芯片的 13 英寸 MacBook Pro 上进行机器学习训练的情况。柱形的高度代表单批次的训练时长。可以看出,优化后的 Mac 版 TensorFlow 2.4 的训练速度得到了明显提升。在换成 M1 版的新 MacBook Pro 之后,提升就更为明显了,训练速度最高提升了 7 倍。
第一次为数据科学配置 M1 芯片可能是一种痛苦。如果你想原生运行所有的东西,这个过程和英特尔的芯片不一样。幸运的是,网上有不少可行的教程(如:https://towardsdatascience.com/how-to-easily-set-up-m1-macbooks-for-data-science-and-machine-learning-cd4f8a6b706d)。
第一次为数据科学配置 M1 芯片可能是一种痛苦。如果你想原生运行所有的东西,这个过程和英特尔的芯片不一样。幸运的是,网上有不少可行的教程(如:https://towardsdatascience.com/how-to-easily-set-up-m1-macbooks-for-data-science-and-machine-learning-cd4f8a6b706d)。
上图展示了使用 ML Compute 分别在搭载 M1 和英特尔芯片的 13 英寸 MacBook Pro 上进行机器学习训练的情况。柱形的高度代表单批次的训练时长。可以看出,优化后的 Mac 版TensorFlow2.4 的训练速度得到了明显提升。在换成 M1 版的新 MacBook Pro 之后,提升就更为明显了,训练速度最高提升了 7 倍。