You may think Android-x86 as an Android BSP of generic x86 platforms.
To provide a complete solution for Android on common x86 platforms.
Some components are licensed under GNU General Public License (GPL) 2.0 or later. This is an open source project licensed under Apache Public License 2.0. To provide support on different x86 platforms, and set up a git server to host it. A few months after we created the project, we found out that we could do much more than just hosting patches. The original plan is to host different patches for android x86 support from open source community.
The MacBook Pro 13-inch is only about 8 percent faster than the iPad Pro in single-thread, and 10 percent slower in multi-thread.This is a project to port Android Open Source Project to x86 platform, formerly known as " patch hosting for android x86 support". Here, we’re looking at 1120 single-core, 4650 multi-core, with a scaling factor of 4.16x. If we assume that the A12X in the iPad Pro is a pretty good stand-in for the A12Z, we can check ARM-native Geekbench performance, albeit in iOS, not macOS. Data from the iPad Pro suggests it might be the former. But the upshot of this effect is that we don’t really know if that 1.44x lead the 13-inch MacBook has is the product of emulator handicapping or if it’s a pretty good look at the CPU’s performance.
Some applications are harder to emulate than others. Rosetta 2 is specifically designed to avoid those outcomes, but historically, there’s a nasty corner case or two lurking somewhere in any emulator.
Some programs might run with relatively small penalties, while others crater and die. One thing to keep in mind is that emulation performance can vary drastically depending on the application.
Similarly, the Macbook Pro 13-inch is roughly 1.44x faster than the A12Z in both single-threaded and multi-threaded mode. This also works out to a scaling factor of approximately 3.5x. On the x86 side of the equation, there’s the 13-inch MacBook Pro, with scores of 12. We see single-threaded scores of 844 and a multi-threaded score of 2958, which yields a scaling factor of 3.5x.