Log entries give total processing time for the ANE phases of this task, and overall time to handle the search request at the end. OpenCL is another problem, as support for that is now deprecated in favour of Metal and Apple’s Accelerate libraries.Īlthough there are several benchmarks which could be applied to the Apple Neural Engine (ANE) in M1 chips, I decided to use a standard task of Visual Look Up which I know to run at least in part on the ANE. I’m very grateful to Damiano for pointing out that, while a graphics benchmark, Cinebench doesn’t use the GPU at all, and its results therefore represent CPU computation rather than GPU.
![geekbench m1 pro geekbench m1 pro](https://image.itmedia.co.jp/news/articles/2011/13/cover_news060.jpg)
Performance on the two chips was identical for integer, floating-point, NEON and Accelerate. For these tests, E cores were assessed with a workload of two threads run at minimum QoS, which fully loads both the E cores and runs them at maximum frequency, without any contribution from the P cores. This has the strange effect that the time taken to run a single-threaded test is nearly twice that required to run two threads. The E cores on both chips are managed similarly by macOS: with a single low QoS thread, they’re run at low frequency (below 1 GHz), but when loaded with two or more threads, frequency is boosted to 2 GHz.
![geekbench m1 pro geekbench m1 pro](https://images.idgesg.net/images/article/2020/11/13in-m1-mbp-geekbench-5-100866754-orig.jpg)
Performance on the two chips was identical for integer, floating-point, NEON (vector processor) and Accelerate (Apple’s performance library, presumed here to use NEON too). The P cores were assessed with a workload of eight threads run at maximum Quality of Service (QoS), which fully loads all the P cores without any contribution from the E cores.
#GEEKBENCH M1 PRO CODE#
These were tested separately using tight loops of assembly code in AsmAttic.
#GEEKBENCH M1 PRO PRO#
![geekbench m1 pro geekbench m1 pro](https://telecomtalk.info/wp-content/uploads/2018/05/asus-zenfone-max-pro-m1-geekbench.png)
My own app Stibium for SSD performance,.My own app AsmAttic for in-core performance,.
#GEEKBENCH M1 PRO MAC#
Mac Studio M1 Max, 24-core GPU, 32 GB memory, 2 TB SSD, costing £2599, to which you must add a keyboard, input device and display.MacBook Pro 16-inch M1 Pro, 16-core GPU, 32 GB memory, 2 TB SSD, costing £3,399.Now that I have a Studio (Max) sat behind my M1 Pro MacBook Pro, this article compares their benchmark results. A month ago, I explained what performance to expect in Apple’s new Mac Studio models.