![]() We are using the latest version, R23, which has been compiled to run natively on M1 Macs. But even then, the iMac didn't outdo the M1 13-inch MacBook Pro by much.Ĭinebench measures the rendering performance of a CPU. It was only outperformed by an iMac with a desktop-class Core i7 processor. The M1 13-inch MacBook Pro's score of 299 puts it well above any other MacBook, including the 16-inch MacBook Pro with a Core i9 processor. This is a browser benchmark that consists of six HTML5 and JavaScript-based workloads designed to mirror everyday tasks like photo editing, album organising, stock option pricing, and spreadsheets. But when running natively, the M1 MacBook Pro took a considerably shorter amount of time to finish the task and wasn't too far off from a 16-inch MacBook Pro with a Core i9-9880HK processor that has roughly double the TDP. Even while running via translation, the new M1 MacBook Pro took just about as long as the latest Intel 13-inch MacBook Pro. You'll see two bars for the M1 MacBook Pro and that's because it was tested with two versions of Handbrake – one running natively on M1 and another coded for Intel and hence running using Rosetta 2. This tests involves transcoding an hour-long 1080p video using Handbrake and recording the time it took. It's multi-core score was also higher than the iMac and over 68% greater than the Intel 13-inch MacBook Pro that was launched earlier this year. Its single-core score was the highest every recorded and it's over 30% faster than even an iMac with a Core i7-10700K processor. The latest version of Geekbench 5 is a Universal app so it runs natively on the new M1 Macs. Higher scores are better, with double the score indicating double the performance. Geekbench 5 scores are calibrated against a baseline score of 1000, which is the score of an Intel Core i3-8100. Geekbench CPU is a cross-platform processor benchmark that tests both single-core and multi-core performance with workloads that simulate real-world usage. Now lets take a look at the benchmark results. Also, when configured as such, it costs S$2,749 (ouch) – the extra memory and storage costs S$300 extra each. How much the extra memory will affect performance is difficult to say but given that these are mostly CPU intensive workloads, I'm thinking the impact would be negligible. ![]() Now, before we look at the benchmark results, it's important to state that the version I'm testing is a configured model with 16GB of memory and a 1TB SSD. That's the opposite of how Intel systems work, which run at lower clock speeds for most times and only ramps up clock speeds when there's a need. Apple say M1 doesn't have turbo boost and that it rans at its maximum clock speeds most of the time and only slows down when it sees that the system can no longer keep the chip cool. But that number isn't very instructive because clock speeds work very differently on the M1. Apple says it’s more than enough for what these machines are designed for, but if you feel like you need more, you are out of luck.Īpple didn't mention clock speeds but benchmarking utilities say M1 is running at 3.2GHz. This all sounds good and well but it’s necessary to mention that all the M1 Macs are limited to “just” 16GB of memory right now. This negates the need for copying and moving data around and improves performance and reduces power consumption. Briefly put, M1 has a large pool of fast memory (RAM) that’s accessible by all components of the SoC, including the CPU and GPU. The secret sauce, according to Apple, to these incredible leaps in performance and efficiency is M1’s unified memory architecture. Some highlights include 2.5x the CPU performance, 5x the graphics performance, and 11x the machine-learning performance compared to model it replaces.īut the thing that really made an impression upon me was how M1 is claimed to be able to deliver the same CPU performance as the “latest PC laptop chip” with just a quarter of the power and then match the peak performance of current-generation integrated graphics will a third of the power.
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