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ML accelerators The two dedicated ML accelerators are built for fast matrix multiplication, executing up to one trillion operations per second - perfect for low-latency ML tasks that don’t require the massive power of the Neural Engine. The CPU, GPU, and Neural Engine are each designed for different types of machine learning workloads - and the ML performance controller distributes ML tasks to the right places to maximize performance.
Optimized for machine learning The entire M1 chip is engineered for machine learning.
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Neural Engine The dedicated 16-core Neural Engine in the M1 chip can execute up to a staggering 11 trillion operations per second, powering workflows you couldn’t imagine before - like enabling the djay Pro AI app to isolate instrumentals and vocals of any song in real time. And that data is processed on device to protect your privacy - all at lightning speed. Machine learning lets apps build and apply models based on massive amounts of data - to do things like identify friends and family in photos and videos, interpret natural language for dictation, and even analyze audio to recognize laughter, applause, and more.
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The magic of machine learning The machine learning technologies in the M1 chip open up a world of possibilities for Mac apps. These e-cores are the most efficient place to run lightweight tasks, allowing the performance cores to tackle the most demanding workloads. And create stunning images in Adobe Lightroom with unprecedented speed and responsiveness.įour efficiency cores Four efficiency cores deliver outstanding performance for everyday tasks using just a tenth of the power. Record, mix, and master professional-quality music in Logic Pro with scores of tracks, plug-ins, and virtual instruments. Compile in Xcode in significantly less time. This results in a quantum leap in performance - even while drawing much less power.įour performance cores Our high-performance core is the world’s fastest CPU core when it comes to low-power silicon 4 - and M1 has four of them combining their efforts for a massive boost in performance.
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In the meantime, we are waiting for a monster Mac Pro announcement in 2019 that will really put Apple on the professional computing map once again.8-core CPU The 8-core CPU in M1 combines four performance cores and four efficiency cores to deliver incredible CPU performance per watt 3 for both single-threaded and multithreaded tasks. Hopefully, the gang at Cupertino won’t let it go again like it did with the 2014 model. I think the new Mac mini was the most pleasant surprise at Apple’s October event. The base model is quite the capable little fella and it will take a lot of plugin and sampler instances before it starts aching and panting.
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If you ask me, the new Mac mini is THE starter Mac for music production – an affordable way to get into the macOS ecosystem and run Logic Pro X at full speed. You can max out the configuration with up to 64GB of RAM, a 4.2GHz six-core Intel Core i7 processor, 2TB SSD, and 10Gb Ethernet port for around USD 4,199.
Additionally, the new Mac mini comes in a space gray finish like most modern Mac computers.Īpple will start selling the new Mac mini on November 7th, starting at USD 799 for the base model with a quad-core Intel Core i3 processor, 8GB RAM, and 128GB of SSD storage. To sweeten things up, Apple is also bringing its new T2 security chip on board and switching the connectivity options around with four USB-C Thunderbolt 3 ports, HDMI, Ethernet, and two USB-A ports on the rear. Thankfully, rather than continuing in the 2014 model’s rather underwhelming direction, this time Apple is touting a full-fledged professional computer with big boy hardware such as quad-core 8th Gen Intel processors, support for up to 64GB of RAM, and up to 2TB of space.
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