Mac mini late 2012 memory used 16gb for mac#

More details are available from AppleвЂ™s trade-in partner for trade-in and recycling of eligible devices.

Apple or its trade-in partners reserve the right to refuse or limit quantity of any trade-in transaction for any reason. Desktop computer trade-in is currently only available online and some stores may have additional requirements. Offer may not be available in all stores, and may vary between in-store and online trade-in. In-store trade-in requires presentation of a valid photo ID. Actual value awarded is based on receipt of a qualifying device matching the description provided when estimate was made. Trade-in value may be applied towards qualifying new device purchase or added to an AppleВ Store Gift Card. You must be at least 18В years old to be eligible to trade in for credit or for an AppleВ Store Gift Card.

*Trade-in values will vary based on the condition, year and configuration of your eligible trade-in device.

Have a question? Call a Specialist or chat online. 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 donвЂ™t require the massive power of the NeuralВ Engine. The CPU, GPU and NeuralВ Engine are each designed for different types of machine learning workload - and the ML performance controller distributes ML tasks to the right places to maximise performance.

Optimised for machine learning The entire M1В chip is engineered for machine learning. NeuralВ Engine The dedicated 16-core NeuralВ Engine in the M1В chip can execute up to a staggering 11 trillion operations per second, powering workflows you couldnвЂ™t imagine before - like enabling the djayВ ProВ 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 analyse audio to recognise laughter, applause and more.

Mac mini late 2012 memory used 16gb for mac#

The magic of machine learning The machine learning technologies in the M1В 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 unprecedentВed speed and responsiveness.ДЇour 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 LogicВ 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.ДЇour performance cores Our high-performance core is the worldвЂ™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. It combines four performance cores and four efficiency cores to deliver the worldвЂ™s best CPU performance per watt 3 for both single-threaded and multi-threaded tasks. 8-core CPU The 8-core CPU in M1 is the highest-performing CPU weвЂ™ve ever built, by far.