iMac 24-inch M1 (4-ports, 2021) Silver - Excellent
SKU: 40634341360

iMac 24-inch M1 (4-ports, 2021) Silver - Excellent

Sale price$290.25 Regular price$322.50
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Description

iMac 24-inch M1 (4-ports, 2021) Silver - ExcellentApple announced the 24 inch iMac in May 2021 as the first iMac to feature the new Apple M1 chip. The iMac features the first major redesign of the iMac since 2012 with a slimmer bezel, flat back, and all new colour options. This model was available as a entry level two port model with a 7 Core GPU, or a four port model with an 8 Core GPU. Spec Processor Apple M1 chip with 8 core CPU, 8 core GPU and 16 core Neural Engine Memory Configurable to 8GB or


Apple announced the 24-inch iMac in May 2021 as the first iMac to feature the new Apple M1 chip. The iMac features the first major redesign of the iMac since 2012 with a slimmer bezel, flat back, and all new colour options. This model was available as a entry-level two-port model with a 7-Core GPU, or a four-port model with an 8-Core GPU. 

Spec

Processor Apple M1 chip with 8-core CPU, 8-core GPU and 16-core Neural Engine

Memory Configurable to 8GB or 16GB unified memory

Storage SSD, Configurable to 256GB, 512GB, 1TB or 2TB

Display 24-inch 4.5K Retina display, 4480-by-2520 resolution, True Tone technology

Camera 1080p FaceTime HD camera with M1 imagine signal processor

Audio High-fidelity six-speaker system with force-cancelling woofers, three-mic arrange with directional beamforming, support for Dolby Atmos, support for "Hey Siri"

Connections Two Thunderbolt / USB 4 ports with support for DisplayPort, Thunderbolt 3, USB 4 and USB 3.1 Gen2. Two USB 4 only ports.

Wireless WiFi 6 (802.11x) and Bluetooth 5.0

Size and Weight (H)46.1 by (W)54.7 by (D)14.7cm, weighing 4.46kg

macOS macOS 15 Sequoia

Video Support One external display with up to 6K resolution at 60HZ 

Boring Stuff Order No: MGPC3B/A (Silver) - Model No. A2438 (EMC 3663) - Model ID: iMac21,1

Please Note...

The accessories provided will be Silver in colour.

Performance

Geekbench 6 Single Core - 2339

Geekbench 6 Multi Core - 8333


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SKU: 40634341360

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David Escobar
Port Orchard, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
F
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Filipe Fernandes
Birmingham, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
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Eddwin Paz
Boise, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
San Leandro, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Phoenix, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025

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