Apple introduces M4 chip, a game-changer in computing expertise.


May 9, 2024 by our News Team

Apple's latest chip, the M4, boasts impressive performance and advanced technologies such as a new display engine, 10-core CPU, and powerful Neural Engine, solidifying the iPad Pro as the most powerful device in its class.

  • The M4 chip is built using second-generation 3-nanometer technology, making it incredibly power-efficient.
  • The new display engine specifically designed for the Ultra Retina XDR display enhances precision, color accuracy, and brightness.
  • The M4 chip boasts a 10-core CPU, 10-core GPU, and Apple's fastest Neural Engine ever, making it a powerhouse for AI tasks.


Apple has just launched its latest chip, the M4, which promises to deliver exceptional performance to the all-new iPad Pro. The M4 chip is built using second-generation 3-nanometer technology and serves as a system on a chip (SoC) that not only enhances the power efficiency of Apple silicon but also enables the incredibly thin design of the iPad Pro.

One of the standout features of the M4 chip is its brand new display engine, specifically designed to drive the precision, color accuracy, and brightness of the breakthrough Ultra Retina XDR display found on the iPad Pro. This display engine works in tandem with the M4’s new CPU, which boasts up to 10 cores, and the 10-core GPU that builds upon the next-generation GPU architecture introduced in the previous M3 chip.

The M4 chip introduces several exciting advancements to the iPad Pro. For the first time, it brings Dynamic Caching, hardware-accelerated Ray Tracing, and hardware-accelerated mesh shading to the iPad. Additionally, the M4 chip features Apple’s fastest Neural Engine ever, capable of an impressive 38 trillion operations per second. This makes the new iPad Pro an incredibly powerful device for artificial intelligence tasks.

According to Johny Srouji, Apple’s senior vice president of Hardware Technologies, “The new iPad Pro with M4 is a great example of how building best-in-class custom silicon enables breakthrough products.” He further explains that the power-efficient performance of the M4 chip, along with its new display engine, contributes to the thin design and game-changing display of the iPad Pro. The improvements made to the CPU, GPU, Neural Engine, and memory system make the M4 chip perfectly suited for the latest applications that leverage AI. Overall, this new chip solidifies the iPad Pro as the most powerful device of its kind.

The M4 chip brings several new technologies that enable the impressive performance of the new iPad Pro. With 28 billion transistors built using second-generation 3-nanometer technology, the M4 chip significantly improves power efficiency. Additionally, the chip’s new 10-core CPU, consisting of four performance cores and six efficiency cores, offers enhanced branch prediction and wider decode and execution engines. The M4 chip also boasts a high-performance GPU with Dynamic Caching, hardware-accelerated ray tracing, and hardware-accelerated mesh shading capabilities.

The Neural Engine in the M4 chip is a standout feature, capable of an astounding 38 trillion operations per second. This makes it Apple’s most powerful Neural Engine to date, surpassing the capabilities of any neural processing unit found in AI PCs today. Combined with next-generation ML accelerators in the CPU and high-bandwidth unified memory, the Neural Engine ensures that the M4 chip is a powerhouse for AI tasks.

The Media Engine of the M4 chip is also worth noting, as it supports popular video codecs such as H.264, HEVC, and ProRes. Additionally, it introduces hardware acceleration for AV1, providing more power-efficient playback of high-resolution video experiences from streaming services.

In terms of environmental impact, the M4 chip’s power-efficient performance contributes to the all-new iPad Pro meeting Apple’s stringent energy efficiency standards and delivering all-day battery life. Apple is committed to sustainability and aims to be carbon neutral across its entire manufacturing supply chain and product life cycle by 2030.

With the introduction of the M4 chip, Apple continues to push the boundaries of what is possible with its custom silicon. The new iPad Pro equipped with this chip offers exceptional performance, stunning display quality, and advanced AI capabilities. It’s clear that Apple’s investment in developing its own chips has paid off, making the iPad Pro the most powerful device in its class.

Apple introduces M4 chip, a game-changer in computing expertise.

Apple introduces M4 chip, a game-changer in computing expertise.

Apple introduces M4 chip, a game-changer in computing expertise.

Apple introduces M4 chip, a game-changer in computing expertise.

Apple introduces M4 chip, a game-changer in computing expertise.

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Background Information


About Apple:

Apple Inc., known for its iconic products, was founded by Steve Jobs, Steve Wozniak, and Ronald Wayne in 1976. The company has since revolutionized the technology landscape with innovations like the Macintosh computer, iPod, iPhone, iPad, and more. for its emphasis on design, user experience, and ecosystem integration, Apple's devices and software have made a profound impact on various industries. With a commitment to quality and innovation, Apple remains a global technology leader.

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Technology Explained


CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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Ray Tracing: Ray tracing is an advanced rendering technique used in computer graphics to simulate the way light interacts with objects in a virtual environment. It traces the path of light rays as they travel through a scene, calculating how they interact with surfaces, materials, and lighting sources. By simulating the complex behaviors of light, ray tracing produces highly realistic and accurate visual effects, including lifelike reflections, shadows, and refractions. This technology enhances the overall visual quality of images and animations by accurately replicating how light behaves in the real world, resulting in a more immersive and visually stunning digital experience.

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SoC: A System-on-Chip (SoC) is a highly integrated semiconductor device that encapsulates various electronic components, including processors, memory, input/output interfaces, and often specialized hardware components, all on a single chip. SoCs are designed to provide a complete computing system or subsystem within a single chip package, offering enhanced performance, power efficiency, and compactness. They are commonly used in a wide range of devices, from smartphones and tablets to embedded systems and IoT devices, streamlining hardware complexity and facilitating efficient integration of multiple functions onto a single chip.

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