Exynos is built for the future of mobile gaming. Equipped with custom AMD chipsets and AMIGO (Advanced Multi-IP Governor) technology, you’ll experience lagless video and razor-sharp graphics performance. Harnessing the power of GPU and Advanced Multi-IP Governor technology, Exynos processors deliver immersive, lag-free gaming and mixed-reality experiences that rival consoles and PCs.
Unlock cutting-edge mobile performance
Optimized to enhance processing speed and power efficiency, Exynos processors’ CPUs bring exceptional single-core and multi-core performance to smartphones, delivering next-generation mobile experiences.
Lasting battery life
Exynos delivers longer battery life with enhanced energy efficiency, letting you preserve battery power for when you really need it. The processor’s main IPs are designed for power, performance, and superior energy economy, so you’ll go further on every charge.
Lightning-fast 5G connectivity
Equipped with carrier aggregation technology, Exynos processors offer downlink speeds up to 7.34Gbps, maximizing the potential of 5G connectivity for uninterrupted streaming and advanced cloud gaming.
Smarter, more intelligent AI
Exynos processors are built to provide the intelligence required for next-generation mobile experiences. Featuring best-in-class NPUs, they enable more powerful on-device AI performance with remarkable efficiency.
A new way to capture the world
Capture incredible content with intelligent multi-camera experiences. From AI-powered camera features to stunning low-light shots, Exynos’s advanced ISP sets a new standard for mobile photography.
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Mobile devices such as smartphones are equipped with mobile processors designed for them, with a variety of functions based on low power consumption and high performance. Although there is a significant difference, a mobile processor—also called the brain of the mobile device—is often compared to a computer’s CPU in terms of functionality and performance. However, mobile processors such as Exynos are also called SoCs (system on chip), and are systems in which key components such as the central processing unit (CPU), graphics processing unit (GPU), image signal processor (ISP), neural processing unit (NPU) for AI calculation, and a modem for network communication are integrated into a single small chip.*
* Actual components may vary depending on the processor.
A mobile processor plays a role in operating and controlling most of the core operations performed in mobile devices like smartphones, tablets, and smartwatches. It performs numerous functions such as AI calculation, computing calculation, graphic calculation, image processing, video encoding and decoding, display control, 4G or 5G network connection, Bluetooth and Wi-Fi connection, and confirmation of location information. In essence, a mobile processor powers the majority of a user’s mobile experience from the moment a smartphone is turned on.
Assuming that the performance of each core is the same, the more cores there are the more tasks that can be processed at the same time, allowing faster performance. However, performance can change depending on a variety of variables, such as how well each core performs individually and how the scheduler operates. The Exynos processor provides balance of performance and power efficiency with a combination of high-performance CPU cores and low-power CPU cores, a cluster structure and an effective scheduler layout.
Clock speed refers to the number of cycles the processor executes per second. A clock speed of 1 GHz means that the processor is executing 1 billion cycles in 1 second. However, as there is a difference in the amount of work that can be accomplished per cycle, clock speed is not always necessarily proportional to performance. Additionally, as high performance and power efficiency are both crucial for mobile devices, the Exynos processor provides balance of performance and power efficiency by configuring high-performance CPU cores for high-performance tasks and low-power CPU cores for everyday tasks at different clock speeds.
It is important to be able to render 3D images consistently at a fixed frame rate so that consumers can perceive the images as seamless. In recent years, whether or not functions such as ray tracing and variable rate shading (VRS) used in graphics cards for PCs or game consoles are supported have also been an important factor. The Exynos 2200 processor is the first product in the industry to support hardware-based Ray Tracing technology in mobile, depicting shadows and reflections of light close to reality, and can implement console-level graphics on mobile phones, such as efficient graphic rendering through VRS.
The neural processing unit (NPU) is a component that models the structure of the human nervous system and is designed for simultaneous matrix calculation to implement artificial intelligence. The NPU is made up of a countless number of nerve cells and synapses that transmit and receive signals to and from each other simultaneously, just like the human brain. The central processing unit (CPU) also has the computational power to process data, but the NPU is optimized for simultaneous matrix calculations as well as deep learning algorithm calculations. Moreover, the NPU is also able to learn based on accumulated data in order to deduce solutions. The latest Exynos mobile processors have built-in NPU so that smartphones containing such Exynos processors are able to perform artificial intelligence-based applications on their own without having to go through a cloud server.*
* Only applicable to certain processors.
When taking photos and videos, the mobile processor controls the image sensor in accordance with the shooting environment and conditions to deliver the best image quality. The image signal processor (ISP) of the mobile processor controls exposure, focus, and white balance based on the light information sensed and collected through the image sensor, while noise reduction, high dynamic range (HDR), and other processes create higher quality images. In particular, the latest mobile processors like the Exynos use the built-in neural processing unit (NPU) to identify the type of subject the user is shooting and hence offer enhanced image processing. With such content recognition image processing technology, the latest Exynos processors can distinguish between the type and placement of multiple subjects in a single scene and apply appropriate image processing for each.*
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