AMD Unveils Impressive Ryzen 8000 APU: 16 RDNA3.5 GPU Cores Revealed

12 cores, with 4x Zen 5 , (Big/P-Core) and 12x Zen5c (Small/E-Core)
16 Compute Units and 1024 unified shaders
Significant increase in CPU and GPU core counts compared to current Phoenix APUs

AMD’s highly anticipated Ryzen 8000 APU has been the subject of much speculation, but a recent leak seems to have shed some light on its configuration. It appears that the Ryzen 8050 APU series will feature 12 cores, with 4x Zen 5 , (Big/P-Core) and 12x Zen5c (Small/E-Core). This information comes from leaked screenshots of an AMD Strix Point APU, which reveals a total of 16 Compute Units and 1024 unified shaders.

It’s worth noting that the integrated GPU is labeled as AMD Strix – Internal GPU, but this is likely a result of the software used to capture the specs. The reported 512MB GDDR6 memory configuration is also likely inaccurate. The leaked screenshots showcase the STX1-A0 silicon, designed for a 45W TDP, suggesting that it may be a prototype for a mobile processor. This particular CPU is paired with 32GB LPDDR5 memory.

The Strix Point APU is just one variant of the Zen 5 , core that AMD plans to use in its Ryzen 8000 lineup. We can expect a range of processors with different combinations of Zen4/Zen5/Zen5c CPU architectures, along with either RDNA3 or RDNA3.5 GPU architectures. The Strix Point APU is positioned as the successor to the Ryzen 7040H(S) series, commonly found in mainstream Laptops. However, with the introduction of the 16CU RDNA3.5 integrated graphics, there may be less need for discrete graphics in such laptops.

This leak also reveals a significant increase in CPU and GPU core counts compared to the current Phoenix APUs favored by handheld gaming device manufacturers. With the upgraded CPU architecture and higher GPU core count, we can expect a notable performance boost in these systems, assuming manufacturers choose to release new hardware revisions.

In summary, the leaked information about the AMD Ryzen 8000 12-core Zen 5 , “Strix Point” APU provides some insight into its configuration and potential performance improvements. However, it’s important to note that these details are based on leaks and should be taken with a grain of salt until official announcements are made.

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Background Information

About AMD: AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

Technology Explained

APU: An APU, or Accelerated Processing Unit, is a type of processor that combines a CPU and a GPU on a single chip. This type of processor is becoming increasingly popular in the computer industry due to its ability to provide both computing and graphics processing power in a single package. APUs are used in a variety of applications, from gaming PCs to high-end workstations. They are also used in embedded systems, such as those found in smartphones and tablets. The combination of CPU and GPU on a single chip allows for more efficient power consumption and better performance than traditional CPUs. Additionally, APUs are often used in conjunction with other components, such as RAM and storage, to create powerful and efficient systems.

Compute Units: Compute Units (CUs) are a type of processor technology used in the computer industry. They are designed to provide high-performance computing capabilities for a variety of applications. CUs are typically used in graphics processing units (GPUs) and are responsible for the majority of the processing power in modern gaming systems. CUs are also used in other areas of the computer industry, such as artificial intelligence, machine learning, and data analysis. CUs are designed to be highly efficient and can provide significant performance gains over traditional CPUs. They are also capable of handling multiple tasks simultaneously, making them ideal for applications that require high levels of parallel processing.

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.

GDDR6: GDDR6 stands for Graphics Double Data Rate 6th generation memory. It is a high performance memory used in graphics cards and graphics processing units (GPUs), specifically targeting gaming, AI and deep learning-related applications. GDDR6 achieves higher bandwidth than previous generations, allowing faster and smoother gaming experience for users. It is also more power efficient, resulting in lower energy consumption overall. The improved power efficiency makes it adaptable to today's needs of thinner laptops and ultra-high definition gaming laptops. Additionally, GDDR6 is used in storage solutions and advanced data center applications to help streamline large amounts of data at lightning-fast speeds.

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.