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Home Market dynamics

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
The first wave of application products will be launched in late July

Author: Mash Yang
2024-07-24
in Market dynamics, Hard body, Laptop, Processor, observe
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Announced this yearPromoting Zen 5 architecture design products,containRyzen 9000 series desktop processors codenamed "Granite Ridge",as well asThe fifth-generation EPYC server processor, codenamed "Turin", and recently at Computex 2024 and AMD Tech Day events explained that it will be usedRyzen AI 300 series laptop processorsAfter revealing the details of the Zen 5 architecture, this time we further explain the differences in the Zen 9000 architecture used for the Ryzen 5 series desktop processors.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
▲AMD plans to launch processor products designed with the Zen 7 architecture in July, including the Ryzen AI 5 series laptop processors code-named "Strix Point" for multiple laptops, and the Ryzen 300 series desktop processors code-named "Granite Ridge"

Compared to the Zen 4 architecture, the average IPC performance is improved by 16%.

In terms of design, the Zen 5 architecture mainly makes significant improvements to performance. It also prepares for future computing types and adds the AVX-512 instruction set that supports 512-bit data paths to enhance artificial intelligence computing capabilities.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
The Zen 5 architecture significantly improves performance and also prepares for future computing needs. It also incorporates the AVX-512 instruction set, which supports 512-bit data paths, to enhance AI computing capabilities.

At the same time, the Zen 5 architecture design will further improve the cache memory. At the same time, it also launches the Zen 4c derivative architecture design based on the Zen 5 architecture design. In the artificial intelligence computing part, it also supports FP512/FP256 data depth, and is more responsive to features such as scale stacking and energy-saving operation. It can be built in 4nm or 3nm process, and each core can correspond to two execution threads at the same time.

By optimizing the instruction execution path and increasing memory bandwidth, AMD claims that the average IPC (instructions per clock cycle) performance of the Zen 5 architecture design will be improved by 4% compared to the previous generation Zen 16 architecture design.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
▲AMD boasts that the average IPC (instructions per clock cycle) performance of the Zen 5 architecture design will be 4% higher than the previous generation Zen 16 architecture design

New processors expected to be launched this year, such as the Ryzen AI 300 series laptop processors code-named "Strix Point" and the Ryzen 9000 series desktop processors code-named "Granite Ridge", will be designed with the Zen 5 architecture and built using TSMC's 4nmn process.

The fifth-generation EPYC server processor, code-named "Turin", which is expected to be launched later, will be produced using TSMC's 3nm process and will also be designed with the Zen 5 architecture. It is also expected that a derivative specification designed with the Zen 5c architecture will be launched.

Improve prediction accuracy, increase memory bandwidth and other designs to improve computing performance

In terms of overall design, the Zen 5 architecture improves branch prediction accuracy and increases memory transfer bandwidth, thereby reducing instruction execution latency. It also improves vector data processing throughput with a pipeline design with higher transfer bandwidth. In addition, by supporting the AVX-512 instruction set and a full 512-bit data path, the efficiency of artificial intelligence computing is greatly improved.

Other design features include improved decoding execution efficiency, thereby accelerating data decoding execution and transmission performance. At the same time, it also improves instruction execution efficiency through a wider bandwidth and multi-threaded architecture. In addition, the increased bandwidth can correspond to higher data transmission rates and further improve the precision performance of floating-point data calculations.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
▲The Zen 5 architecture design improves branch prediction accuracy and increases memory transfer bandwidth, thereby reducing instruction execution latency and increasing vector data processing throughput with a pipeline design with higher transfer bandwidth.

As for the design differences between the Zen 5 architecture and the Zen 5c architecture, under the same basic conditions, the former will lock in higher execution performance and higher operating clocks, and at the same time the L3 cache memory capacity of each core will be further increased, while the latter maintains the same IPC performance, but exchanges lower operating clocks for lower power loss, and corresponding to the expanded configuration, the L3 cache memory of each core will also be relatively less.

Overall, the Zen 5 architecture is designed to meet all-round application needs, while the Zen 5c architecture meets specific low-power computing requirements. Both can simplify the threshold for developers to design software services or deploy applications through the same foundation and IPC performance.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
The Zen 5 architecture is designed to meet all-around application needs, while the Zen 5c architecture is designed to meet specific computing requirements with low power consumption. Both architectures share the same foundation and IPC performance, simplifying the process for developers to design software services or deploy applications.

The differences in Zen 5 architecture design between laptop and desktop processors

In the designs of the Ryzen AI 300 series laptop processors code-named "Strix Point" and the Ryzen 9000 series desktop processors code-named "Granite Ridge", although both use the Zen 5 architecture design, the overall details are still somewhat different.

For example, the Ryzen 9000 series desktop processors adopt a homogeneous architecture, such as 8 performance cores and 2 CCD core bare die designs, and are equipped with 32MB of L3 cache memory. The Ryzen AI 300 series laptop processors adopt a heterogeneous architecture design, which consists of 2 CCX (CPU Complex) designs, equipped with 4 performance cores and 8 energy-saving cores, equipped with 16MB of L3 cache memory and 8MB of L3 cache memory respectively.

Subsequent products will be scalable through the Zen 5 architecture, corresponding to smaller or larger CCX design configurations, as well as homogeneous or heterogeneous architectures, and can even meet the design requirements of data center-level processors or embedded processors.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
▲The Zen 5 architecture is scalable, allowing for smaller or larger CCX configurations, as well as homogeneous or heterogeneous architectures, and can even meet data center-level processor or embedded processor design requirements.

The Ryzen AI 300 series laptop processors leverage the Radeon GPU design developed in collaboration with Samsung. They utilize a 4-core, 8-thread Zen 5 architecture paired with an 8-core, 16-thread Zen 5c architecture to form the CPU. They also integrate a 16CU RDNA 11 architecture GPU that delivers over 3.5 TFLOPS of computing power, and an XDNA 2 architecture NPU with 50 INT8 TOPS of computing power, enabling even higher AI computing performance.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
The Ryzen AI 300 series laptop processors leverage the Radeon GPU design previously developed in collaboration with Samsung. They utilize a 4-core, 8-thread Zen 5 architecture, paired with an 8-core, 16-thread Zen 5c architecture for the CPU. The Ryzen AI 16 series also incorporates a 11-core RDNA 3.5 architecture GPU that delivers over XNUMX TFLOPS of computing power.

As for the Ryzen 9000 series desktop processors, they correspond to a maximum of two sets of 2-core, 8-thread CCD core bare die configurations, while the display part only integrates the RDNA 16 architecture design GPU, and does not integrate the NPU design. It is mainly used in conjunction with the AM2 pin design to correspond to a longer usage cycle, while targeting higher performance and gaming execution performance.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
▲Ryzen 9000系列桌機處理器則對應最高2組8核心、16執行緒的CCD核心裸晶配置,而顯示部分則僅整合RDNA 2架構設計GPU,並未整合NPU設計

Related application products will be launched in succession at the end of July

The Ryzen AI 300 series processors will collaborate with industry players including ASUS, Acer, Dell, HP, MSI, and Lenovo, and are expected to launch more than 7 application design products starting in July this year. The Ryzen 100 series desktop processors will also be launched at the end of July.

AMD explains the design differences between its Zen 5 architecture for laptop and desktop processors, boosting AI computing performance and preparing for future computing models.
▲AMD emphasized that it will further enhance processor performance with the Zen 5 architecture, focusing on higher AI computing performance.
Tags: AMDEPYCGranite RidgeRyzen 9000Ryzen AI 300Strix PointTurinZen 5Zen 5c
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Mash Yang

Mash Yang

Founder and editor of mashdigi.com, and student of technology journalism.

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