OCCT 12.1 has released, offering a range of new features and tools for GPU owners, including 3D Adaptive testing, CPU and memory testing, and OpenCL testing for enterprise users.
- 3D Adaptive testing feature specifically designed for GPU stress testing
- Ability to monitor peak frequencies of GPUs in relation to rendering intensity
- CPU Cache and Memory Latency/Bandwidth testing in the free version
OCCT, the battle-tested software known for its comprehensive testing capabilities, has recently released its 12.1 update, offering a range of new features and tools for GPU owners. Celebrating its 20th anniversary, OCCT continues to impress with its ability to conduct testing on CPUs, GPUs, and entire systems.
One of the standout additions in this update is the “3D Adaptive” testing feature, specifically designed for GPU stress testing. Powered by the Unreal Engine, this test runs in the background while providing users with real-time statistics, allowing them to see how their GPU handles increasingly demanding rendering tasks. Users can adjust the intensity setting from a modest 20% and gradually increase it up to 100%, with the test automatically incrementing rendering intensity by 5% every five minutes. The feature also includes automatic error detection testing and presents users with multiple graph scenarios for overclocking and stability assessments.
Gamers will particularly appreciate the ability to monitor the peak frequencies of their GPUs in relation to rendering intensity. This feature has received positive feedback from paying members who have had access to it for several months. Now, as promised, 3D Adaptive testing is available in the free (Personal) edition of OCCT, making it accessible to a wider audience.
In addition to the GPU testing enhancements, OCCT 12.1 also brings updates for CPU and memory testing in the free version. The Personal edition now includes CPU Cache and Memory Latency/Bandwidth testing, providing users with more comprehensive insights into their system’s performance. Furthermore, a revamped CPU Core cycling test allows users to customize the number of threads per core, designate active and inactive cores, and specify core behavior during testing.
For enterprise users, OCCT introduces a new OpenCL test in the Enterprise edition. This test is specifically designed to assess high-end data-center GPUs like the nVidia A100 or H100, pushing the limits of GPU performance and enabling simultaneous testing of multiple cards. While not intended for everyday users, this addition proves valuable for certain professional applications.
The OCCT 12.1 update also includes various improvements and bug fixes, such as upgraded UI indicators, better support for AMD GPUs, and enhanced monitoring capabilities.
Overall, the inclusion of these new features in the free edition of OCCT makes it a versatile and valuable tool for GPU testing. It sets a benchmark for other companies and developers to create similar software solutions. To learn more about OCCT 12.1 and download the software, visit the official OCBase website.
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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.
About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.
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.
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.
Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.
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