AIEH1000 V.S Intel i3 13100 Performance comparison
Uplaod date: 2024-08-27 16:41:34
Time: 2:49
Description:
Hello everyone! I’m Alex, an Application Engineer at SUNIX. Today, I’m going to demonstrate how you can significantly boost image recognition speed on your PC using the SUNIX AI acceleration card.
Next, I’ll introduce you to our latest product, the AIEH1000 AI acceleration card. This card is specifically designed for PCs with a PCIe interface. The AIEH1000 is powered by the HAILO 8 AI processing chip, which is renowned for its high performance and low power consumption, making it particularly suitable for edge AI applications.
The HAILO 8 is one of the leading AI chips in the industry today, designed specifically for AI inference tasks. It can deliver up to 26 TOPS (Tera Operations Per Second) of computing power while consuming only 5W, making it excel in applications such as image recognition and object detection. The HAILO 8 features an innovative architecture that maximizes data processing efficiency while minimizing latency, making it ideal for real-time processing applications.
Today’s test platform is a Lenovo ThinkStation P3, equipped with an Intel i3-13100 processor. While this processor has some AI inference acceleration capabilities, to clearly demonstrate the performance difference, we’ll compare it with the SUNIX AIEH1000 AI acceleration card on the same PC.
First, let’s look at the CPU’s performance. On the left side of the screen, you can see the CPU running an image recognition test. The data shows that it can process only 5 frames per second (FPS), meaning it can handle just 5 images per second.
Now, let’s look at the results after plugging in the SUNIX AIEH1000 AI acceleration card. On the right side of the screen, the data shows an average speed of 218 FPS, meaning it can process up to 218 real-time images per second.
As we can see from the test results, the image processing speed with the SUNIX AIEH1000 AI acceleration card is more than 40 times faster than using only the CPU. Therefore, in the rapidly growing field of computer vision and AI applications, adding a SUNIX AI acceleration card to a standard PC will better meet customer and market demands.
Additionally, our AI acceleration card can significantly reduce your system’s CPU load, meeting the performance needs for processing multiple real-time video streams and multitasking AI models. The AIEH1000 AI acceleration card consumes only 5W of power on average during model inference, making it especially suitable for integrating your PC into edge AI applications.
You can start using the SUNIX AI acceleration card now to expand your PC business into the AI vision application market. If you have any questions, please feel free to contact us—we’re here to help!
AIEH1000 V.S Intel i3 13100 Performance comparison
Uplaod date: 2024-08-27 16:41:34
Time: 2:49
Description:
Hello everyone! I’m Alex, an Application Engineer at SUNIX. Today, I’m going to demonstrate how you can significantly boost image recognition speed on your PC using the SUNIX AI acceleration card.
Next, I’ll introduce you to our latest product, the AIEH1000 AI acceleration card. This card is specifically designed for PCs with a PCIe interface. The AIEH1000 is powered by the HAILO 8 AI processing chip, which is renowned for its high performance and low power consumption, making it particularly suitable for edge AI applications.
The HAILO 8 is one of the leading AI chips in the industry today, designed specifically for AI inference tasks. It can deliver up to 26 TOPS (Tera Operations Per Second) of computing power while consuming only 5W, making it excel in applications such as image recognition and object detection. The HAILO 8 features an innovative architecture that maximizes data processing efficiency while minimizing latency, making it ideal for real-time processing applications.
Today’s test platform is a Lenovo ThinkStation P3, equipped with an Intel i3-13100 processor. While this processor has some AI inference acceleration capabilities, to clearly demonstrate the performance difference, we’ll compare it with the SUNIX AIEH1000 AI acceleration card on the same PC.
First, let’s look at the CPU’s performance. On the left side of the screen, you can see the CPU running an image recognition test. The data shows that it can process only 5 frames per second (FPS), meaning it can handle just 5 images per second.
Now, let’s look at the results after plugging in the SUNIX AIEH1000 AI acceleration card. On the right side of the screen, the data shows an average speed of 218 FPS, meaning it can process up to 218 real-time images per second.
As we can see from the test results, the image processing speed with the SUNIX AIEH1000 AI acceleration card is more than 40 times faster than using only the CPU. Therefore, in the rapidly growing field of computer vision and AI applications, adding a SUNIX AI acceleration card to a standard PC will better meet customer and market demands.
Additionally, our AI acceleration card can significantly reduce your system’s CPU load, meeting the performance needs for processing multiple real-time video streams and multitasking AI models. The AIEH1000 AI acceleration card consumes only 5W of power on average during model inference, making it especially suitable for integrating your PC into edge AI applications.
You can start using the SUNIX AI acceleration card now to expand your PC business into the AI vision application market. If you have any questions, please feel free to contact us—we’re here to help!
AIEH1000 V.S Intel i3 13100 Performance comparison
Uplaod date: 2024-08-27 16:41:34
Time: 2:49
Description:
Hello everyone! I’m Alex, an Application Engineer at SUNIX. Today, I’m going to demonstrate how you can significantly boost image recognition speed on your PC using the SUNIX AI acceleration card.
Next, I’ll introduce you to our latest product, the AIEH1000 AI acceleration card. This card is specifically designed for PCs with a PCIe interface. The AIEH1000 is powered by the HAILO 8 AI processing chip, which is renowned for its high performance and low power consumption, making it particularly suitable for edge AI applications.
The HAILO 8 is one of the leading AI chips in the industry today, designed specifically for AI inference tasks. It can deliver up to 26 TOPS (Tera Operations Per Second) of computing power while consuming only 5W, making it excel in applications such as image recognition and object detection. The HAILO 8 features an innovative architecture that maximizes data processing efficiency while minimizing latency, making it ideal for real-time processing applications.
Today’s test platform is a Lenovo ThinkStation P3, equipped with an Intel i3-13100 processor. While this processor has some AI inference acceleration capabilities, to clearly demonstrate the performance difference, we’ll compare it with the SUNIX AIEH1000 AI acceleration card on the same PC.
First, let’s look at the CPU’s performance. On the left side of the screen, you can see the CPU running an image recognition test. The data shows that it can process only 5 frames per second (FPS), meaning it can handle just 5 images per second.
Now, let’s look at the results after plugging in the SUNIX AIEH1000 AI acceleration card. On the right side of the screen, the data shows an average speed of 218 FPS, meaning it can process up to 218 real-time images per second.
As we can see from the test results, the image processing speed with the SUNIX AIEH1000 AI acceleration card is more than 40 times faster than using only the CPU. Therefore, in the rapidly growing field of computer vision and AI applications, adding a SUNIX AI acceleration card to a standard PC will better meet customer and market demands.
Additionally, our AI acceleration card can significantly reduce your system’s CPU load, meeting the performance needs for processing multiple real-time video streams and multitasking AI models. The AIEH1000 AI acceleration card consumes only 5W of power on average during model inference, making it especially suitable for integrating your PC into edge AI applications.
You can start using the SUNIX AI acceleration card now to expand your PC business into the AI vision application market. If you have any questions, please feel free to contact us—we’re here to help!
AIEH1000 V.S Intel i3 13100 Performance comparison
Uplaod date: 2024-08-27 16:41:34
Time: 2:49
Description:
Hello everyone! I’m Alex, an Application Engineer at SUNIX. Today, I’m going to demonstrate how you can significantly boost image recognition speed on your PC using the SUNIX AI acceleration card.
Next, I’ll introduce you to our latest product, the AIEH1000 AI acceleration card. This card is specifically designed for PCs with a PCIe interface. The AIEH1000 is powered by the HAILO 8 AI processing chip, which is renowned for its high performance and low power consumption, making it particularly suitable for edge AI applications.
The HAILO 8 is one of the leading AI chips in the industry today, designed specifically for AI inference tasks. It can deliver up to 26 TOPS (Tera Operations Per Second) of computing power while consuming only 5W, making it excel in applications such as image recognition and object detection. The HAILO 8 features an innovative architecture that maximizes data processing efficiency while minimizing latency, making it ideal for real-time processing applications.
Today’s test platform is a Lenovo ThinkStation P3, equipped with an Intel i3-13100 processor. While this processor has some AI inference acceleration capabilities, to clearly demonstrate the performance difference, we’ll compare it with the SUNIX AIEH1000 AI acceleration card on the same PC.
First, let’s look at the CPU’s performance. On the left side of the screen, you can see the CPU running an image recognition test. The data shows that it can process only 5 frames per second (FPS), meaning it can handle just 5 images per second.
Now, let’s look at the results after plugging in the SUNIX AIEH1000 AI acceleration card. On the right side of the screen, the data shows an average speed of 218 FPS, meaning it can process up to 218 real-time images per second.
As we can see from the test results, the image processing speed with the SUNIX AIEH1000 AI acceleration card is more than 40 times faster than using only the CPU. Therefore, in the rapidly growing field of computer vision and AI applications, adding a SUNIX AI acceleration card to a standard PC will better meet customer and market demands.
Additionally, our AI acceleration card can significantly reduce your system’s CPU load, meeting the performance needs for processing multiple real-time video streams and multitasking AI models. The AIEH1000 AI acceleration card consumes only 5W of power on average during model inference, making it especially suitable for integrating your PC into edge AI applications.
You can start using the SUNIX AI acceleration card now to expand your PC business into the AI vision application market. If you have any questions, please feel free to contact us—we’re here to help!