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IC Evaluation for Vision AI Applications: How TenXer Labs’ LiveBench Empowered a Global Semiconductor Manufacturer

Insant

Faster Evaluation Cycle Time

Zero

Support for Pre-Qualified Customers

Simultaneous Benchmarking

AI Models & IC Performance

Overview

A leading American semiconductor manufacturer, faced challenges in providing customers with a streamlined way to evaluate their vision AI ICs for real-world applications. TenXer Labs’ LiveBench platform emerged as a solution, enabling customers to conduct real-time performance evaluations under various conditions, accelerating the evaluation process and improving customer satisfaction.

Opportunity | Bridging the Gap Between Performance Data and Application

The semiconductor manufacturer recognized the need to provide customers with a more accessible and efficient way to evaluate their vision AI ICs. Traditional methods involved customers purchasing expensive evaluation kits (EVKs), setting up complex lab environments, and seeking extensive support from the manufacturer. This process was time-consuming and often hindered customer adoption.

Problems | Enabling Customer To Perform End-to-End IC Evaluation for Vision AI Applications

  • Enabling customers to evaluate ICs for practical AI use cases that accurately emulates real-world scenarios supporting a wide range of AI use cases, including image classification, object detection, and other vision-based tasks;
  • To showcase internal power dynamics and performance of board under different workloads and operating conditions;
  • Enabling customers to perform bare bone system performance measurement of IC.

Solution | A Cloud-Based Platform for Vision AI IC Evaluation Emulating Real-World Scenarios

TenXer Labs’ LiveBench platform offered a revolutionary solution by providing a cloud-based, realistic representation of customers’ use cases.

Key features included

  • External Peripherals: LiveBench integrated external peripherals like thermal cameras, cameras, and live video sources to emulate real-world conditions.
  • AI Model Integration: Customers could easily test their ICs with various AI models, including those for image classification, object detection, and other vision AI tasks.
  • Scenario Emulation: LiveBench allowed customers to emulate different scenarios, such as single vs. multi-camera input and varying environmental conditions, to assess IC performance under practical conditions.
  • Bare Bone System Measurement: Customers could evaluate the IC’s performance without the overhead of a full system, focusing solely on the IC’s capabilities.

Outcome | Streamlined Evaluation and Enhanced Customer Experience

The implementation of LiveBench resulted in significant benefits for both the semiconductor manufacturer and its customers:

  • Instant Evaluation: Customers could conduct on-demand evaluations of their ICs for various use cases, accelerating the evaluation process and time-to-market.
  • Reduced Support Effort: LiveBench empowered customers to conduct evaluations independently, reducing the need for extensive support from the manufacturer.
  • Comprehensive Performance Analysis: Customers could assess IC performance under different AI models, environmental conditions, and scenarios, gaining valuable insights into power dynamics, thermal performance, and overall system behavior.
  • Golden Reference Model: LiveBench served as a golden reference model for customers to refer to when setting up their own labs for product development.

By providing a streamlined and efficient platform for vision AI IC evaluation, TenXer Labs’ LiveBench empowered the semiconductor manufacturer to enhance customer satisfaction, accelerate product adoption, and strengthen their competitive position in the market.


Take the Next Step

If you’re a semiconductor manufacturer looking to empower your customers and drive business growth, LiveBench is the solution you’ve been waiting for. Contact the TenXer Labs team today to schedule a demo and learn how LiveBench can transform your semiconductor evaluation process.

Together, we can build a more efficient, collaborative, and innovative semiconductor ecosystem.

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