Achieving AI PC success: Your BenchSmart advantage is here

From document summarization and meeting transcription to routine task automation and multimodal content drafting, artificial intelligence (AI) is no longer a luxury – it’s essential to your productivity. But without the right hardware, your efforts to push your organization forward with AI workflows might inadvertently drag you down. That’s because AI places high performance demands on your device’s CPU and GPU.

Units even just a few years old likely aren’t configured for this shift, and if you’re still holding on to devices from your pandemic-era refresh, they almost certainly don’t have neural processing units (NPUs) purpose-built for AI tasks.

But as you plan your next hardware refresh with AI in mind, how do you know which devices, OEMs, and silicon platforms will work best for your use cases? Whether deploying AI PCs or edge devices, you need a way to evaluate how these systems perform AI tasks under real-world conditions.

That’s where BenchSmart, SHI’s proprietary performance evaluation tool, comes in.

BenchSmart is our innovative solution for evaluating the performance of AI-powered PCs and edge devices. BenchSmart delivers deep, data-driven insights into how systems behave across different silicon platforms and OEM architectures.

How BenchSmart delivers deep insights into AI workloads

Whether you’re testing chat responses, voice transcription, or image generation, BenchSmart offers comprehensive insights into how systems handle different AI tasks.

Our tool runs tests locally on the device and, after completing the tests, offloads results to a centralized database. This ensures only specific test scripts run on the test device, maintaining consistency across evaluations and eliminating interference from background processes.

Our goal is to give you a clear, unbiased view of system performance so you can make data-driven decisions about your device fleet.

We measure system efficiency through key metrics

BenchSmart measures both individual and combined AI workloads, providing a clear picture of system efficiency. It analyzes multiple performance factors, including CPU, GPU, and NPU utilization, ensuring our results account for each component’s contribution. This capability allows for accurate comparisons across various silicon platforms, including AMD, Intel, Apple, and Qualcomm.

We know choosing the right AI device isn’t just about comparing spec sheets. BenchSmart helps you:

• Evaluate real-world AI performance across CPUs, GPUs, and NPUs.
• Objectively compare devices in fair and consistent testing environments.
• Validate OEM claims with reliable, quantifiable data.
• Understand user experience impact by stress-testing systems under enterprise workloads.

The insights we provide aren’t simple anecdotal observations or general inferences – they’re tangible conclusions drawn from real, tested data. BenchSmart tracks the following key metrics to help inform your decisions:

1. Tokens processed per second
2. Power consumption
3. Workload distribution across compute resources
4. CPU, GPU, and NPU utilization
5. Battery life impact

Inform your next device refresh with comprehensive reports and stress tests

We don’t just give you numbers in a chart – we provide detailed reports that compare multiple devices and track performance trends over time. This historical data is invaluable as new models and architectures emerge, helping you determine which devices, OEMs, and silicon platforms function best for your specific AI use cases.

While not designed to mimic user behavior exactly, BenchSmart stress tests systems to understand their performance capabilities under typical enterprise workloads. By doing so, we help infer the impact on user experience when running local AI tasks. This approach empowers you with objective performance evaluations, ensuring informed decisions for AI PCs and edge devices.

Ready to see BenchSmart in action? Learn how BenchSmart can de-risk your AI device evaluations or contact us today to schedule a personalized consultation.