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Unbiased insights that cut through vendor noise.
BenchSmart analyzes metrics like CPU, GPU, and NPU utilization, enabling precise comparisons across platforms. This empowers businesses to make informed decisions, validating OEM claims and refining product selection criteria.
By leveraging standardized AI workloads alongside custom enterprise scenarios, it ensures evaluations are fair and relevant to real-world use cases. This approach focuses on measurable performance indicators, giving your IT decision-makers confidence in their choices. The platform’s neutrality helps organizations avoid vendor lock-in and select hardware that meets enterprise and employee needs.
See beyond benchmarks — understand true AI efficiency.
BenchSmart delivers comprehensive, real-world performance insights for AI workloads across modalities, including text, image, speech, and video. It measures inference rate, tokens per second, power consumption, battery impact, and utilization across NPU, GPU, and CPU — providing a holistic view of device performance under realistic conditions like multitasking, power versus battery use, and prolonged usage.
By correlating speed and latency with energy efficiency, BenchSmart enables IT teams to optimize deployments for productivity, sustainability, and device health. This granular visibility empowers organizations to balance performance while proactively managing device health for long-term reliability.
Consistent testing. Reliable results. Smarter decisions.
BenchSmart runs tests locally to simulate actual usage, while centralizing results to maintain consistency. This eliminates background noise and data skew, ensuring clean, comparable insights across devices and environments.
The models used for testing are optimized for the specific architectures of the test machines, similar to how software is tailored to the platform and device on which it runs. This approach ensures the test models closely mimic those that would be deployed in real-world scenarios, eliminating variables such as network latency or uncontrolled background processes that can skew results. The methodology helps enable repeatable, reliable evaluations across diverse environments, from office setups to remote work scenarios; by standardizing test conditions, BenchSmart provides IT teams with clean, actionable insights that can be trusted for strategic planning.
Solution brief
With detailed insights and accurate comparisons, you can make smarter AI device choices.
Track performance evolution across generations.
BenchSmart generates in-depth reports that benchmark AI performance across device generations, silicon architectures, and OEM configurations. These reports include visual dashboards, trend analyses, and historical comparisons, offering a holistic view of progress over time.
IT leaders can use these insights to identify performance gaps, forecast future requirements, and align hardware investments with organizational goals. Historical data adds valuable context, enabling teams to evaluate whether new models deliver meaningful improvements or incremental gains. This level of transparency supports informed decision-making and long-term technology roadmaps.
Measure what matters: the real impact on users.
Beyond raw performance metrics, BenchSmart evaluates how AI workloads impact overall system responsiveness and end-user experience. By simulating enterprise-grade tasks — such as document summarization, real-time translation, or predictive analytics — the platform uncovers potential bottlenecks that could hinder productivity. Stress-testing under realistic conditions ensures devices maintain smooth operations even during peak demand.
These insights help IT teams select hardware that not only excels in benchmarks but also delivers a seamless experience for employees. Ultimately, BenchSmart bridges the gap between technical performance and practical usability, ensuring deployments meet business expectations without compromise.
