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Traverse Research

Benchmarking and GPU workload research

Repeatable workloads that reveal architectural trade-offs, and Evolve, the benchmark we build and sell.

A workload render from Evolve, our GPU and AI benchmark.
A workload render from Evolve, our GPU and AI benchmark.

The problem

Traverse Research develops and investigates GPU workloads for hardware evaluation. We connect repeatable measurements to rendering and architecture questions so a result can inform a design decision.

Hardware behaves differently under different workloads. A change can help one stage while moving cost into another. Understanding that trade-off requires control over the workload, its settings and the measurement conditions. Repeatability is what makes comparison useful.

What we do

Our work spans early and pre-silicon investigation as well as consumer hardware. That engineering is also a product: Evolve, our cross-platform GPU and AI benchmark, launched in March 2025 and run in-house by Qualcomm and Samsung. Its features, downloads and business offerings live on its own website.

For a research engagement, we agree the question first: which resources matter, what comparison is meaningful and how the evidence will be used.

A benchmark other teams can evaluate

Evolve launched in March 2025. In February 2026, LTT Labs published an evaluation of Evolve 13.1 across five Android devices, with repeated measurements and comparisons against other GPU benchmarks. Its results and methodology provide an independent view of the product built on this engineering.

Read the LTT Labs evaluation · Explore the Evolve case study.

A few useful answers.

What is Evolve?

Evolve is our GPU and AI benchmark, a Traverse product you license and run yourself. It has its own brand and website, and it is built by the same team that does our benchmarking research.

Can you investigate a specific workload?

Yes. A scoped research engagement can focus on the workload and measurement conditions relevant to your architecture question.

Can results remain confidential?

Yes. Reporting and publication boundaries are agreed with the partner, including NDA-safe public summaries where appropriate.

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