The article summarizes an interview with David Ronca about VCAT Beta 4.0, an open-source video codec benchmarking tool now supporting VVC software decode via Fraunhofer's VVdeC, along with new test vector management features. It details how VCAT is used to characterize software decoding performance on a wide range of Android devices, compares AV1 and VVC battery/thermal behavior, and outlines a roadmap for future encoder, GPU, and AI codec benchmarking capabilities.
VCAT is shifting codec evaluation from short synthetic runs to operational reality: battery drain, thermal events, and sustained playback matter more than headline compression gains. For streaming services, handset vendors, and SoC teams chasing global reach, measurable software-decode profiles determine session length, quality choices, and bundling decisions—especially on $100–$150 Android devices. By open-sourcing shareable test vectors and adding VVC decode, VCAT creates a common yardstick that will pressure decoder vendors and SoC partners to optimize for energy, not just bitrate. Expect these benchmarks to influence per-device playback rules, encoder strategy, and ROI cases for NPU-accelerated or AI codecs.
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