Syntiant Core 2 Achieves Outstanding Results in Latest MLPerf Tiny v1.1 Benchmark Suite


Image Recognition

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“Just as in earlier versions of the benchmark for keyword spotting, the Syntiant Core 2 again achieved energy consumption orders of magnitude lower than other devices for the vision oriented tasks. The architecture outperformed the nearest submitter in energy performance 20X and 25X, respectively. It also achieves 16 ms latency and 101.8 uJ at 30.7MHz, more than 35X the nearest submission. About the Syntiant Core 2The Syntiant Core 2 is a highly flexible, ultra-low-power deep neural network inference engine with a highly configurable front-end interface embedded in the company’s second-generation Neural Decision Processors, such as the NDP200, NDP120 and NDP115. The MLPerf benchmarks are full system tests that stress machine learning models, software and hardware and optionally measure power usage.