See all DNN Benchmarks

Create an account in DevStudio to gain access to a full table of benchmark data. Or create your own signal chain and profile it for performance.


Most legacy NPU accelerators were highly optimized for the ResNet structures that were state-of-the-art five years ago. Transformers for vision and LLM applications are vastly different in network topology and building block operators. If your legacy NPU cannot handle vision transformer or LLM networks it's time to switch to Quadric Chimera GPNPUs. Chimera GPNPUs can run any network and support any ML graph operator - even today's newest Transformers.

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