See Detailed Benchmarks

Create an account in DevStudio to gain access to a full table of benchmark data. 

Over 150 fully curated models with validated accuracy. See all the source and intermediate code for each benchmark. 

No tricks, no substitutions. Just full end-to-end graphs!

Replace your Legacy NPU

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.

Transformers Broke Your Legacy NPU Accelerator

Resnets - Circa 2018-2020 SOTA

Transformers - 2023 SOTA

Try DevStudio now

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