Footnotes
1. Based on the mimik whitepaper “Architectural Fit for Production-Scale Agentic AI on Heterogeneous SoCs” commissioned by AMD, published by mimik on July 23, 2026, based on a modeled sweep of 455 feasible agentic AI workflows across two device classes (X100, NVIDIA Jetson T5000), checking spare CPU, GPU, and memory. For more information see: https://www.mimik.com/agentix-compute-benchmarking (REX-019)
3. Based on the OpenNav Robotics Workload Benchmark commissioned by AMD, published by Open Navigation LLC on July 23, 2026, as measured on the GMKtec EVO-X2 AI Mini PC AMD Ryzen AI Max+ 395 configured to reflect Ryzen AI Embedded X199 specifications (5.1 GHz CPU, 2.9 GHz GPU, 120W TDP, LPDDR5X-7500), vs. the NVIDIA Jetson AGX Thor Developer Kit: https://opennav.org/news/opennav-robotics-workload-benchmark (REX-018) 4. Based on the OpenNav Robotics Workload Benchmark commissioned by AMD, published by Open Navigation LLC on July 23, 2026, as measured on the GMKtec EVO-X2 AI Mini PC AMD Ryzen AI Max+ 395 configured to reflect Ryzen AI Embedded X199 specifications (5.1 GHz CPU, 2.9 GHz GPU, 120W TDP, LPDDR5X-7500), vs. the NVIDIA Jetson AGX Thor Developer Kit: https://opennav.org/news/opennav-robotics-workload-benchmark (REX-016).
