I categorize this as an exploration of how to benchmark desktop/workstation NPUs [1] similar to the exploration Daniel Lemire started with SIMD. Mobile SoC NPUs are used to deploy inference models on smartphones and IoT devices while discreet NPUs like Nvidia A100/V100 target cloud clusters.
We don’t have apples-to-apples benchmarks like SPECint/SPECfp for the SoC accelerators in the M1 (GPU, NPU, etc.) so these early attempts are both facile and critical as we try to categorize and compare the trade-offs between the SoC/discreet and performance/perf-per-watt options available.
Power efficient SoC for desktops is new and we are learning as we go.
We don’t have apples-to-apples benchmarks like SPECint/SPECfp for the SoC accelerators in the M1 (GPU, NPU, etc.) so these early attempts are both facile and critical as we try to categorize and compare the trade-offs between the SoC/discreet and performance/perf-per-watt options available.
Power efficient SoC for desktops is new and we are learning as we go.
[1] https://en.m.wikipedia.org/wiki/AI_accelerator