The single hardest metric I rely on is sustained performance per watt under a realistic, mixed workload, not peak TOPS. Specifically, I look for whether the silicon can hold [?]70-80 percent of its advertised NPU TOPS/Watt for 10-15 minutes while running concurrent tasks that mirror real edge use: vision inference plus a small language model, with background CPU and GPU activity. The buy signal shows up when vendors can demonstrate this live without thermal throttling and with transparent counters on power draw and NPU utilization. In private briefings, a reliable tell is when they willingly expose NPU-memory bandwidth and contention behavior—for example, showing how performance degrades (or doesn't) when system memory is stressed by other processes. When a booth demo includes sustained telemetry, not just burst numbers or pre-recorded traces, and the team can explain where the bottlenecks are, that's when I treat the silicon as design-in ready rather than CES hype.
For me, the cleanest separator is sustained TOPS per watt under a real, mixed workload, not a burst demo that runs for 20 seconds and resets. If a vendor can keep performance flat while thermals settle and power stays honest, that tells me the silicon is actually ready for an OEM chassis. At booths or briefings, I look closely at how the NPU talks to memory, especially whether latency spikes once multiple models run in parallel. When that pipeline holds up without hand waving or hidden offload to the cloud, that's usually a genuine buy signal rather than CES theatre.
One hard metric I rely on is sustained performance under load, not peak numbers. At CES booths, I pay attention to whether vendors can maintain stable throughput over several minutes using realistic workloads. A reliable buy signal for me has been consistent performance per watt during extended tests, especially when memory bandwidth is constrained. In private briefings, vendors who openly shared thermal limits and throttling behavior earned more trust. Flashy demos fade fast. Readiness shows up when silicon performs predictably outside ideal conditions and engineers can explain tradeoffs clearly without deflection.