| Test | Input | Latency (mean) | Throughput | Power Consumption | |------|-------|----------------|------------|-------------------| | | 30 fps video | 9 ms/inference | 30 fps | 6.8 W | | Audio keyword spotting (TensorFlow‑Lite) | 16 kHz stream | 2 ms | 1 kHz | 2.1 W | | CAN‑FD packet aggregation | 500 msg/s | 0.4 ms | 500 msg/s | 1.3 W (idle) | | LTE‑Cat‑M uplink (compressed telemetry) | 1 KB packet | 150 ms (network) | 6 pkt/min | 4.5 W |
: The video is often cited for its slow-burn narrative, allowing the "acting" portions to build tension before the climax. juy-952
Please provide more details, and I'll do my best to create a well-written and informative article for you. | Test | Input | Latency (mean) |
| Test | Input | Latency (mean) | Throughput | Power Consumption | |------|-------|----------------|------------|-------------------| | | 30 fps video | 9 ms/inference | 30 fps | 6.8 W | | Audio keyword spotting (TensorFlow‑Lite) | 16 kHz stream | 2 ms | 1 kHz | 2.1 W | | CAN‑FD packet aggregation | 500 msg/s | 0.4 ms | 500 msg/s | 1.3 W (idle) | | LTE‑Cat‑M uplink (compressed telemetry) | 1 KB packet | 150 ms (network) | 6 pkt/min | 4.5 W |
: The video is often cited for its slow-burn narrative, allowing the "acting" portions to build tension before the climax.
Please provide more details, and I'll do my best to create a well-written and informative article for you.