[
  {
    "accelerator": "NVIDIA Xavier",
    "accelerator_no": 1,
    "code": "https://github.com/mlperf/inference_results_v0.5/tree/master/closed/NVIDIA/code",
    "details": "https://github.com/mlperf/inference_results_v0.5/blob/master/closed/NVIDIA/systems/Xavier.json",
    "ff_d": "",
    "ff_e": "x",
    "ff_m": "",
    "ff_s": "",
    "id": "Inf-0.5-25",
    "notes": "GPU and both DLAs are used in Offline and MultiStream scenarios",
    "p_ic1_ms": 302,
    "p_ic1_o": 6520.75,
    "p_ic1_s": "",
    "p_ic1_ss": 0.585,
    "p_ic2_ms": 100,
    "p_ic2_o": 2158.93,
    "p_ic2_s": "",
    "p_ic2_ss": 2.038,
    "p_nmt_ms": "",
    "p_nmt_o": "",
    "p_nmt_s": "",
    "p_nmt_ss": "",
    "p_od1_ms": 102,
    "p_od1_o": 2485.77,
    "p_od1_s": "",
    "p_od1_ss": 1.501,
    "p_od2_ms": 2,
    "p_od2_o": 49.5,
    "p_od2_s": "",
    "p_od2_ss": 29.429,
    "processor": "NVIDIA Carmel (ARMv8.2)",
    "processor_no": 1,
    "seq_number": 28,
    "software": "TensorRT 6.0, Jetpack 4.3-DP, CUDA 10.0, cuDNN 7.6.3",
    "submitter": "NVIDIA",
    "system": "NVIDIA Jetson AGX Xavier (Xavier)"
  }
]