[
  {
    "50.00 percentile latency (ns)": 1945688,
    "90.00 percentile latency (ns)": 2253701,
    "90th percentile latency (ns)": 2253701,
    "95.00 percentile latency (ns)": 4691602,
    "97.00 percentile latency (ns)": 11531813,
    "99.00 percentile latency (ns)": 16070320,
    "99.90 percentile latency (ns)": 18073641,
    "Max latency (ns)": 100457179,
    "Mean latency (ns)": 2506984,
    "Min duration satisfied": "Yes",
    "Min latency (ns)": 1846323,
    "Min queries satisfied": "Yes",
    "Mode": "Performance",
    "QPS w/ loadgen overhead": 395.26,
    "QPS w/o loadgen overhead": 398.89,
    "Result is": "VALID",
    "SUT name": "PySUT",
    "Scenario": "singlestream",
    "accelerator_frequency": "",
    "accelerator_host_interconnect": "",
    "accelerator_interconnect": "",
    "accelerator_interconnect_topology": "",
    "accelerator_memory_capacity": "Shared with host",
    "accelerator_memory_configuration": "SRAM",
    "accelerator_model_name": "NVIDIA Xavier",
    "accelerator_on-chip_memories": "1MB (128KB/SM) L1 + 512KB L2 + 4MB (DLA)",
    "accelerators_per_node": 1,
    "accuracy_log_probability": 0,
    "accuracy_log_rng_seed": 0,
    "accuracy_log_sampling_target": 0,
    "characteristics.90th_percentile_latency_ms": 2.253701,
    "characteristics.90th_percentile_latency_ns": 2253701.0,
    "characteristics.90th_percentile_latency_s": 0.002253701,
    "characteristics.90th_percentile_latency_us": 2253.701,
    "characteristics.mAP": 22.931,
    "ck_system": "xavier-tensorrt-v6.0",
    "ck_used": true,
    "cooling": "",
    "dataset": "COCO 2017 (300x300)",
    "dataset_link": "https://github.com/ctuning/ck/blob/master/docs/mlperf-automation/datasets/coco2017.md",
    "dim_x_default": "characteristics.90th_percentile_latency_ms",
    "dim_y_default": "characteristics.mAP",
    "dim_y_maximize": true,
    "division": "closed",
    "formal_model": "ssd-mobilenet",
    "formal_model_accuracy": 99.0,
    "formal_model_link": "https://github.com/octoml/mlops/tree/main/package, https://github.com/ctuning/ai/tree/main/package",
    "framework": "TensorRT v6.0",
    "host_memory_capacity": "32 GB",
    "host_memory_configuration": "",
    "host_networking": "",
    "host_networking_topology": "",
    "host_processor_caches": "8MB L2 (2MB per dual cluster)/4 MB L3 (shared)",
    "host_processor_core_count": 8,
    "host_processor_frequency": "2265.6 MHz",
    "host_processor_interconnect": "",
    "host_processor_model_name": "NVIDIA Carmel (ARMv8.2)",
    "host_processors_per_node": 1,
    "host_storage_capacity": "400 GB",
    "host_storage_type": "SanDisk Extreme microSD",
    "hw_notes": "DLAs are not used in the Offline and MultiStream scenarios (GPU only)",
    "informal_model": "ssd-mobilenet",
    "input_data_types": "int8",
    "key.accuracy": "characteristics.mAP",
    "max_async_queries": 1,
    "max_duration (ms)": 0,
    "max_query_count": 0,
    "min_duration (ms)": 60000,
    "min_query_count": 1024,
    "mlperf_version": "v0.7",
    "normalize_cores": 1,
    "normalize_processors": 1,
    "note_code": "https://github.com/mlcommons/inference_results_v0.7/tree/master/closed/dividiti/code",
    "note_details": "https://github.com/mlcommons/inference_results_v0.7/tree/master/closed/dividiti/results/xavier-tensorrt-v6.0",
    "number_of_nodes": 1,
    "operating_system": "Ubuntu 18.04.5",
    "other_software_stack": "PyCUDA 2019.1.2",
    "performance_issue_same": true,
    "performance_issue_same_index": 0,
    "performance_issue_unique": true,
    "performance_sample_count": 256,
    "print_timestamps": true,
    "problem": false,
    "qsl_rng_seed": 12786827339337101903,
    "retraining": "no",
    "sample_index_rng_seed": 12640797754436136668,
    "samples_per_query": 1,
    "schedule_rng_seed": 3135815929913719677,
    "starting_weights_filename": "https://zenodo.org/record/3716059/files/ssd-small-SingleStream-gpu-b1-int8-linear.plan",
    "status": "available",
    "submitter": "dividiti",
    "submitter_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.submitter/dividiti",
    "sw_notes": "Powered by Collective Knowledge v1.15.0",
    "system_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.system/xavier-tensorrt-v6.0",
    "system_name": "NVIDIA Jetson AGX Xavier",
    "system_type": "edge",
    "target_latency (ns)": 0,
    "target_qps": 1000,
    "task": "object detection",
    "task2": "object detection",
    "total_cores": 8,
    "uid": "154a274559b4ceef",
    "use_accelerator": true,
    "weight_data_types": "int8",
    "weight_transformations": "TF -> TensorRT"
  }
]