[
  {
    "50.00 percentile latency (ns)": 30405062527,
    "90.00 percentile latency (ns)": 54670430474,
    "95.00 percentile latency (ns)": 57703607021,
    "97.00 percentile latency (ns)": 58917443943,
    "99.00 percentile latency (ns)": 60130268652,
    "99.90 percentile latency (ns)": 60678543678,
    "Max latency (ns)": 60746395233,
    "Mean latency (ns)": 30402628216,
    "Min duration satisfied": "Yes",
    "Min latency (ns)": 65169360,
    "Min queries satisfied": "Yes",
    "Mode": "Performance",
    "Result is": "VALID",
    "SUT name": "PySUT",
    "Samples per second": 651.891,
    "Scenario": "offline",
    "accelerator_frequency": "-",
    "accelerator_host_interconnect": "-",
    "accelerator_interconnect": "-",
    "accelerator_interconnect_topology": "-",
    "accelerator_memory_capacity": "4GB",
    "accelerator_memory_configuration": "none",
    "accelerator_model_name": "Centaur Integrated AI Coprocessor",
    "accelerator_on-chip_memories": "-",
    "accelerators_per_node": 1,
    "accuracy_log_probability": 0,
    "accuracy_log_rng_seed": 0,
    "characteristics.mAP": 22.864,
    "characteristics.samples_per_second": 651.891,
    "characteristics.samples_per_second.normalized_per_core": 651.891,
    "characteristics.samples_per_second.normalized_per_processor": 651.891,
    "ck_system": "0",
    "ck_used": true,
    "dataset": "COCO 2017 (300x300)",
    "dataset_link": "https://github.com/ctuning/ck/blob/master/docs/mlperf-automation/datasets/coco2017.md",
    "dim_x_default": "characteristics.samples_per_second",
    "dim_x_maximize": true,
    "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/mlcommons/ck-mlops/tree/main/package",
    "framework": "TensorFlow commit f5ce1c00d4397875ff3d706881bd46430f4a9667 and f6fbfe013898dc16bd35ba380387ff02d0275ac3 + custom patches",
    "host_memory_capacity": "32GB",
    "host_processor_core_count": 120,
    "host_processor_frequency": "2.5GHz",
    "host_processor_model_name": "AMD EPYC 7V13 64-Core Processor",
    "host_processors_per_node": 1,
    "host_storage_capacity": "120GB",
    "host_storage_type": "SSD",
    "informal_model": "ssd-small",
    "input_data_types": "uint8",
    "key.accuracy": "characteristics.mAP",
    "max_async_queries": 1,
    "max_duration (ms)": 0,
    "max_query_count": 0,
    "min_duration (ms)": 60000,
    "min_query_count": 1,
    "mlperf_version": 0.5,
    "normalize_cores": 1,
    "normalize_processors": 1,
    "note_code": "https://github.com/mlcommons/inference_results_v0.5/tree/master/closed/CentaurTechnology/code",
    "note_details": "https://github.com/mlcommons/inference_results_v0.5/tree/master/closed/CentaurTechnology/results/0",
    "number_of_nodes": 1,
    "operating_system": "Ubuntu 18.04.5 LTS (Linux-5.4.0-1055-azure-x86_64-with-Ubuntu-18.04-bionic)",
    "other_software_stack": "Centaur ML Library Build 1223 and 1220; GCC 7.5.0; Python 3.7.10",
    "performance_issue_same": true,
    "performance_issue_same_index": 0,
    "performance_issue_unique": true,
    "performance_sample_count": 1024,
    "print_timestamps": true,
    "problem": false,
    "qsl_rng_seed": 3133965575612453542,
    "retraining": "none",
    "sample_index_rng_seed": 665484352860916858,
    "samples_per_query": 39600,
    "schedule_rng_seed": 3622009729038561421,
    "starting_weights_filename": "https://zenodo.org/record/3252084/files/mobilenet_v1_ssd_8bit_finetuned.tar.gz",
    "status": "preview",
    "submitter": "CentaurTechnology",
    "submitter_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.submitter/CentaurTechnology",
    "sw_notes": "The same hardware system is used for all mobilenet, resnet, ssd-small, and gnmt sumbissions, but the software is slightly different for gnmt. Submissions for mobilenet, resnet, and ssd-small use TF commit f5ce1c00d4397875ff3d706881bd46430f4a9667 + custom patches to TF-Lite, Centaur ML Library Build 1223, and host_processor_frequency set to 2.5GHz. Submissions for gnmt use TF commit f6fbfe013898dc16bd35ba380387ff02d0275ac3 + custom patches for compiler/graph matching, Centaur ML Library Build 1220, and host_processor_frequency set at runtime via software to 2.3GHz.Powered by CK v2.5.8 (https://github.com/ctuning/ck)",
    "system_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.system/0",
    "system_name": "Microsoft Corporation 7.0 (Virtual Machine)",
    "target_latency (ns)": 0,
    "target_qps": 600,
    "task": "object detection",
    "task2": "object detection",
    "total_cores": 120,
    "uid": "be481cac95b0644f",
    "use_accelerator": true,
    "weight_data_types": "uint8",
    "weight_transformations": "TF-Lite v1.14"
  }
]