[
  {
    "50.00 percentile": 1,
    "50.00 percentile latency (ns)": 45352834,
    "90.00 percentile": 1,
    "90.00 percentile latency (ns)": 47403108,
    "95.00 percentile": 1,
    "95.00 percentile latency (ns)": 47977666,
    "97.00 percentile": 1,
    "97.00 percentile latency (ns)": 48317207,
    "99.00 percentile": 1,
    "99.00 percentile latency (ns)": 49113087,
    "99.90 percentile": 2,
    "99.90 percentile latency (ns)": 72934305,
    "Max latency (ns)": 923043500,
    "Mean latency (ns)": 45457930,
    "Min duration satisfied": "Yes",
    "Min latency (ns)": 36565346,
    "Min queries satisfied": "Yes",
    "Mode": "Performance",
    "Per-sample latency": "",
    "Performance constraints satisfied": "Yes",
    "Result is": "VALID",
    "SUT name": "PySUT",
    "Samples per query": 58,
    "Scenario": "multistream",
    "accelerator_frequency": "300MHz",
    "accelerator_host_interconnect": "PCIe 3.0 x16",
    "accelerator_interconnect": "-",
    "accelerator_interconnect_topology": "-",
    "accelerator_memory_capacity": "64GB",
    "accelerator_memory_configuration": "DDR4",
    "accelerator_model_name": "Xilinx Alveo U250",
    "accelerator_on-chip_memories": "SRAM 54MB",
    "accelerators_per_node": 1,
    "accuracy_log_probability": 0,
    "accuracy_log_rng_seed": 0,
    "accuracy_log_sampling_target": 0,
    "characteristics.accuracy": 62.266,
    "characteristics.good": 31133,
    "characteristics.samples_per_query": 58,
    "characteristics.samples_per_query.normalized_per_core": 58.0,
    "characteristics.samples_per_query.normalized_per_processor": 58.0,
    "characteristics.total": 50000,
    "ck_system": "1xU250",
    "ck_used": true,
    "cooling": "Passive",
    "dataset": "ImageNet 2012",
    "dataset_link": "https://github.com/ctuning/ck/blob/master/docs/mlperf-automation/datasets/imagenet2012.md",
    "dim_x_default": "characteristics.samples_per_query",
    "dim_y_default": "characteristics.accuracy",
    "dim_y_maximize": true,
    "division": "open",
    "formal_model": "resnet",
    "formal_model_accuracy": 99.0,
    "formal_model_link": "https://github.com/mlcommons/ck-mlops/tree/main/package",
    "framework": "InAccel Keras 2.3.1.2",
    "host_memory_capacity": "334GB",
    "host_memory_configuration": "-",
    "host_networking": "-",
    "host_networking_topology": "-",
    "host_processor_caches": "-",
    "host_processor_core_count": 120,
    "host_processor_frequency": "3.30GHz",
    "host_processor_interconnect": "-",
    "host_processor_model_name": "AMD EPYC 7V13 64-Core Processor",
    "host_processors_per_node": 2,
    "host_storage_capacity": "2TB",
    "host_storage_type": "NFS",
    "hw_notes": "The 'Quantized ResNet50 Dataflow Accelerator' was designed at Xilinx Research Labs.",
    "informal_model": "resnet",
    "input_data_types": "INT8",
    "key.accuracy": "characteristics.accuracy",
    "max_async_queries": 1,
    "max_duration (ms)": 0,
    "max_query_count": 0,
    "min_duration (ms)": 60000,
    "min_query_count": 270336,
    "mlperf_version": 0.7,
    "normalize_cores": 1,
    "normalize_processors": 1,
    "note_code": "https://github.com/mlcommons/inference_results_v0.7/tree/master/open/InAccel/code",
    "note_details": "https://github.com/mlcommons/inference_results_v0.7/tree/master/open/InAccel/results/1xU250",
    "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": "XRT 2.5.309, Xilinx Shell XDMA 201830.2, InAccel 1.8.11, InAccel Coral 1.8; 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": 12786827339337101903,
    "retraining": "No",
    "sample_index_rng_seed": 12640797754436136668,
    "samples_per_query": 58,
    "schedule_rng_seed": 3135815929913719677,
    "starting_weights_filename": "http://bit.ly/2PsHFfE",
    "status": "available",
    "submitter": "InAccel",
    "submitter_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.submitter/InAccel",
    "sw_notes": "-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/1xU250",
    "system_name": "Microsoft Corporation 7.0 (Virtual Machine)",
    "system_type": "datacenter",
    "target_latency (ns)": 50000000,
    "target_qps": 20,
    "task": "image classification",
    "task2": "image classification",
    "total_cores": 240,
    "uid": "6caf13744437c9d7",
    "use_accelerator": true,
    "weight_data_types": "INT8",
    "weight_transformations": "No"
  }
]