[
  {
    "50.00 percentile latency (ns)": 238684,
    "90.00 percentile latency (ns)": 243057,
    "90th percentile latency (ns)": 243057,
    "95.00 percentile latency (ns)": 256361,
    "97.00 percentile latency (ns)": 258639,
    "99.00 percentile latency (ns)": 281559,
    "99.90 percentile latency (ns)": 320839,
    "Max latency (ns)": 1432576,
    "Mean latency (ns)": 239360,
    "Min duration satisfied": "Yes",
    "Min latency (ns)": 190928,
    "Min queries satisfied": "Yes",
    "Mode": "Submission",
    "QPS w/ loadgen overhead": 4108.27,
    "QPS w/o loadgen overhead": 4177.81,
    "Result is": "VALID",
    "SUT name": "HABANA_Runner\u0000",
    "Scenario": "singlestream",
    "accelerator_frequency": "-",
    "accelerator_host_interconnect": "-",
    "accelerator_interconnect": "-",
    "accelerator_interconnect_topology": "-",
    "accelerator_memory_capacity": "16GB",
    "accelerator_memory_configuration": "none",
    "accelerator_model_name": "Goya",
    "accelerator_on-chip_memories": "-",
    "accelerators_per_node": 1,
    "accuracy_log_probability": 0,
    "accuracy_log_rng_seed": 0,
    "characteristics.90th_percentile_latency_ms": 0.243057,
    "characteristics.90th_percentile_latency_ns": 243057.0,
    "characteristics.90th_percentile_latency_s": 0.000243057,
    "characteristics.90th_percentile_latency_us": 243.057,
    "characteristics.accuracy": 76.108,
    "characteristics.good": 38054,
    "characteristics.total": 50000,
    "ck_system": "Goya_1",
    "ck_used": true,
    "dataset": "ImageNet 2012",
    "dataset_link": "https://github.com/ctuning/ck/blob/master/docs/mlperf-automation/datasets/imagenet2012.md",
    "dim_x_default": "characteristics.90th_percentile_latency_ms",
    "dim_y_default": "characteristics.accuracy",
    "dim_y_maximize": true,
    "division": "closed",
    "formal_model": "resnet50-v1.5",
    "formal_model_accuracy": 99.0,
    "formal_model_link": "https://github.com/mlcommons/ck-mlops/tree/main/package",
    "framework": "Synapse-V0.2.0",
    "host_memory_capacity": "64GB",
    "host_processor_core_count": 120,
    "host_processor_frequency": "2.20GHz",
    "host_processor_model_name": "AMD EPYC 7V13 64-Core Processor",
    "host_processors_per_node": 2,
    "host_storage_capacity": "1TB",
    "host_storage_type": "SSD",
    "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": 256000,
    "mlperf_version": 0.5,
    "normalize_cores": 1,
    "normalize_processors": 1,
    "note_code": "https://github.com/mlcommons/inference_results_v0.5/tree/master/closed/Habana/code",
    "note_details": "https://github.com/mlcommons/inference_results_v0.5/tree/master/closed/Habana/results/Goya_1",
    "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": "Synapse-V0.2.0; 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": "No",
    "sample_index_rng_seed": 665484352860916858,
    "samples_per_query": 1,
    "schedule_rng_seed": 3622009729038561421,
    "starting_weights_filename": "onnx-model from zenado",
    "status": "available",
    "submitter": "Habana",
    "submitter_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.submitter/Habana",
    "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/Goya_1",
    "system_name": "Microsoft Corporation 7.0 (Virtual Machine)",
    "target_latency (ns)": 0,
    "target_qps": 100,
    "task": "image classification",
    "task2": "image classification",
    "total_cores": 240,
    "uid": "a3eaa3fdde84e06a",
    "use_accelerator": true,
    "weight_data_types": "INT8",
    "weight_transformations": "Asymmetric Quantization"
  }
]