[ { "50.00 percentile latency (ns)": 1362641, "90.00 percentile latency (ns)": 1402307, "90th percentile latency (ns)": 1402307, "95.00 percentile latency (ns)": 1411446, "97.00 percentile latency (ns)": 1417945, "99.00 percentile latency (ns)": 1494060, "99.90 percentile latency (ns)": 1733365, "Max latency (ns)": 2200848, "Mean latency (ns)": 1365574, "Min duration satisfied": "Yes", "Min latency (ns)": 1279686, "Min queries satisfied": "Yes", "Mode": "Performance", "QPS w/ loadgen overhead": 731.18, "QPS w/o loadgen overhead": 732.29, "Result is": "VALID", "SUT name": "SUT\u0000", "Scenario": "singlestream", "accelerator_frequency": "", "accelerator_host_interconnect": "", "accelerator_interconnect": "", "accelerator_interconnect_topology": "", "accelerator_memory_capacity": "N/A", "accelerator_memory_configuration": "", "accelerator_model_name": "N/A", "accelerator_on-chip_memories": "", "accelerators_per_node": 0, "accuracy_log_probability": 0, "accuracy_log_rng_seed": 0, "characteristics.90th_percentile_latency_ms": 1.402307, "characteristics.90th_percentile_latency_ns": 1402307.0, "characteristics.90th_percentile_latency_s": 0.001402307, "characteristics.90th_percentile_latency_us": 1402.307, "characteristics.mAP": 22.627, "ck_system": "clx_9282-2s_openvino-linux", "ck_used": false, "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": "OpenVino", "host_memory_capacity": "768GB", "host_memory_configuration": "", "host_networking": "", "host_networking_topology": "", "host_processor_caches": "", "host_processor_core_count": 56, "host_processor_frequency": "", "host_processor_interconnect": "", "host_processor_model_name": "Intel(R) Xeon(R) Platinum 9282 CPU @ 2.60GHz", "host_processors_per_node": 2, "host_storage_capacity": "422G", "host_storage_type": "SSD", "hw_notes": "", "informal_model": "ssd-small", "input_data_types": "We transform the fp32 input data to int8 data.", "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": "v0.5", "normalize_cores": 112, "normalize_processors": 2, "note_code": "https://github.com/mlcommons/inference_results_v0.5/tree/master/closed/Intel/code", "note_details": "https://github.com/mlcommons/inference_results_v0.5/tree/master/closed/Intel/results/clx_9282-2s_openvino-linux", "number_of_nodes": 1, "operating_system": "Ubuntu 18.04.3 LTS", "other_software_stack": "MKL (2019.4.243)", "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": 3133965575612453542, "retraining": "We don’t retrain the model weight.", "sample_index_rng_seed": 665484352860916858, "samples_per_query": 1, "schedule_rng_seed": 3622009729038561421, "starting_weights_filename": "The original weight filename: https://zenodo.org/record/3401714/files/ssd_mobilenet_v1_quant_ft_no_zero_point_frozen_inference_graph.pb and the transformed int8 weight named init_net_int8_euler.pb", "status": "available", "submitter": "Intel", "submitter_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.submitter/Intel", "sw_notes": "", "system_link": "https://github.com/ctuning/ck-mlperf-inference/tree/main/bench.mlperf.system/clx_9282-2s_openvino-linux", "system_name": "CLX-9282-2S", "target_latency (ns)": 0, "target_qps": 1000, "task": "object detection", "task2": "object detection", "total_cores": 112, "uid": "e12c69ffa51486ab", "use_accelerator": false, "weight_data_types": "We transform the original fp32 weight to int8 weight.", "weight_transformations": "We transform the weight from fp32 datatype in onnx file to int8 datatype in pb file." } ]