{
  "date": "2026-09-29",
  "gpu": "NVIDIA GeForce RTX 5080",
  "platform": "Windows x64",
  "accelerator_used": "dlcvpro_deploy-2026.9.28.1",
  "csharp_program": "dlcvpro_infer_csharp-2026.9.29.0",
  "inference_runtime": "dlcvpro_infer-2026.9.28.0a0",
  "measurement": "同组使用同一张已读入内存的图片，按 batch_size 重复组批；记录 C# 测试程序的实时速率和平均延迟，模型大小使用 MB。",
  "variants": [
    {
      "case": "cls-b1",
      "model": "猫狗分类_batch1.dvt",
      "batch_size": 1,
      "threads": 1,
      "deployment": {
        "backend": "tensorrt",
        "use_batch": false,
        "use_dynamic_shape": false,
        "use_fp16": true,
        "use_plus_mode": false,
        "calc_mean": false,
        "min_shape": [
          1,
          3,
          224,
          224
        ],
        "opt_shape": [
          1,
          3,
          224,
          224
        ],
        "max_shape": [
          1,
          3,
          224,
          224
        ]
      },
      "input_image": "cat.jpg",
      "input_size": [
        224,
        224
      ],
      "real_time_images_per_s": 1444.11,
      "average_latency_ms": 0.81,
      "model_mb": 23.98
    },
    {
      "case": "cls-b32",
      "model": "猫狗分类_batch128.dvt",
      "batch_size": 32,
      "threads": 1,
      "deployment": {
        "backend": "tensorrt",
        "use_batch": true,
        "use_dynamic_shape": false,
        "use_fp16": true,
        "use_plus_mode": false,
        "calc_mean": false,
        "iou_threshold": 0.2,
        "max_output_boxes_per_class": 100,
        "min_shape": [
          1,
          3,
          224,
          224
        ],
        "opt_shape": [
          128,
          3,
          224,
          224
        ],
        "max_shape": [
          128,
          3,
          224,
          224
        ]
      },
      "input_image": "cat.jpg",
      "input_size": [
        224,
        224
      ],
      "real_time_images_per_s": 9211.77,
      "average_latency_ms": 3.29,
      "model_mb": 24.93
    },
    {
      "case": "seg-b1",
      "model": "气球实例分割_batch1.dvt",
      "batch_size": 1,
      "threads": 1,
      "deployment": {
        "backend": "tensorrt",
        "use_batch": false,
        "use_dynamic_shape": true,
        "use_fp16": true,
        "use_plus_mode": false,
        "calc_mean": false,
        "iou_threshold": 0.2,
        "max_output_boxes_per_class": 100,
        "min_shape": [
          1,
          3,
          160,
          160
        ],
        "opt_shape": [
          1,
          3,
          640,
          640
        ],
        "max_shape": [
          1,
          3,
          640,
          640
        ]
      },
      "input_image": "balloon-1.jpg",
      "input_size": [
        640,
        640
      ],
      "real_time_images_per_s": 203.44,
      "average_latency_ms": 4.87,
      "model_mb": 31.32
    },
    {
      "case": "seg-b4",
      "model": "气球实例分割_batch4.dvt",
      "batch_size": 4,
      "threads": 1,
      "deployment": {
        "backend": "tensorrt",
        "use_batch": true,
        "use_dynamic_shape": true,
        "use_fp16": true,
        "use_plus_mode": false,
        "calc_mean": false,
        "iou_threshold": 0.2,
        "max_output_boxes_per_class": 100,
        "min_shape": [
          1,
          3,
          160,
          160
        ],
        "opt_shape": [
          4,
          3,
          640,
          640
        ],
        "max_shape": [
          4,
          3,
          640,
          640
        ]
      },
      "input_image": "balloon-1.jpg",
      "input_size": [
        640,
        640
      ],
      "real_time_images_per_s": 292.38,
      "average_latency_ms": 13.59,
      "model_mb": 32.12,
      "date": "2026-09-30",
      "inference_runtime": "dlcvpro_infer-2026.9.29.0",
      "resource_check": "测试期间仅本次 C# 测试程序新增 GPU 计算进程。"
    }
  ],
  "balloon_example": {
    "input_images": [
      "balloon-1.jpg",
      "balloon-2.jpg"
    ],
    "max_batch_size": 4,
    "sample_results_count": 2,
    "objects_per_image": [
      1,
      3
    ],
    "input_size": [
      640,
      640
    ]
  },
  "input_images": [
    {
      "file": "cat.jpg",
      "width": 224,
      "height": 224
    },
    {
      "file": "dog.jpg",
      "width": 224,
      "height": 224
    },
    {
      "file": "balloon-1.jpg",
      "width": 640,
      "height": 640
    },
    {
      "file": "balloon-2.jpg",
      "width": 640,
      "height": 640
    }
  ]
}