I don't know GPU is used or not?

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If something doesn’t work for you, then show 2 screenshots:

1. screenshots of your issue
2. screenshots with such information

   
   ./darknet detector test cfg/coco.data cfg/yolov4.cfg yolov4.weights data/dog.jpg
   CUDA-version: 10000 (10000), cuDNN: 7.4.2, CUDNN_HALF=1, GPU count: 1
   CUDNN_HALF=1
   OpenCV version: 4.2.0
   0 : compute_capability = 750, cudnn_half = 1, GPU: GeForce RTX 2070
   net.optimized_memory = 0
   mini_batch = 1, batch = 8, time_steps = 1, train = 0
   layer   filters  size/strd(dil)      input                output
   0 conv     32       3 x 3/ 1    608 x 608 x   3 ->  608 x 608 x  32 0.639 BF

.....

161 yolo [yolo] params: iou loss: ciou (4), iou_norm: 0.07, cls_norm: 1.00, scale_x_y: 1.05 nms_kind: greedynms (1), beta = 0.600000 Total BFLOPS 128.459 avg_outputs = 1068395 Allocate additional workspace_size = 52.43 MB Loading weights from yolov4.weights... seen 64, trained: 32032 K-images (500 Kilo-batches_64) Done! Loaded 162 layers from weights-file data\dog.jpg: Predicted in 59.231000 milli-seconds. bicycle: 91% dog: 98% truck: 92% pottedplant: 32%

If you do not get an answer for a long time, try to find the answer among Issues with a Solved label: https://github.com/AlexeyAB/darknet/issues?q=is%3Aopen+is%3Aissue+label%3ASolved

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