Table 7 Comparison of memory with other recent state-of-the-art models.

From: A fine tuned EfficientNet-B0 convolutional neural network for accurate and efficient classification of apple leaf diseases

Model

Number of parameters

Memory (MB)

#FLOPs

(Millions)

EfficientNet-B0

4,099,530

15.64 MB

8.18 M

EfficientNet-B3

10,843,478

41.36 MB

21.71 M

Inception-v3

21,882,695

83.48 MB

43.73 M

ResNet-50

23,667,623

90.28 MB

47.25 M

VGG16

14,734,695

56.21 MB

29.43 M

Fine-tuned EfficientNet-B0

4,392,650

16.76 MB

8.85 M

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