Table 1 Various resource metrics for model training.

From: Reciprocal cooperative gating fusion of SqueezeNet and ShuffleNetV2 for breast cancer detection in histopathology images

Metric

Value

Total Parameter Count

19.3 Million

Model Size

69.75 MB

Total MACs

2.8 G

Total FLOPs

4.16 G

Average Latency Time

12.02 ms

Throughput (images/s)

260.88

CPU Memory Usage

1155.02 MB

GPU Memory Usage

2483.97 MB

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