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Thank you for your interest.
Yes, these numbers were obtained with a similar implementation, with default hyperparameters from DomainBed and - most importantly - with the default architecture, a ResNet-50. In this case, the overhead (in the last layer) is relatively very cheap compared to the computation in the features extractor - in memory and time with a GPU. In your case, your relatively-larger overhead is certainly due to your smaller architecture - and perhaps also a little by your larger batch size (64 rather than 32 in my computation). I hope this answer helps you.
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Thank you for taking the time to respond. That provides me with some more certainty that I'm doing the right thing here! Much appreciated.
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