diff --git a/src/finn/custom_op/fpgadataflow/fmpadding_batch.py b/src/finn/custom_op/fpgadataflow/fmpadding_batch.py
index d326ae7dfc7830a0081c3b13233d67ef08b12eff..c25975d0c3974a68a8e6ce0502d294406f76cd72 100644
--- a/src/finn/custom_op/fpgadataflow/fmpadding_batch.py
+++ b/src/finn/custom_op/fpgadataflow/fmpadding_batch.py
@@ -42,6 +42,14 @@ class FMPadding_Batch(HLSCustomOp):
         pad = self.get_nodeattr("Padding")
         return idim + pad
 
+    def get_exp_cycles(self):
+        odim = self.get_padded_odim()
+        channels = self.get_nodeattr("NumChannels")
+        simd = self.get_nodeattr("SIMD")
+        batch_size = self.get_nodeattr("numInputVectors")
+        exp_cycles = channels / simd * batch_size * odim * odim
+        return exp_cycles
+
     def get_normal_input_shape(self):
         idim = self.get_nodeattr("ImgDim")
         num_ch = self.get_nodeattr("NumChannels")
diff --git a/src/finn/custom_op/fpgadataflow/pool_batch.py b/src/finn/custom_op/fpgadataflow/pool_batch.py
index 801a634fdba1cd5e16c7c211175c1e7380bf0070..d5efe3e81880fad31ba6ecb0abe1ef66e09aaa16 100644
--- a/src/finn/custom_op/fpgadataflow/pool_batch.py
+++ b/src/finn/custom_op/fpgadataflow/pool_batch.py
@@ -136,6 +136,10 @@ class Pool_Batch(HLSCustomOp):
         folded_oshape = self.get_folded_output_shape()
         return np.prod(folded_oshape[1:-1])
 
+    def get_exp_cycles(self):
+        # Channels/PE * batch size * odim * odim
+        return np.prod(self.get_folded_output_shape()[:-1])
+
     def get_instream_width(self):
         dt_bits = self.get_input_datatype().bitwidth()
         pe = self.get_nodeattr("PE")