diff --git a/src/pydvl/influence/array.py b/src/pydvl/influence/array.py
index a82b380b8..d549eee9d 100644
--- a/src/pydvl/influence/array.py
+++ b/src/pydvl/influence/array.py
@@ -7,6 +7,7 @@
 using the Zarr library.
 """
 
+import logging
 from abc import ABC, abstractmethod
 from typing import Callable, Generator, Generic, List, Optional, Tuple, Union
 
@@ -14,6 +15,7 @@
 from numpy.typing import NDArray
 from zarr.storage import StoreLike
 
+from ..utils import log_duration
 from .base_influence_function_model import TensorType
 
 
@@ -119,6 +121,7 @@ def __init__(
     ):
         self.generator_factory = generator_factory
 
+    @log_duration(log_level=logging.INFO)
     def compute(self, aggregator: Optional[SequenceAggregator] = None):
         """
         Computes and optionally aggregates the chunks of the array using the provided
@@ -139,6 +142,7 @@ def compute(self, aggregator: Optional[SequenceAggregator] = None):
             aggregator = ListAggregator()
         return aggregator(self.generator_factory())
 
+    @log_duration(log_level=logging.INFO)
     def to_zarr(
         self,
         path_or_url: Union[str, StoreLike],
@@ -223,6 +227,7 @@ def __init__(
     ):
         self.generator_factory = generator_factory
 
+    @log_duration(log_level=logging.INFO)
     def compute(self, aggregator: Optional[NestedSequenceAggregator] = None):
         """
         Computes and optionally aggregates the chunks of the array using the provided
@@ -244,6 +249,7 @@ def compute(self, aggregator: Optional[NestedSequenceAggregator] = None):
             aggregator = NestedListAggregator()
         return aggregator(self.generator_factory())
 
+    @log_duration(log_level=logging.INFO)
     def to_zarr(
         self,
         path_or_url: Union[str, StoreLike],