diff --git a/src/pytorch_lightning/CHANGELOG.md b/src/pytorch_lightning/CHANGELOG.md
index 3739bfcc42405..6085c026f9553 100644
--- a/src/pytorch_lightning/CHANGELOG.md
+++ b/src/pytorch_lightning/CHANGELOG.md
@@ -222,6 +222,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Removed the deprecated `Trainer.use_amp` and `LightningModule.use_amp` attributes ([#14832](https://github.com/Lightning-AI/lightning/pull/14832))
 
 
+- Removed the deprecated `SimpleProfiler.profile_iterable` and `AdvancedProfiler.profile_iterable` attributes ([#14864](https://github.com/Lightning-AI/lightning/pull/14864))
+
+
 ### Fixed
 
 - Fixed an issue with `LightningLite.setup()` not setting the `.device` attribute correctly on the returned wrapper ([#14822](https://github.com/Lightning-AI/lightning/pull/14822))
diff --git a/src/pytorch_lightning/profilers/profiler.py b/src/pytorch_lightning/profilers/profiler.py
index 1dc91efc83bb1..55e5b4d2acc67 100644
--- a/src/pytorch_lightning/profilers/profiler.py
+++ b/src/pytorch_lightning/profilers/profiler.py
@@ -17,10 +17,9 @@
 from abc import ABC, abstractmethod
 from contextlib import contextmanager
 from pathlib import Path
-from typing import Any, Callable, Dict, Generator, Iterable, Optional, TextIO, Union
+from typing import Any, Callable, Dict, Generator, Optional, TextIO, Union
 
 from lightning_lite.utilities.cloud_io import get_filesystem
-from pytorch_lightning.utilities.rank_zero import rank_zero_deprecation
 
 log = logging.getLogger(__name__)
 
@@ -70,28 +69,6 @@ def profile(self, action_name: str) -> Generator:
         finally:
             self.stop(action_name)
 
-    def profile_iterable(self, iterable: Iterable, action_name: str) -> Generator:
-        """Profiles over each value of an iterable.
-
-        See deprecation message below.
-
-        .. deprecated:: v1.6
-            `Profiler.profile_iterable` is deprecated in v1.6 and will be removed in v1.8.
-        """
-        rank_zero_deprecation(
-            f"`{self.__class__.__name__}.profile_iterable` is deprecated in v1.6 and will be removed in v1.8."
-        )
-        iterator = iter(iterable)
-        while True:
-            try:
-                self.start(action_name)
-                value = next(iterator)
-                self.stop(action_name)
-                yield value
-            except StopIteration:
-                self.stop(action_name)
-                break
-
     def _rank_zero_info(self, *args: Any, **kwargs: Any) -> None:
         if self._local_rank in (None, 0):
             log.info(*args, **kwargs)
diff --git a/tests/tests_pytorch/deprecated_api/test_remove_1-8.py b/tests/tests_pytorch/deprecated_api/test_remove_1-8.py
index 7946dadaa9398..a7ba047b05c7f 100644
--- a/tests/tests_pytorch/deprecated_api/test_remove_1-8.py
+++ b/tests/tests_pytorch/deprecated_api/test_remove_1-8.py
@@ -12,17 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Test deprecated functionality which will be removed in v1.8.0."""
-import time
 from unittest import mock
 from unittest.mock import Mock
 
-import numpy as np
 import pytest
 
 from pytorch_lightning import Callback, Trainer
 from pytorch_lightning.callbacks import ModelCheckpoint
 from pytorch_lightning.demos.boring_classes import BoringDataModule, BoringModel
-from pytorch_lightning.profilers import AdvancedProfiler, SimpleProfiler
 from pytorch_lightning.strategies.ipu import LightningIPUModule
 from pytorch_lightning.trainer.configuration_validator import _check_datamodule_checkpoint_hooks
 from pytorch_lightning.trainer.states import RunningStage
@@ -323,48 +320,6 @@ def on_pretrain_routine_end(self, trainer, pl_module):
         trainer.fit(model)
 
 
-@pytest.mark.flaky(reruns=3)
-@pytest.mark.parametrize(["action", "expected"], [("a", [3, 1]), ("b", [2]), ("c", [1])])
-def test_simple_profiler_iterable_durations(tmpdir, action: str, expected: list):
-    """Ensure the reported durations are reasonably accurate."""
-
-    def _sleep_generator(durations):
-        """the profile_iterable method needs an iterable in which we can ensure that we're properly timing how long
-        it takes to call __next__"""
-        for duration in durations:
-            time.sleep(duration)
-            yield duration
-
-    def _get_python_cprofile_total_duration(profile):
-        return sum(x.inlinetime for x in profile.getstats())
-
-    simple_profiler = SimpleProfiler()
-    iterable = _sleep_generator(expected)
-
-    with pytest.deprecated_call(
-        match="`SimpleProfiler.profile_iterable` is deprecated in v1.6 and will be removed in v1.8."
-    ):
-        for _ in simple_profiler.profile_iterable(iterable, action):
-            pass
-
-    # we exclude the last item in the recorded durations since that's when StopIteration is raised
-    np.testing.assert_allclose(simple_profiler.recorded_durations[action][:-1], expected, rtol=0.2)
-
-    advanced_profiler = AdvancedProfiler(dirpath=tmpdir, filename="profiler")
-
-    iterable = _sleep_generator(expected)
-
-    with pytest.deprecated_call(
-        match="`AdvancedProfiler.profile_iterable` is deprecated in v1.6 and will be removed in v1.8."
-    ):
-        for _ in advanced_profiler.profile_iterable(iterable, action):
-            pass
-
-    recorded_total_duration = _get_python_cprofile_total_duration(advanced_profiler.profiled_actions[action])
-    expected_total_duration = np.sum(expected)
-    np.testing.assert_allclose(recorded_total_duration, expected_total_duration, rtol=0.2)
-
-
 def test_v1_8_0_datamodule_checkpointhooks():
     class CustomBoringDataModuleSave(BoringDataModule):
         def on_save_checkpoint(self, checkpoint):