diff --git a/README.md b/README.md
index 14b32452..8643e0e3 100644
--- a/README.md
+++ b/README.md
@@ -185,7 +185,8 @@ format you want. Refer to Nvidia's GPU support matrix for more details
 
 ## Benchmark Results
 
-The following was generated by running [our benchmark script](./benchmarks/decoders/generate_readme_data.py) on a lightly loaded 56-core machine.
+The following was generated by running [our benchmark script](./benchmarks/decoders/generate_readme_data.py) on a lightly loaded 22-core machine with an Nvidia A100 with
+5 [NVDEC decoders](https://docs.nvidia.com/video-technologies/video-codec-sdk/12.1/nvdec-application-note/index.html#).
 
 ![benchmark_results](./benchmarks/decoders/benchmark_readme_chart.png)
 
diff --git a/benchmarks/decoders/benchmark_decoders_library.py b/benchmarks/decoders/benchmark_decoders_library.py
index 33d25c63..a5102fd3 100644
--- a/benchmarks/decoders/benchmark_decoders_library.py
+++ b/benchmarks/decoders/benchmark_decoders_library.py
@@ -38,6 +38,14 @@ def __init__(self):
     def get_frames_from_video(self, video_file, pts_list):
         pass
 
+    @abc.abstractmethod
+    def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
+        pass
+
+    @abc.abstractmethod
+    def decode_and_transform(self, video_file, pts_list, height, width, device):
+        pass
+
 
 class DecordAccurate(AbstractDecoder):
     def __init__(self):
@@ -89,8 +97,10 @@ def __init__(self, backend):
         self._backend = backend
         self._print_each_iteration_time = False
         import torchvision  # noqa: F401
+        from torchvision.transforms import v2 as transforms_v2
 
         self.torchvision = torchvision
+        self.transforms_v2 = transforms_v2
 
     def get_frames_from_video(self, video_file, pts_list):
         self.torchvision.set_video_backend(self._backend)
@@ -111,6 +121,20 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
             frames.append(frame["data"].permute(1, 2, 0))
         return frames
 
+    def decode_and_transform(self, video_file, pts_list, height, width, device):
+        self.torchvision.set_video_backend(self._backend)
+        reader = self.torchvision.io.VideoReader(video_file, "video")
+        frames = []
+        for pts in pts_list:
+            reader.seek(pts)
+            frame = next(reader)
+            frames.append(frame["data"].permute(1, 2, 0))
+        frames = [
+            self.transforms_v2.functional.resize(frame.to(device), (height, width))
+            for frame in frames
+        ]
+        return frames
+
 
 class TorchCodecCore(AbstractDecoder):
     def __init__(self, num_threads=None, color_conversion_library=None, device="cpu"):
@@ -239,6 +263,10 @@ def __init__(self, num_ffmpeg_threads=None, device="cpu"):
         )
         self._device = device
 
+        from torchvision.transforms import v2 as transforms_v2
+
+        self.transforms_v2 = transforms_v2
+
     def get_frames_from_video(self, video_file, pts_list):
         decoder = VideoDecoder(
             video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
@@ -258,6 +286,14 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
                 break
         return frames
 
+    def decode_and_transform(self, video_file, pts_list, height, width, device):
+        decoder = VideoDecoder(
+            video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
+        )
+        frames = decoder.get_frames_played_at(pts_list)
+        frames = self.transforms_v2.functional.resize(frames.data, (height, width))
+        return frames
+
 
 @torch.compile(fullgraph=True, backend="eager")
 def compiled_seek_and_next(decoder, pts):
@@ -299,7 +335,9 @@ def __init__(self):
 
         self.torchaudio = torchaudio
 
-        pass
+        from torchvision.transforms import v2 as transforms_v2
+
+        self.transforms_v2 = transforms_v2
 
     def get_frames_from_video(self, video_file, pts_list):
         stream_reader = self.torchaudio.io.StreamReader(src=video_file)
@@ -325,6 +363,21 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
 
         return frames
 
+    def decode_and_transform(self, video_file, pts_list, height, width, device):
+        stream_reader = self.torchaudio.io.StreamReader(src=video_file)
+        stream_reader.add_basic_video_stream(frames_per_chunk=1)
+        frames = []
+        for pts in pts_list:
+            stream_reader.seek(pts)
+            stream_reader.fill_buffer()
+            clip = stream_reader.pop_chunks()
+            frames.append(clip[0][0])
+        frames = [
+            self.transforms_v2.functional.resize(frame.to(device), (height, width))
+            for frame in frames
+        ]
+        return frames
+
 
 def create_torchcodec_decoder_from_file(video_file):
     video_decoder = create_from_file(video_file)
@@ -443,7 +496,7 @@ def plot_data(df_data, plot_path):
 
             # Set the title for the subplot
             base_video = Path(video).name.removesuffix(".mp4")
-            ax.set_title(f"{base_video}\n{vcount} x {vtype}", fontsize=11)
+            ax.set_title(f"{base_video}\n{vtype}", fontsize=11)
 
             # Plot bars with error bars
             ax.barh(
@@ -486,6 +539,14 @@ class BatchParameters:
     batch_size: int
 
 
+@dataclass
+class DataLoaderInspiredWorkloadParameters:
+    batch_parameters: BatchParameters
+    resize_height: int
+    resize_width: int
+    resize_device: str
+
+
 def run_batch_using_threads(
     function,
     *args,
@@ -525,6 +586,7 @@ def run_benchmarks(
     num_sequential_frames_from_start: list[int],
     min_runtime_seconds: float,
     benchmark_video_creation: bool,
+    dataloader_parameters: DataLoaderInspiredWorkloadParameters = None,
     batch_parameters: BatchParameters = None,
 ) -> list[dict[str, str | float | int]]:
     # Ensure that we have the same seed across benchmark runs.
@@ -550,6 +612,39 @@ def run_benchmarks(
         for decoder_name, decoder in decoder_dict.items():
             print(f"video={video_file_path}, decoder={decoder_name}")
 
+            if dataloader_parameters:
+                bp = dataloader_parameters.batch_parameters
+                dataloader_result = benchmark.Timer(
+                    stmt="run_batch_using_threads(decoder.decode_and_transform, video_file, pts_list, height, width, device, batch_parameters=batch_parameters)",
+                    globals={
+                        "video_file": str(video_file_path),
+                        "pts_list": uniform_pts_list,
+                        "decoder": decoder,
+                        "run_batch_using_threads": run_batch_using_threads,
+                        "batch_parameters": dataloader_parameters.batch_parameters,
+                        "height": dataloader_parameters.resize_height,
+                        "width": dataloader_parameters.resize_width,
+                        "device": dataloader_parameters.resize_device,
+                    },
+                    label=f"video={video_file_path} {metadata_label}",
+                    sub_label=decoder_name,
+                    description=f"dataloader[threads={bp.num_threads} batch_size={bp.batch_size}] {num_samples} decode_and_transform()",
+                )
+                results.append(
+                    dataloader_result.blocked_autorange(
+                        min_run_time=min_runtime_seconds
+                    )
+                )
+                df_data.append(
+                    convert_result_to_df_item(
+                        results[-1],
+                        decoder_name,
+                        video_file_path,
+                        num_samples * dataloader_parameters.batch_parameters.batch_size,
+                        f"dataloader[threads={bp.num_threads} batch_size={bp.batch_size}] {num_samples} x decode_and_transform()",
+                    )
+                )
+
             for kind, pts_list in [
                 ("uniform", uniform_pts_list),
                 ("random", random_pts_list),
diff --git a/benchmarks/decoders/benchmark_readme_chart.png b/benchmarks/decoders/benchmark_readme_chart.png
index 28ceabe4..f433f619 100644
Binary files a/benchmarks/decoders/benchmark_readme_chart.png and b/benchmarks/decoders/benchmark_readme_chart.png differ
diff --git a/benchmarks/decoders/benchmark_readme_data.json b/benchmarks/decoders/benchmark_readme_data.json
index 9639d107..7e4354d4 100644
--- a/benchmarks/decoders/benchmark_readme_data.json
+++ b/benchmarks/decoders/benchmark_readme_data.json
@@ -1,225 +1,394 @@
 [
+    {
+        "decoder": "torchcodec",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 3.722043790887239,
+        "fps_p25": 3.722043790887239,
+        "fps_p75": 3.722043790887239,
+        "frame_count": 640,
+        "iqr": 0.0,
+        "median": 171.94854116626084,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
     {
         "decoder": "torchcodec",
         "description": "uniform 10 seek()+next()",
-        "fps_median": 2.888099110308182,
-        "fps_p25": 2.9416150999827617,
-        "fps_p75": 2.8451474402295633,
+        "fps_median": 1.4397872541120416,
+        "fps_p25": 1.451428122051996,
+        "fps_p75": 1.4351890231275515,
         "frame_count": 10,
-        "iqr": 0.1152633186429739,
-        "median": 3.4624850526452065,
+        "iqr": 0.07795738987624645,
+        "median": 6.945470569655299,
         "type": "uniform seek()+next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchcodec",
         "description": "random 10 seek()+next()",
-        "fps_median": 3.679673367614735,
-        "fps_p25": 3.7010260633892753,
-        "fps_p75": 3.6730411925903006,
+        "fps_median": 1.736215701229184,
+        "fps_p25": 1.7631990988377526,
+        "fps_p75": 1.725260270510397,
         "frame_count": 10,
-        "iqr": 0.020586160942912102,
-        "median": 2.7176325181499124,
+        "iqr": 0.12471765535883605,
+        "median": 5.7596530159935355,
         "type": "random seek()+next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchcodec",
         "description": "100 next()",
-        "fps_median": 332.62889220665653,
-        "fps_p25": 335.30421912694004,
-        "fps_p75": 329.14228955425125,
+        "fps_median": 125.18633474918164,
+        "fps_p25": 131.35032274770882,
+        "fps_p75": 121.19682688127735,
+        "frame_count": 100,
+        "iqr": 0.0637812758795917,
+        "median": 0.7988092326559126,
+        "type": "100 next()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 6.71338393971077,
+        "fps_p25": 6.71338393971077,
+        "fps_p75": 6.71338393971077,
+        "frame_count": 640,
+        "iqr": 0.0,
+        "median": 95.33195267058909,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "uniform 10 seek()+next()",
+        "fps_median": 1.243389954704256,
+        "fps_p25": 1.2474136405315202,
+        "fps_p75": 1.231124865014404,
+        "frame_count": 10,
+        "iqr": 0.1060659158974886,
+        "median": 8.042529185768217,
+        "type": "uniform seek()+next()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "random 10 seek()+next()",
+        "fps_median": 1.5460842780696675,
+        "fps_p25": 1.5614610546171193,
+        "fps_p75": 1.5057133085494405,
+        "frame_count": 10,
+        "iqr": 0.2371121821925044,
+        "median": 6.467952712439001,
+        "type": "random seek()+next()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "100 next()",
+        "fps_median": 178.9611538836387,
+        "fps_p25": 182.15441067650494,
+        "fps_p75": 124.20054668713973,
         "frame_count": 100,
-        "iqr": 0.005583339370787144,
-        "median": 0.300635339692235,
+        "iqr": 0.2561646499671042,
+        "median": 0.5587804829701781,
         "type": "100 next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchvision[video_reader]",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 1.5697915959359987,
+        "fps_p25": 1.5697915959359987,
+        "fps_p75": 1.5697915959359987,
+        "frame_count": 640,
+        "iqr": 0.0,
+        "median": 407.69743044674397,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchvision[video_reader]",
         "description": "uniform 10 seek()+next()",
-        "fps_median": 0.4183496816958986,
-        "fps_p25": 0.42028123679840773,
-        "fps_p75": 0.41643579969655253,
+        "fps_median": 0.1978081509193199,
+        "fps_p25": 0.1978081509193199,
+        "fps_p75": 0.1978081509193199,
         "frame_count": 10,
-        "iqr": 0.21971396077424288,
-        "median": 23.90344832930714,
+        "iqr": 0.0,
+        "median": 50.5540340654552,
         "type": "uniform seek()+next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchvision[video_reader]",
         "description": "random 10 seek()+next()",
-        "fps_median": 0.3201664495067429,
-        "fps_p25": 0.3201664495067429,
-        "fps_p75": 0.3201664495067429,
+        "fps_median": 0.14806268866290584,
+        "fps_p25": 0.14806268866290584,
+        "fps_p75": 0.14806268866290584,
         "frame_count": 10,
         "iqr": 0.0,
-        "median": 31.23375361599028,
+        "median": 67.53895995207131,
         "type": "random seek()+next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchvision[video_reader]",
         "description": "100 next()",
-        "fps_median": 183.6059253297136,
-        "fps_p25": 184.88581057175523,
-        "fps_p75": 180.4772551158132,
+        "fps_median": 90.71105513124185,
+        "fps_p25": 93.42498301579607,
+        "fps_p75": 66.99561256477986,
         "frame_count": 100,
-        "iqr": 0.01321205124258995,
-        "median": 0.5446447320282459,
+        "iqr": 0.4222575547173619,
+        "median": 1.1024014642462134,
         "type": "100 next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchaudio",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 0.22995229905603712,
+        "fps_p25": 0.22995229905603712,
+        "fps_p75": 0.22995229905603712,
+        "frame_count": 640,
+        "iqr": 0.0,
+        "median": 2783.1859156321734,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchaudio",
         "description": "uniform 10 seek()+next()",
-        "fps_median": 0.5240865109999612,
-        "fps_p25": 0.5245880071682041,
-        "fps_p75": 0.5235859727575772,
+        "fps_median": 0.2240825403534482,
+        "fps_p25": 0.2240825403534482,
+        "fps_p75": 0.2240825403534482,
         "frame_count": 10,
-        "iqr": 0.03648180142045021,
-        "median": 19.080819273367524,
+        "iqr": 0.0,
+        "median": 44.62641303613782,
         "type": "uniform seek()+next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchaudio",
         "description": "random 10 seek()+next()",
-        "fps_median": 0.41470785541122906,
-        "fps_p25": 0.4150239639037595,
-        "fps_p75": 0.41439222808863957,
+        "fps_median": 0.17111174619117042,
+        "fps_p25": 0.17111174619117042,
+        "fps_p75": 0.17111174619117042,
         "frame_count": 10,
-        "iqr": 0.03673251997679472,
-        "median": 24.113360452465713,
+        "iqr": 0.0,
+        "median": 58.44134153611958,
         "type": "random seek()+next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
     },
     {
         "decoder": "torchaudio",
         "description": "100 next()",
-        "fps_median": 189.09233561323046,
-        "fps_p25": 190.02373443273453,
-        "fps_p75": 187.75804451204894,
+        "fps_median": 71.79386812605445,
+        "fps_p25": 72.51511528517597,
+        "fps_p75": 71.07345912080734,
         "frame_count": 100,
-        "iqr": 0.0063502974808216095,
-        "median": 0.5288421642035246,
+        "iqr": 0.027972140349447727,
+        "median": 1.3928766148164868,
         "type": "100 next()",
-        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1280x720_120s_60fps_600gop_libx264_yuv420p.mp4"
+        "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 67.79397429639815,
+        "fps_p25": 68.59028564862771,
+        "fps_p75": 65.71375822403033,
+        "frame_count": 640,
+        "iqr": 0.40844123042188585,
+        "median": 9.440367033239454,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchcodec",
         "description": "uniform 10 seek()+next()",
-        "fps_median": 33.23248091744692,
-        "fps_p25": 33.74429257495837,
-        "fps_p75": 32.677051134717146,
+        "fps_median": 28.46557984604316,
+        "fps_p25": 29.922295359471935,
+        "fps_p75": 26.73851645668455,
         "frame_count": 10,
-        "iqr": 0.009678754955530167,
-        "median": 0.3009104263037443,
+        "iqr": 0.03979336703196168,
+        "median": 0.3513014684431255,
         "type": "uniform seek()+next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchcodec",
         "description": "random 10 seek()+next()",
-        "fps_median": 32.0340867355421,
-        "fps_p25": 32.33995696335928,
-        "fps_p75": 31.48660833047371,
+        "fps_median": 29.945412645922318,
+        "fps_p25": 30.85213034698643,
+        "fps_p75": 28.594925068542125,
         "frame_count": 10,
-        "iqr": 0.008380331099033356,
-        "median": 0.3121674759313464,
+        "iqr": 0.025585678406059742,
+        "median": 0.3339409651234746,
         "type": "random seek()+next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchcodec",
         "description": "100 next()",
-        "fps_median": 373.9297931168172,
-        "fps_p25": 377.8974427908539,
-        "fps_p75": 366.9518403987283,
+        "fps_median": 614.0952680137761,
+        "fps_p25": 628.2472414155694,
+        "fps_p75": 593.4204378926277,
+        "frame_count": 100,
+        "iqr": 0.00934158405289054,
+        "median": 0.16284118313342333,
+        "type": "100 next()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 14.269868091545673,
+        "fps_p25": 14.269868091545673,
+        "fps_p75": 14.269868091545673,
+        "frame_count": 640,
+        "iqr": 0.0,
+        "median": 44.84974884800613,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "uniform 10 seek()+next()",
+        "fps_median": 3.3887557630838336,
+        "fps_p25": 3.3996850012955604,
+        "fps_p75": 3.378710590173761,
+        "frame_count": 10,
+        "iqr": 0.018259971868246794,
+        "median": 2.950935593806207,
+        "type": "uniform seek()+next()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "random 10 seek()+next()",
+        "fps_median": 4.206317288181642,
+        "fps_p25": 4.215251838912759,
+        "fps_p75": 4.200058005638581,
+        "frame_count": 10,
+        "iqr": 0.008582000620663166,
+        "median": 2.3773765303194523,
+        "type": "random seek()+next()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
+    },
+    {
+        "decoder": "torchcodec[cuda]",
+        "description": "100 next()",
+        "fps_median": 108.15849644090362,
+        "fps_p25": 108.87629308883722,
+        "fps_p75": 107.1563304726156,
         "frame_count": 100,
-        "iqr": 0.007893264293670654,
-        "median": 0.267429880797863,
+        "iqr": 0.014742388390004635,
+        "median": 0.92456906568259,
         "type": "100 next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
+    {
+        "decoder": "torchvision[video_reader]",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 34.07782542607838,
+        "fps_p25": 34.40001338466056,
+        "fps_p75": 33.76161664373731,
+        "frame_count": 640,
+        "iqr": 0.35179429268464446,
+        "median": 18.780541070271283,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
+    },
     {
         "decoder": "torchvision[video_reader]",
         "description": "uniform 10 seek()+next()",
-        "fps_median": 5.826583628637648,
-        "fps_p25": 5.869409916500439,
-        "fps_p75": 5.80448564059718,
+        "fps_median": 4.782367451226253,
+        "fps_p25": 4.8422619348709155,
+        "fps_p75": 4.588920179004961,
         "frame_count": 10,
-        "iqr": 0.01905675418674946,
-        "median": 1.7162715988233685,
+        "iqr": 0.11401132540777326,
+        "median": 2.091014565899968,
         "type": "uniform seek()+next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchvision[video_reader]",
         "description": "random 10 seek()+next()",
-        "fps_median": 3.5913843964539565,
-        "fps_p25": 3.641605801630432,
-        "fps_p75": 3.557561124756978,
+        "fps_median": 2.9594605005777126,
+        "fps_p25": 3.0142969757047573,
+        "fps_p75": 2.939646297328533,
         "frame_count": 10,
-        "iqr": 0.06487313844263554,
-        "median": 2.7844415679574013,
+        "iqr": 0.08424665033817291,
+        "median": 3.37899424508214,
         "type": "random seek()+next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchvision[video_reader]",
         "description": "100 next()",
-        "fps_median": 220.82061460318502,
-        "fps_p25": 222.48418761498934,
-        "fps_p75": 218.84938919419412,
+        "fps_median": 195.10398914661542,
+        "fps_p25": 198.12837004507918,
+        "fps_p75": 179.9937080258182,
         "frame_count": 100,
-        "iqr": 0.007465103641152382,
-        "median": 0.452856270596385,
+        "iqr": 0.05085169989615679,
+        "median": 0.5125471828505397,
         "type": "100 next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
+    {
+        "decoder": "torchaudio",
+        "description": "dataloader[threads=8 batch_size=64] 10 decode_and_transform()",
+        "fps_median": 9.635713291548546,
+        "fps_p25": 9.635713291548546,
+        "fps_p75": 9.635713291548546,
+        "frame_count": 640,
+        "iqr": 0.0,
+        "median": 66.41957690473646,
+        "type": "dataloader[threads=8 batch_size=64] 10 x decode_and_transform()",
+        "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
+    },
     {
         "decoder": "torchaudio",
         "description": "uniform 10 seek()+next()",
-        "fps_median": 10.54381002725746,
-        "fps_p25": 10.612585301638902,
-        "fps_p75": 10.516430888261935,
+        "fps_median": 9.561191528064604,
+        "fps_p25": 9.803393073168538,
+        "fps_p75": 9.349710586702399,
         "frame_count": 10,
-        "iqr": 0.008615483529865742,
-        "median": 0.9484237646684051,
+        "iqr": 0.049496835097670555,
+        "median": 1.0458947475999594,
         "type": "uniform seek()+next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchaudio",
         "description": "random 10 seek()+next()",
-        "fps_median": 7.206591092692971,
-        "fps_p25": 7.231744857114745,
-        "fps_p75": 7.073061841995869,
+        "fps_median": 6.485374499539733,
+        "fps_p25": 6.651050187497567,
+        "fps_p75": 6.3834662410329805,
         "frame_count": 10,
-        "iqr": 0.0310227214358747,
-        "median": 1.3876186218112707,
+        "iqr": 0.06302505941130221,
+        "median": 1.5419310019351542,
         "type": "random seek()+next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
         "decoder": "torchaudio",
         "description": "100 next()",
-        "fps_median": 204.94896843488522,
-        "fps_p25": 206.320878222405,
-        "fps_p75": 203.29397516227598,
+        "fps_median": 258.3824937093069,
+        "fps_p25": 265.91286414117894,
+        "fps_p75": 250.26730738957093,
         "frame_count": 100,
-        "iqr": 0.007216569967567921,
-        "median": 0.4879263397306204,
+        "iqr": 0.02350972522981465,
+        "median": 0.38702312437817454,
         "type": "100 next()",
         "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
     },
     {
-        "cpu_count": 56,
+        "cpu_count": 22,
+        "is_cuda_available": "True",
         "machine": "x86_64",
         "processor": "x86_64",
-        "python_version": "3.11.10",
+        "python_version": "3.12.5",
         "system": "Linux"
     }
 ]
diff --git a/benchmarks/decoders/generate_readme_data.py b/benchmarks/decoders/generate_readme_data.py
index 91be59dc..3dee3913 100644
--- a/benchmarks/decoders/generate_readme_data.py
+++ b/benchmarks/decoders/generate_readme_data.py
@@ -10,7 +10,11 @@
 import shutil
 from pathlib import Path
 
+import torch
+
 from benchmark_decoders_library import (
+    BatchParameters,
+    DataLoaderInspiredWorkloadParameters,
     generate_videos,
     retrieve_videos,
     run_benchmarks,
@@ -26,42 +30,45 @@ def main() -> None:
     """Benchmarks the performance of a few video decoders on synthetic videos"""
 
     videos_dir_path = "/tmp/torchcodec_benchmarking_videos"
-    shutil.rmtree(videos_dir_path, ignore_errors=True)
-    os.makedirs(videos_dir_path)
+    if not os.path.exists(videos_dir_path):
+        shutil.rmtree(videos_dir_path, ignore_errors=True)
+        os.makedirs(videos_dir_path)
 
-    resolutions = ["1280x720"]
-    encodings = ["libx264"]
-    patterns = ["mandelbrot"]
-    fpses = [60]
-    gop_sizes = [600]
-    durations = [120]
-    pix_fmts = ["yuv420p"]
-    ffmpeg_path = "ffmpeg"
-    generate_videos(
-        resolutions,
-        encodings,
-        patterns,
-        fpses,
-        gop_sizes,
-        durations,
-        pix_fmts,
-        ffmpeg_path,
-        videos_dir_path,
-    )
+        resolutions = ["1920x1080"]
+        encodings = ["libx264"]
+        patterns = ["mandelbrot"]
+        fpses = [60]
+        gop_sizes = [600]
+        durations = [120]
+        pix_fmts = ["yuv420p"]
+        ffmpeg_path = "ffmpeg"
+        generate_videos(
+            resolutions,
+            encodings,
+            patterns,
+            fpses,
+            gop_sizes,
+            durations,
+            pix_fmts,
+            ffmpeg_path,
+            videos_dir_path,
+        )
 
-    urls_and_dest_paths = [
-        (NASA_URL, f"{videos_dir_path}/nasa_960x540_206s_30fps_yuv420p.mp4")
-    ]
-    retrieve_videos(urls_and_dest_paths)
+        urls_and_dest_paths = [
+            (NASA_URL, f"{videos_dir_path}/nasa_960x540_206s_30fps_yuv420p.mp4")
+        ]
+        retrieve_videos(urls_and_dest_paths)
 
     decoder_dict = {}
     decoder_dict["torchcodec"] = TorchCodecPublic()
+    decoder_dict["torchcodec[cuda]"] = TorchCodecPublic(device="cuda")
     decoder_dict["torchvision[video_reader]"] = TorchVision("video_reader")
     decoder_dict["torchaudio"] = TorchAudioDecoder()
 
     # These are the number of uniform seeks we do in the seek+decode benchmark.
     num_samples = 10
     video_files_paths = list(Path(videos_dir_path).glob("*.mp4"))
+    assert len(video_files_paths) == 2, "Expected exactly 2 videos"
     df_data = run_benchmarks(
         decoder_dict,
         video_files_paths,
@@ -69,6 +76,12 @@ def main() -> None:
         num_sequential_frames_from_start=[100],
         min_runtime_seconds=30,
         benchmark_video_creation=False,
+        dataloader_parameters=DataLoaderInspiredWorkloadParameters(
+            batch_parameters=BatchParameters(batch_size=64, num_threads=8),
+            resize_height=256,
+            resize_width=256,
+            resize_device="cuda",
+        ),
     )
     df_data.append(
         {
@@ -77,6 +90,7 @@ def main() -> None:
             "machine": platform.machine(),
             "processor": platform.processor(),
             "python_version": str(platform.python_version()),
+            "is_cuda_available": str(torch.cuda.is_available()),
         }
     )