diff --git a/benchmarks/decoders/benchmark_decoders_library.py b/benchmarks/decoders/benchmark_decoders_library.py
index 4646d80a..f5f2fe8a 100644
--- a/benchmarks/decoders/benchmark_decoders_library.py
+++ b/benchmarks/decoders/benchmark_decoders_library.py
@@ -123,7 +123,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
 
     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")
+        reader = self.torchvision.io.VideoReader(video_file, "video", num_threads=1)
         frames = []
         for pts in pts_list:
             reader.seek(pts)
@@ -177,15 +177,20 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
 
 class TorchCodecCoreNonBatch(AbstractDecoder):
     def __init__(self, num_threads=None, color_conversion_library=None, device="cpu"):
-        self._num_threads = int(num_threads) if num_threads else None
+        self._num_threads = num_threads
         self._color_conversion_library = color_conversion_library
         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 = create_from_file(video_file)
+        num_threads = int(self._num_threads) if self._num_threads else 0
         _add_video_stream(
             decoder,
-            num_threads=self._num_threads,
+            num_threads=num_threads,
             color_conversion_library=self._color_conversion_library,
             device=self._device,
         )
@@ -199,10 +204,11 @@ def get_frames_from_video(self, video_file, pts_list):
         return frames
 
     def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
+        num_threads = int(self._num_threads) if self._num_threads else 0
         decoder = create_from_file(video_file)
         _add_video_stream(
             decoder,
-            num_threads=self._num_threads,
+            num_threads=num_threads,
             color_conversion_library=self._color_conversion_library,
             device=self._device,
         )
@@ -214,6 +220,29 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
 
         return frames
 
+    def decode_and_transform(self, video_file, pts_list, height, width, device):
+        num_threads = int(self._num_threads) if self._num_threads else 1
+        decoder = create_from_file(video_file)
+        _add_video_stream(
+            decoder,
+            num_threads=num_threads,
+            color_conversion_library=self._color_conversion_library,
+            device=self._device,
+        )
+
+        frames = []
+        for pts in pts_list:
+            seek_to_pts(decoder, pts)
+            frame, *_ = get_next_frame(decoder)
+            frames.append(frame)
+
+        frames = [
+            self.transforms_v2.functional.resize(frame.to(device), (height, width))
+            for frame in frames
+        ]
+
+        return frames
+
 
 class TorchCodecCoreBatch(AbstractDecoder):
     def __init__(self, num_threads=None, color_conversion_library=None, device="cpu"):
@@ -258,7 +287,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
 
 class TorchCodecPublic(AbstractDecoder):
     def __init__(self, num_ffmpeg_threads=None, device="cpu"):
-        self._num_ffmpeg_threads = int(num_ffmpeg_threads) if num_ffmpeg_threads else 1
+        self._num_ffmpeg_threads = num_ffmpeg_threads
         self._device = device
 
         from torchvision.transforms import v2 as transforms_v2
@@ -266,14 +295,20 @@ def __init__(self, num_ffmpeg_threads=None, device="cpu"):
         self.transforms_v2 = transforms_v2
 
     def get_frames_from_video(self, video_file, pts_list):
+        num_ffmpeg_threads = (
+            int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 0
+        )
         decoder = VideoDecoder(
-            video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
+            video_file, num_ffmpeg_threads=num_ffmpeg_threads, device=self._device
         )
         return decoder.get_frames_played_at(pts_list)
 
     def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
+        num_ffmpeg_threads = (
+            int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 0
+        )
         decoder = VideoDecoder(
-            video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
+            video_file, num_ffmpeg_threads=num_ffmpeg_threads, device=self._device
         )
         frames = []
         count = 0
@@ -285,8 +320,11 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
         return frames
 
     def decode_and_transform(self, video_file, pts_list, height, width, device):
+        num_ffmpeg_threads = (
+            int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 1
+        )
         decoder = VideoDecoder(
-            video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
+            video_file, num_ffmpeg_threads=num_ffmpeg_threads, device=self._device
         )
         frames = decoder.get_frames_played_at(pts_list)
         frames = self.transforms_v2.functional.resize(frames.data, (height, width))
@@ -339,7 +377,9 @@ def __init__(self):
 
     def get_frames_from_video(self, video_file, pts_list):
         stream_reader = self.torchaudio.io.StreamReader(src=video_file)
-        stream_reader.add_basic_video_stream(frames_per_chunk=1)
+        stream_reader.add_basic_video_stream(
+            frames_per_chunk=1, decoder_option={"threads": "0"}
+        )
         frames = []
         for pts in pts_list:
             stream_reader.seek(pts)
@@ -350,7 +390,9 @@ def get_frames_from_video(self, video_file, pts_list):
 
     def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
         stream_reader = self.torchaudio.io.StreamReader(src=video_file)
-        stream_reader.add_basic_video_stream(frames_per_chunk=1)
+        stream_reader.add_basic_video_stream(
+            frames_per_chunk=1, decoder_option={"threads": "0"}
+        )
         frames = []
         frame_cnt = 0
         for vframe in stream_reader.stream():
@@ -363,7 +405,9 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
 
     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)
+        stream_reader.add_basic_video_stream(
+            frames_per_chunk=1, decoder_option={"threads": "1"}
+        )
         frames = []
         for pts in pts_list:
             stream_reader.seek(pts)
@@ -634,7 +678,10 @@ def run_benchmarks(
                     },
                     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()",
+                    description=f"concurrent[threads={bp.num_threads},batch_size={bp.batch_size}] {num_samples} decode_and_transform()",
+                )
+                print(
+                    f"{decoder_name} concurrent[threads={bp.num_threads} batch_size={bp.batch_size}]"
                 )
                 results.append(
                     dataloader_result.blocked_autorange(
@@ -647,7 +694,7 @@ def run_benchmarks(
                         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()",
+                        f"concurrent[threads={bp.num_threads} batch_size={bp.batch_size}] {num_samples} x decode_and_transform()",
                     )
                 )
 
@@ -670,6 +717,7 @@ def run_benchmarks(
                     sub_label=decoder_name,
                     description=f"{kind} {num_samples} seek()+next()",
                 )
+                print(f"{decoder_name} {kind} {num_samples} seek()+next()")
                 results.append(
                     seeked_result.blocked_autorange(min_run_time=min_runtime_seconds)
                 )
@@ -697,6 +745,7 @@ def run_benchmarks(
                         sub_label=decoder_name,
                         description=f"batch {kind} {num_samples} seek()+next()",
                     )
+                    print(f"{decoder_name} batch {kind} {num_samples} seek()+next()")
                     results.append(
                         seeked_result.blocked_autorange(
                             min_run_time=min_runtime_seconds
@@ -724,6 +773,7 @@ def run_benchmarks(
                     sub_label=decoder_name,
                     description=f"{num_consecutive_nexts} next()",
                 )
+                print(f"{decoder_name} {num_consecutive_nexts} next()")
                 results.append(
                     consecutive_frames_result.blocked_autorange(
                         min_run_time=min_runtime_seconds
@@ -753,6 +803,7 @@ def run_benchmarks(
                         sub_label=decoder_name,
                         description=f"batch {num_consecutive_nexts} next()",
                     )
+                    print(f"{decoder_name} batch {num_consecutive_nexts} next()")
                     results.append(
                         consecutive_frames_result.blocked_autorange(
                             min_run_time=min_runtime_seconds
diff --git a/benchmarks/decoders/benchmark_readme_chart.png b/benchmarks/decoders/benchmark_readme_chart.png
index 2ead24b5..64c99ff1 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 3bfa1f18..7269802f 100644
--- a/benchmarks/decoders/benchmark_readme_data.json
+++ b/benchmarks/decoders/benchmark_readme_data.json
@@ -1,397 +1,395 @@
 {
-  "experiments":
-  [
-      {
-          "decoder": "torchcodec",
-          "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()",
-          "fps_median": 2.1909987258958803,
-          "fps_p25": 2.1909987258958803,
-          "fps_p75": 2.1909987258958803,
-          "frame_count": 500,
-          "iqr": 0.0,
-          "median": 228.2064311997965,
-          "type": "dataloader[threads=10,batch_size=50] 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": 0.22373366699708405,
-          "fps_p25": 0.22373366699708405,
-          "fps_p75": 0.22373366699708405,
-          "frame_count": 10,
-          "iqr": 0.0,
-          "median": 44.69600008893758,
-          "type": "10 x uniform seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec",
-          "description": "random 10 seek()+next()",
-          "fps_median": 0.2870396511009182,
-          "fps_p25": 0.2870396511009182,
-          "fps_p75": 0.2870396511009182,
-          "frame_count": 10,
-          "iqr": 0.0,
-          "median": 34.83839240204543,
-          "type": "10 x random seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec",
-          "description": "100 next()",
-          "fps_median": 79.89466672412033,
-          "fps_p25": 99.18266043890266,
-          "fps_p75": 79.07153270302595,
-          "frame_count": 100,
-          "iqr": 0.2564368974417448,
-          "median": 1.2516480023041368,
-          "type": "100 next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec[cuda]",
-          "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()",
-          "fps_median": 7.324784294018666,
-          "fps_p25": 7.324784294018666,
-          "fps_p75": 7.324784294018666,
-          "frame_count": 500,
-          "iqr": 0.0,
-          "median": 68.26139582134783,
-          "type": "dataloader[threads=10,batch_size=50] 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": 1.232367350732705,
-          "fps_p25": 1.233843742370965,
-          "fps_p75": 1.2314023481824525,
-          "frame_count": 10,
-          "iqr": 0.016068589873611927,
-          "median": 8.114463592413813,
-          "type": "10 x 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": 1.5437990877014915,
-          "fps_p25": 1.5438508087203877,
-          "fps_p75": 1.5435480997081767,
-          "frame_count": 10,
-          "iqr": 0.0012702811509370804,
-          "median": 6.477526823058724,
-          "type": "10 x random seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec[cuda]",
-          "description": "100 next()",
-          "fps_median": 179.5141829898575,
-          "fps_p25": 182.56822073549603,
-          "fps_p75": 124.4290827477999,
-          "frame_count": 100,
-          "iqr": 0.25593018205836415,
-          "median": 0.5570590486750007,
-          "type": "100 next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchvision[video_reader]",
-          "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()",
-          "fps_median": 1.951097912335046,
-          "fps_p25": 1.951097912335046,
-          "fps_p75": 1.951097912335046,
-          "frame_count": 500,
-          "iqr": 0.0,
-          "median": 256.265970476903,
-          "type": "dataloader[threads=10,batch_size=50] 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": 0.23515671574954122,
-          "fps_p25": 0.23515671574954122,
-          "fps_p75": 0.23515671574954122,
-          "frame_count": 10,
-          "iqr": 0.0,
-          "median": 42.524832719005644,
-          "type": "10 x uniform seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchvision[video_reader]",
-          "description": "random 10 seek()+next()",
-          "fps_median": 0.17733950193054088,
-          "fps_p25": 0.17733950193054088,
-          "fps_p75": 0.17733950193054088,
-          "frame_count": 10,
-          "iqr": 0.0,
-          "median": 56.38901593349874,
-          "type": "10 x random seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchvision[video_reader]",
-          "description": "100 next()",
-          "fps_median": 91.93830916027736,
-          "fps_p25": 93.48146430884644,
-          "fps_p75": 89.72122041281625,
-          "frame_count": 100,
-          "iqr": 0.04483274556696415,
-          "median": 1.087685872334987,
-          "type": "100 next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchaudio",
-          "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()",
-          "fps_median": 0.23115768079016835,
-          "fps_p25": 0.23115768079016835,
-          "fps_p75": 0.23115768079016835,
-          "frame_count": 500,
-          "iqr": 0.0,
-          "median": 2163.0256813913584,
-          "type": "dataloader[threads=10,batch_size=50] 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": 0.26119132784303123,
-          "fps_p25": 0.26119132784303123,
-          "fps_p75": 0.26119132784303123,
-          "frame_count": 10,
-          "iqr": 0.0,
-          "median": 38.2861103489995,
-          "type": "10 x uniform seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchaudio",
-          "description": "random 10 seek()+next()",
-          "fps_median": 0.19600716639142407,
-          "fps_p25": 0.19600716639142407,
-          "fps_p75": 0.19600716639142407,
-          "frame_count": 10,
-          "iqr": 0.0,
-          "median": 51.01854276098311,
-          "type": "10 x random seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchaudio",
-          "description": "100 next()",
-          "fps_median": 100.42696877778134,
-          "fps_p25": 101.82432674120878,
-          "fps_p75": 98.63909948929518,
-          "frame_count": 100,
-          "iqr": 0.0317131788469851,
-          "median": 0.995748464949429,
-          "type": "100 next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec",
-          "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()",
-          "fps_median": 78.89304868408422,
-          "fps_p25": 79.36504926194816,
-          "fps_p75": 78.80019881505761,
-          "frame_count": 500,
-          "iqr": 0.04515926633030176,
-          "median": 6.3376939836889505,
-          "type": "dataloader[threads=10,batch_size=50] 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": 9.854385050842327,
-          "fps_p25": 10.094368141227985,
-          "fps_p75": 9.656371003428172,
-          "frame_count": 10,
-          "iqr": 0.04493432166054845,
-          "median": 1.014776665251702,
-          "type": "10 x uniform seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec",
-          "description": "random 10 seek()+next()",
-          "fps_median": 7.965955631552031,
-          "fps_p25": 8.052124079150976,
-          "fps_p75": 7.759671780042043,
-          "frame_count": 10,
-          "iqr": 0.04680596780963242,
-          "median": 1.2553421664051712,
-          "type": "10 x random seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec",
-          "description": "100 next()",
-          "fps_median": 250.74790033552227,
-          "fps_p25": 255.02885647654145,
-          "fps_p75": 248.55035150151298,
-          "frame_count": 100,
-          "iqr": 0.010220475262030959,
-          "median": 0.3988069286569953,
-          "type": "100 next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
-      },
-      {
-          "decoder": "torchcodec[cuda]",
-          "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()",
-          "fps_median": 14.558551600810196,
-          "fps_p25": 14.558551600810196,
-          "fps_p75": 14.558551600810196,
-          "frame_count": 500,
-          "iqr": 0.0,
-          "median": 34.34407581947744,
-          "type": "dataloader[threads=10,batch_size=50] 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": 3.3993119043827935,
-          "fps_p25": 3.4033747004472383,
-          "fps_p75": 3.3871671818375297,
-          "frame_count": 10,
-          "iqr": 0.014059508219361305,
-          "median": 2.9417718295007944,
-          "type": "10 x uniform seek()+next()",
-          "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4"
-      },
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 }