Google Coral Dev Board (Edge TPU) vs Qualcomm Dragonwing RB3 Gen 2 (QCS6490)

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Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.

Google Coral Dev Board (Edge TPU) is faster in the only like-for-like comparison (largest gap: semantic segmentation, 42.69×).

	Google Coral Dev Board (Edge TPU)	Qualcomm Dragonwing RB3 Gen 2 (QCS6490)
Best semantic segmentation	175 FPS D Older data (2020)	71.69 FPS D 2026-10-07 (published)
Power	2.00 W spec	n/a
Perf / W	87.72 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	1 of 7	6 of 7

Best published semantic segmentation result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	276 FPS inference_time · b=1	yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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No published object detection results for Google Coral Dev Board (Edge TPU) or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	240 FPS inference_time · b=1	yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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No published instance segmentation results for Google Coral Dev Board (Edge TPU) or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	291 FPS inference_time · b=1	hrnet_pose w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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No published pose estimation results for Google Coral Dev Board (Edge TPU) or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	940 FPS inference_time · b=1	mobilenet_v2 w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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No published image classification results for Google Coral Dev Board (Edge TPU) or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	175 FPS inference_time · b=1	Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2020)
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	4.11 FPS inference_time · b=1	unet_segmentation w8a8 · Qualcomm AI Hub qnn_dlc (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

speech-to-text

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	42.65 FPS inference_time · b=1	whisper_small_quantized / decoder w8a16 · Qualcomm AI Hub voice_ai (QAIRT 2.50.0.260828221209) · Whisper small	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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No published speech-to-text results for Google Coral Dev Board (Edge TPU) or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for Google Coral Dev Board (Edge TPU) or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

Split result: Google Coral Dev Board (Edge TPU) is faster in 1 and Qualcomm Dragonwing RB3 Gen 2 (QCS6490) in 2 of 3 like-for-like comparisons.

	Google Coral Dev Board (Edge TPU)	Qualcomm Dragonwing RB3 Gen 2 (QCS6490)
Best image classification	500 FPS D Older data (2019)	940 FPS D 2026-10-07 (published)
Power	2.00 W spec	n/a
Perf / W	250 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	3 of 7	6 of 7

Best published image classification result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class unknown vs mobile-class CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	90.91 FPS inference_time · b=1	MobileNet v1 SSD (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)
Qualcomm Dragonwing RB3 Gen 2 (QCS6490) MIXED: model-size class unknown vs mobile-class CNN	276 FPS inference_time · b=1	yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

No shared like-for-like group exists for this pair.

instance segmentation

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	240 FPS inference_time · b=1	yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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pose estimation

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	291 FPS inference_time · b=1	hrnet_pose w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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image classification

✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	940 FPS inference_time · b=1	mobilenet_v2 w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
Google Coral Dev Board (Edge TPU)	417 FPS inference_time · b=1	MobileNet v1 (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	379 FPS inference_time · b=1	resnet50 w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
Google Coral Dev Board (Edge TPU)	17.86 FPS inference_time · b=1	ResNet-50 V1 (299x299) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)

semantic segmentation

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	175 FPS inference_time · b=1	Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2020)
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	4.11 FPS inference_time · b=1	unet_segmentation w8a8 · Qualcomm AI Hub qnn_dlc (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

speech-to-text

Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing RB3 Gen 2 (QCS6490)	42.65 FPS inference_time · b=1	whisper_small_quantized / decoder w8a16 · Qualcomm AI Hub voice_ai (QAIRT 2.50.0.260828221209) · Whisper small	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Google Coral Dev Board (Edge TPU):

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LLM generation

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How to read these numbers

Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.