HWBench

AMD Versal AI Edge VEK280 (VE2802) vs Google Coral Dev Board (Edge TPU)

FPGA / Versal coverage note: 1,243 rows come from the AMD Vitis AI 3.0/3.5 Model Zoo tables; 733 (59%) are image classification. Detection, segmentation and other workloads are thinner, and there is no LLM or speech data for these boards. All are vendor-published (grade D). FPGA / Versal overview.
Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

AMD Versal AI Edge VEK280 (VE2802)Google Coral Dev Board (Edge TPU)
Best semantic segmentation1564 FPS D
Older data (2023)		175 FPS D
Older data (2020)
Powern/a2.00 W spec
Perf / Wn/a87.72 FPS/W spec
Pricen/an/a
Workloads with data4 of 71 of 7

Best published semantic segmentation result per platform. n/a = not published; never estimated.

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

object detection

Only AMD Versal AI Edge VEK280 (VE2802) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge VEK280 (VE2802)164 FPS
E2E throughput, multi thread · b=14		yolov5l_pt
INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · large (YOLO-l)		Dunknown power n/a
no power published		AMD UG1354 Vitis AI Library performance tables
undated

Google Coral Dev Board (Edge TPU):

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No published object detection results for Google Coral Dev Board (Edge TPU) or AMD Versal AI Edge VEK280 (VE2802) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for AMD Versal AI Edge VEK280 (VE2802) or Google Coral Dev Board (Edge TPU) 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 AMD Versal AI Edge VEK280 (VE2802) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge VEK280 (VE2802)428 FPS
E2E throughput, multi thread · b=unknown		pt_movenet_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN		Dunknown power n/a
no power published		Vitis AI 3.5 Model Zoo performance table
Older data (2023)

Google Coral Dev Board (Edge TPU):

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No published pose estimation results for Google Coral Dev Board (Edge TPU) or AMD Versal AI Edge VEK280 (VE2802) 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 AMD Versal AI Edge VEK280 (VE2802) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge VEK280 (VE2802)337 FPS
throughput · b=1		resnet50 (TRD example xmodel)
INT8 · Vitis AI 3.5 DPUCV2DX8G reference design, test_dpu_runner_mt · mid-size CNN		Dunknown power n/a
no power published		Vitis AI 3.5 VEK280 DPUCV2DX8G reference design (ResNet50 example)
Older data (2023)

Google Coral Dev Board (Edge TPU):

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No published image classification results for Google Coral Dev Board (Edge TPU) or AMD Versal AI Edge VEK280 (VE2802) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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		D2.00 W spec
platform spec envelope (not measured with this result)		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2020)
AMD Versal AI Edge VEK280 (VE2802)
MIXED: batch unknown vs 1		1564 FPS
E2E throughput, multi thread · b=unknown		tf2_2D-UNET_3.5
INT8 · Vitis AI 3.5 (VART) · mid-size CNN		Dunknown power n/a
no power published		Vitis AI 3.5 Model Zoo performance table
Older data (2023)

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

speech-to-text

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No published speech-to-text results for AMD Versal AI Edge VEK280 (VE2802) or Google Coral Dev Board (Edge TPU) 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 AMD Versal AI Edge VEK280 (VE2802) or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

AMD Versal AI Edge VEK280 (VE2802) is faster in the only like-for-like comparison (largest gap: image classification, 18.87×).

AMD Versal AI Edge VEK280 (VE2802)Google Coral Dev Board (Edge TPU)
Best image classification8598 FPS D
Older data (2023)		500 FPS D
Older data (2019)
Powern/a2.00 W spec
Perf / Wn/a250 FPS/W spec
Pricen/an/a
Workloads with data4 of 73 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: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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		D2.00 W spec
platform spec envelope (not measured with this result)		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2019)
AMD Versal AI Edge VEK280 (VE2802)
MIXED: batch unknown vs 1		1933 FPS
E2E throughput, multi thread · b=unknown		tf_ssdmobilenetv1_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN		Dunknown power n/a
no power published		Vitis AI 3.5 Model Zoo performance table
Older data (2023)

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

instance segmentation

◌

No published instance segmentation results for AMD Versal AI Edge VEK280 (VE2802) or Google Coral Dev Board (Edge TPU) 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 AMD Versal AI Edge VEK280 (VE2802) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge VEK280 (VE2802)428 FPS
E2E throughput, multi thread · b=unknown		pt_movenet_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN		Dunknown power n/a
no power published		Vitis AI 3.5 Model Zoo performance table
Older data (2023)

Google Coral Dev Board (Edge TPU):

◌

No published pose estimation results for Google Coral Dev Board (Edge TPU) or AMD Versal AI Edge VEK280 (VE2802) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge VEK280 (VE2802)337 FPS
throughput · b=1		resnet50 (TRD example xmodel)
INT8 · Vitis AI 3.5 DPUCV2DX8G reference design, test_dpu_runner_mt · mid-size CNN		Dunknown power n/a
no power published		Vitis AI 3.5 VEK280 DPUCV2DX8G reference design (ResNet50 example)
Older data (2023)
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		D2.00 W spec
platform spec envelope (not measured with this result)		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2019)

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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		D2.00 W spec
platform spec envelope (not measured with this result)		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2020)
AMD Versal AI Edge VEK280 (VE2802)
MIXED: batch unknown vs 1		1564 FPS
E2E throughput, multi thread · b=unknown		tf2_2D-UNET_3.5
INT8 · Vitis AI 3.5 (VART) · mid-size CNN		Dunknown power n/a
no power published		Vitis AI 3.5 Model Zoo performance table
Older data (2023)

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

speech-to-text

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No published speech-to-text results for AMD Versal AI Edge VEK280 (VE2802) or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

◌

No published LLM generation results for AMD Versal AI Edge VEK280 (VE2802) or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

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.