HWBenchedge-AI hardware data, cited & graded

AMD Zynq UltraScale+ ZCU102 (ZU9EG) vs Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0

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.
AMDeval kit (adaptive SoC) · no photo yet
No licensed photo available — placeholder drawing.
GoogleAI accelerator (USB) · no photo yet
No licensed photo available — placeholder drawing.

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

AMD Zynq UltraScale+ ZCU102 (ZU9EG)Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0
Best image classification4832 FPS D
Older data (2023)
476 FPS D
undated
Powern/a2.00 W spec
Perf / Wn/a238 FPS/W spec
Pricen/an/a
Workloads with data4 of 71 of 7

Best published image classification result per platform. n/a = not published; never estimated.

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

object detection

Only AMD Zynq UltraScale+ ZCU102 (ZU9EG) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
AMD Zynq UltraScale+ ZCU102 (ZU9EG)26.09 FPS
E2E throughput, multi thread · b=unknown
pt_yolov5s6_coco_1280_1280_17G
INT8 · Vitis AI 3.0 (VART) · small (YOLO-s)
Dunknown power n/a
no power published
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published object detection results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Zynq UltraScale+ ZCU102 (ZU9EG)391 FPS
E2E throughput, multi thread · b=unknown
pt_movenet_coco_192_192_0.5G
INT8 · Vitis AI 3.0 (VART) · unknown
Dunknown power n/a
no power published
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published pose estimation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or AMD Zynq UltraScale+ ZCU102 (ZU9EG) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0303 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)
undated
AMD Zynq UltraScale+ ZCU102 (ZU9EG)
MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1
4832 FPS
E2E throughput, multi thread · b=unknown
tf_mobilenetv1_0.25_imagenet_128_128_27M
INT8 · Vitis AI 3.0 (VART) · mobile-class CNN
Dunknown power n/a
no power published
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

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

semantic segmentation

Only AMD Zynq UltraScale+ ZCU102 (ZU9EG) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Zynq UltraScale+ ZCU102 (ZU9EG)437 FPS
E2E throughput, multi thread · b=unknown
tf2_2d-unet_nuclei_128_128_5.31G
INT8 · Vitis AI 3.0 (VART) · mid-size CNN
Dunknown power n/a
no power published
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published semantic segmentation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or AMD Zynq UltraScale+ ZCU102 (ZU9EG) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

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No published speech-to-text results for AMD Zynq UltraScale+ ZCU102 (ZU9EG) or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 Zynq UltraScale+ ZCU102 (ZU9EG) or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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.