AMD Zynq UltraScale+ ZCU102 (ZU9EG) vs TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)

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 licensed photo yet

GATEOverflowmini-PCNo licensed photo yet

Showing the newest results per platform and source. 106 superseded older results are hidden.Showing all results, including 106 superseded by newer results from the same source.

AMD Zynq UltraScale+ ZCU102 (ZU9EG) is faster in the only like-for-like comparison (largest gap: image classification, 21.91×).

	AMD Zynq UltraScale+ ZCU102 (ZU9EG)	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
Best image classification	4832 FPS D Older data (2023)	221 FPS B 2025-09-04 (published)
Power	n/a	34.18 W measured
Perf / W	n/a	6.45 FPS/W measured
Price	n/a	n/a
Workloads with data	4 of 7	1 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

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

Platform	Result	Model · precision · stack	Grade	Power	Source
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)	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published object detection results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
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) · mobile-class CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published pose estimation results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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

✓ Like-for-like: model-size class mobile-class CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Zynq UltraScale+ ZCU102 (ZU9EG)	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	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only	221 FPS throughput_offline · b=unknown	MLPerf resnet (open) / mobilenet-v1-precision_float-1.0-128 FP32 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mobile-class CNN	B	34.18 W measured reported in result source — measured	MLPerf Inference v5.1, open division 2025-09-04 (published)

semantic segmentation

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

Platform	Result	Model · precision · stack	Grade	Power	Source
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	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published semantic segmentation results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

AMD Zynq UltraScale+ ZCU102 (ZU9EG) is faster in all 2 like-for-like comparisons (largest gap: image classification, 3.56×).

	AMD Zynq UltraScale+ ZCU102 (ZU9EG)	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
Best image classification	4832 FPS D Older data (2023)	2798 FPS B Older data (2025)
Power	n/a	30.72 W measured
Perf / W	n/a	91.08 FPS/W measured
Price	n/a	n/a
Workloads with data	4 of 7	1 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

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

Platform	Result	Model · precision · stack	Grade	Power	Source
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)	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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instance segmentation

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pose estimation

Only AMD Zynq UltraScale+ ZCU102 (ZU9EG) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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) · mobile-class CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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image classification

✓ Like-for-like: model-size class mid-size CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Zynq UltraScale+ ZCU102 (ZU9EG)	371 FPS E2E throughput, multi thread · b=unknown	pt_OFA-resnet50_imagenet_160_160_0.88_1.8G INT8 · Vitis AI 3.0 (VART) · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only	104 FPS throughput_offline · b=unknown	MLPerf resnet (open) / efficientnet-int8-lite0 INT8 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mid-size CNN	B	28.20 W measured reported in result source — measured	MLPerf Inference v5.0, open division Older data (2025)

✓ Like-for-like: model-size class mobile-class CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Zynq UltraScale+ ZCU102 (ZU9EG)	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	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only	2798 FPS throughput_offline · b=unknown	MLPerf resnet (open) / mobilenet-v1-precision_float-0.25-128 FP32 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mobile-class CNN	B	30.72 W measured reported in result source — measured	MLPerf Inference v5.0, open division Older data (2025)

semantic segmentation

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

Platform	Result	Model · precision · stack	Grade	Power	Source
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	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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speech-to-text

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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.