AMD Versal AI Edge Series Gen 2 VEK385 vs AMD Zynq UltraScale+ ZCU104 (ZU7EV)

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

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 Series Gen 2 VEK385	AMD Zynq UltraScale+ ZCU104 (ZU7EV)
Best object detection	93.50 FPS D 2026-09-24 (published)	463 FPS D Older data (2023)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	$15995 list	n/a
Workloads with data	2 of 7	4 of 7

Best published object detection result per platform. 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 medium (YOLO-m) at batch 1. Differs: model-size class unknown vs medium (YOLO-m); batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge Series Gen 2 VEK385	93.50 FPS throughput · b=1	yolov8m VINT8 with BF16 tail (Quark) · Vitis AI 6.3 VART ml_vart --benchmark --runs 100 · medium (YOLO-m)	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 YOLOv8m tutorial 2026-09-24 (published)
AMD Zynq UltraScale+ ZCU104 (ZU7EV) MIXED: model-size class unknown vs medium (YOLO-m); batch unknown vs 1	463 FPS E2E throughput, multi thread · b=unknown	pt_yolox-nano_coco_416_416_1G INT8 · Vitis AI 3.0 (VART) · unknown	D	unknown 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.

instance segmentation

◌

No published instance segmentation results for AMD Versal AI Edge Series Gen 2 VEK385 or AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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+ ZCU104 (ZU7EV) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Zynq UltraScale+ ZCU104 (ZU7EV)	372 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)

AMD Versal AI Edge Series Gen 2 VEK385:

◌

No published pose estimation results for AMD Versal AI Edge Series Gen 2 VEK385 or AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge Series Gen 2 VEK385	265 FPS throughput · b=1	resnet50-v1-12 (ONNX) INT8 (Quark) · Vitis AI 6.3 ONNX Runtime Vitis AI EP (evaluate.py, Python loop) · mid-size CNN	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 ResNet50 Quark tutorial 2026-09-23 (page last edited)
AMD Zynq UltraScale+ ZCU104 (ZU7EV) MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1	4325 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)

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

semantic segmentation

Only AMD Zynq UltraScale+ ZCU104 (ZU7EV) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Zynq UltraScale+ ZCU104 (ZU7EV)	53.02 FPS E2E throughput, multi thread · b=unknown	pt_SemanticFPN-mobilenetv2_cityscapes_512_1024_10G 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)

AMD Versal AI Edge Series Gen 2 VEK385:

◌

No published semantic segmentation results for AMD Versal AI Edge Series Gen 2 VEK385 or AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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

◌

No published speech-to-text results for AMD Versal AI Edge Series Gen 2 VEK385 or AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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 Series Gen 2 VEK385 or AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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.