AMD Zynq UltraScale+ ZCU102 (ZU9EG) vs Hailo-10H (M.2/PCIe, x86 host)
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) | Hailo-10H (M.2/PCIe, x86 host) | |
|---|---|---|
| Best object detection | 539 FPS D Older data (2023) | 375 FPS D undated |
| Power | n/a | 2.50 W spec |
| Perf / W | n/a | 150 FPS/W spec |
| Price | n/a | n/a |
| Workloads with data | 4 of 7 | 5 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 375 FPS throughput · b=1 | yolov8n INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · nano (YOLO-n) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) undated |
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1 | 539 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
Only Hailo-10H (M.2/PCIe, x86 host) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 66.70 FPS throughput · b=1 | yolov8m_seg INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · medium (YOLO-m) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) undated |
AMD Zynq UltraScale+ ZCU102 (ZU9EG):
No published instance segmentation results for AMD Zynq UltraScale+ ZCU102 (ZU9EG) or Hailo-10H (M.2/PCIe, x86 host) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 79.20 FPS throughput · b=1 | yolov8m_pose INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · medium (YOLO-m) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) undated |
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) MIXED: model-size class unknown vs medium (YOLO-m); batch unknown vs 1 | 391 FPS E2E throughput, multi thread · b=unknown | pt_movenet_coco_192_192_0.5G 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.
image classification
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 2798 FPS throughput · b=1 | mobilenet_v2_1.0 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mobile-class CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) undated |
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) MIXED: 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 | 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 667 FPS throughput · b=1 | unet_mobilenet_v2 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mobile-class CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) undated |
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1 | 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) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for AMD Zynq UltraScale+ ZCU102 (ZU9EG) or Hailo-10H (M.2/PCIe, x86 host) 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 Zynq UltraScale+ ZCU102 (ZU9EG) or Hailo-10H (M.2/PCIe, x86 host) 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
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.