AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs Hailo-10H (M.2/PCIe, x86 host)
Hailo-10H (M.2/PCIe, x86 host) is faster in all 2 like-for-like comparisons (largest gap: object detection, 21.39×).
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | Hailo-10H (M.2/PCIe, x86 host) | |
|---|---|---|
| Best object detection | 276 FPS D Older data (2023) | 375 FPS D 2026-09-03 (page last edited) |
| Power | 7.50 W spec | 2.50 W spec |
| Perf / W | 36.76 FPS/W spec | 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 (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
| 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) 2026-09-03 (page last edited) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 33.60 FPS throughput (DPU only) · b=1 | YOLOv8n-Ghost (Hard-Swish, xView3-SAR) INT8 (Vitis AI quantizer, power-of-two) · Vitis AI 3.5 VART, DPU inference only, 2 threads · nano (YOLO-n) | C | 7.50 W spec platform spec envelope (not measured with this result) | arXiv 2507.04842v2 (SAR vessel detection on Kria KV260), Table 6 2025-11-17 (published) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 261 FPS throughput · b=1 | yolov5s_wo_spp INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · small (YOLO-s) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 12.20 FPS throughput (DPU only) · b=1 | YOLOv8s-Ghost-P2 (Hard-Swish, xView3-SAR) INT8 (Vitis AI quantizer, power-of-two) · Vitis AI 3.5 VART, DPU inference only, 2 threads · small (YOLO-s) | C | 7.50 W spec platform spec envelope (not measured with this result) | arXiv 2507.04842v2 (SAR vessel detection on Kria KV260), Table 6 2025-11-17 (published) |
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) 2026-09-03 (page last edited) |
AMD Kria KV260 Vision AI Starter Kit (K26 SOM):
No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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) | 2034 FPS throughput · b=1 | mspn_regnetx_800mf INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mid-size CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1 | 352 FPS E2E throughput, multi thread · b=unknown | pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | 7.50 W spec reported in result source — spec | 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) 2026-09-03 (page last edited) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: batch unknown vs 1 | 2432 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 | 7.50 W spec reported in result source — spec | 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) 2026-09-03 (page last edited) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1 | 183 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 | 7.50 W spec reported in result source — spec | 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 Kria KV260 Vision AI Starter Kit (K26 SOM) 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 Kria KV260 Vision AI Starter Kit (K26 SOM) 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.