AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs Intel Core Ultra X7 358H (Panther Lake)
Intel Core Ultra X7 358H (Panther Lake) is faster in all 2 like-for-like comparisons (largest gap: object detection, 18.34×).
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | Intel Core Ultra X7 358H (Panther Lake) | |
|---|---|---|
| Best object detection | 276 FPS D Older data (2023) | 248 FPS C 2026-09-27 (page last edited) |
| Power | 7.50 W spec | n/a |
| Perf / W | 36.76 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 4 of 7 | 1 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 |
|---|---|---|---|---|---|
| Intel Core Ultra X7 358H (Panther Lake) | 248 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n) | C | unknown power n/a no power published | Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (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 |
|---|---|---|---|---|---|
| Intel Core Ultra X7 358H (Panther Lake) | 224 FPS inference_time · b=1 | YOLO26s INT8 · Ultralytics + OpenVINO 2026.2.1 · small (YOLO-s) | C | unknown power n/a no power published | Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (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
No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Intel Core Ultra X7 358H (Panther Lake) 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 Kria KV260 Vision AI Starter Kit (K26 SOM) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 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) |
Intel Core Ultra X7 358H (Panther Lake):
No published pose estimation results for Intel Core Ultra X7 358H (Panther Lake) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
Only AMD Kria KV260 Vision AI Starter Kit (K26 SOM) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 214 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 | 7.50 W spec reported in result source — spec | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Intel Core Ultra X7 358H (Panther Lake):
No published image classification results for Intel Core Ultra X7 358H (Panther Lake) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
Only AMD Kria KV260 Vision AI Starter Kit (K26 SOM) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 32.90 FPS E2E throughput, multi thread · b=unknown | pt_SemanticFPN-mobilenetv2_cityscapes_512_1024_10G 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) |
Intel Core Ultra X7 358H (Panther Lake):
No published semantic segmentation results for Intel Core Ultra X7 358H (Panther Lake) or AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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 Kria KV260 Vision AI Starter Kit (K26 SOM) or Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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.