AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs Intel Core i5-1235U

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.

No licensed photo available — placeholder drawing.

AMD Kria KV260 Vision AI Starter Kit (K26 SOM) is faster in all 4 like-for-like comparisons (largest gap: object detection, 3.54×).

	AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	Intel Core i5-1235U
Best object detection	276 FPS D Older data (2023)	77.79 FPS D undated
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	2 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

✓ 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 Kria KV260 Vision AI Starter Kit (K26 SOM)	5.41 FPS E2E throughput, multi thread · b=unknown	tf_ssdresnet50v1_fpn_coco_640_640_178.4G 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 i5-1235U CPU-only	3.05 FPS throughput (OpenVINO benchmark_app) · b=unknown	ssd-resnet34-1200 INT8 · OpenVINO 2026.4.1 · mid-size CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) undated

✓ Like-for-like: model-size class unknown, 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 Kria KV260 Vision AI Starter Kit (K26 SOM)	276 FPS E2E throughput, multi thread · b=unknown	pt_yolox-nano_coco_416_416_1G INT8 · Vitis AI 3.0 (VART) · unknown	D	7.50 W spec reported in result source — spec	Vitis AI 3.0 Model Zoo performance table Older data (2023)
Intel Core i5-1235U CPU-only	77.79 FPS throughput (OpenVINO benchmark_app) · b=unknown	yolo_v8n INT8 · OpenVINO 2026.4.1 · unknown	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) undated

instance segmentation

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No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Intel Core i5-1235U 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) · unknown	D	7.50 W spec reported in result source — spec	Vitis AI 3.0 Model Zoo performance table Older data (2023)

Intel Core i5-1235U:

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No published pose estimation results for Intel Core i5-1235U 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

✓ 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 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 i5-1235U	200 FPS throughput (OpenVINO benchmark_app) · b=unknown	resnet-50 INT8 · OpenVINO 2026.4.1 · mid-size CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) undated

✓ 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 Kria KV260 Vision AI Starter Kit (K26 SOM)	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)
Intel Core i5-1235U CPU-only	755 FPS throughput (OpenVINO benchmark_app) · b=unknown	mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) undated

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 i5-1235U:

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No published semantic segmentation results for Intel Core i5-1235U 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

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No published speech-to-text results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Intel Core i5-1235U 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 Kria KV260 Vision AI Starter Kit (K26 SOM) or Intel Core i5-1235U 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.