Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs AMD Kria KV260 Vision AI Starter Kit (K26 SOM)

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.

AlteraFPGA (PCIe/dev kit)No licensed photo yet

AMDSOM starter 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.

	Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)	AMD Kria KV260 Vision AI Starter Kit (K26 SOM)
Best image classification	182 FPS D 2026-08-10 (published)	2432 FPS D Older data (2023)
Power	n/a	7.50 W spec
Perf / W	n/a	324 FPS/W spec
Price	n/a	n/a
Workloads with data	1 of 7	4 of 7

Best published image classification result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only AMD Kria KV260 Vision AI Starter Kit (K26 SOM) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published object detection results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

instance segmentation

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No published instance segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published pose estimation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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

⚠ 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
Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)	182 FPS throughput · b=1	ResNet18 (PyTorch) not stated in table · FPGA AI Suite on-chip parameter streaming; IP throughput · mid-size CNN	D	unknown power n/a no power published	Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published)
AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: model-size class mobile-class CNN vs mid-size CNN; 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

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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published semantic segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

LLM generation

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No published LLM generation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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.

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.