AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs MemryX MX3 M.2 module

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.

AMDSOM starter kit (adaptive SoC)No licensed photo yet

MemryXedge accelerator cardNo 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.

	AMD Kria KV260 Vision AI Starter Kit (K26 SOM)	MemryX MX3 M.2 module
Best object detection	276 FPS D Older data (2023)	8519 FPS C 2026-07-15 (published)
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	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

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class unknown vs mobile-class CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
MemryX MX3 M.2 module	2391 FPS throughput · b=1	MediaPipe-object-Detection-3d-camera not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN	C	unknown power n/a no power published	MemryX Model Explorer (SDK 2.2) 2026-07-15 (published)
AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: model-size class unknown vs mobile-class CNN; batch unknown vs 1	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)

No shared like-for-like group exists for this pair.

instance segmentation

Only MemryX MX3 M.2 module has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
MemryX MX3 M.2 module	1023 FPS throughput · b=1	YOLO26-nano-seg not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown	C	unknown power n/a no power published	MemryX Model Explorer (SDK 2.2) 2026-07-15 (published)

AMD Kria KV260 Vision AI Starter Kit (K26 SOM):

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No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or MemryX MX3 M.2 module yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
MemryX MX3 M.2 module	2721 FPS throughput · b=1	MoveNet.SinglePose.Lightning not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN	C	unknown power n/a no power published	MemryX Model Explorer (SDK 2.2) 2026-07-15 (published)
AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: 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

⚠ 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
MemryX MX3 M.2 module	2317 FPS throughput · b=1	ResNet-50 (MXA-Optimized) not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mid-size CNN	C	unknown power n/a no power published	MemryX Model Explorer (SDK 2.2) 2026-07-15 (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

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
MemryX MX3 M.2 module	1998 FPS throughput · b=1	Deeplab-v3 not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mid-size CNN	C	unknown power n/a no power published	MemryX Model Explorer (SDK 2.2) 2026-07-15 (published)
AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: 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

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No published speech-to-text results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or MemryX MX3 M.2 module 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 MemryX MX3 M.2 module 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.