HWBench

AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs Intel Core Ultra 7 155H

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.

Intel Core Ultra 7 155H is faster in all 4 like-for-like comparisons (largest gap: image classification, 4.57×).

AMD Kria KV260 Vision AI Starter Kit (K26 SOM)Intel Core Ultra 7 155H
Best object detection276 FPS D
Older data (2023)
399 FPS D
2026-10-01 (published)
Power7.50 W specn/a
Perf / W36.76 FPS/W specn/a
Pricen/an/a
Workloads with data4 of 72 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.
PlatformResultModel · precision · stackGradePowerSource
Intel Core Ultra 7 155H20.58 FPS
throughput (OpenVINO benchmark_app) · b=unknown
ssd-resnet34-1200
INT8 · OpenVINO 2026.4.1 · mid-size CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
2026-10-01 (published)
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
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)
✓ Like-for-like: model-size class unknown, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Intel Core Ultra 7 155H399 FPS
throughput (OpenVINO benchmark_app) · b=unknown
yolo_v8n
INT8 · OpenVINO 2026.4.1 · unknown
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
2026-10-01 (published)
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
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

instance segmentation

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No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Intel Core Ultra 7 155H 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.

PlatformResultModel · precision · stackGradePowerSource
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
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

Intel Core Ultra 7 155H:

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No published pose estimation results for Intel Core Ultra 7 155H 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.
PlatformResultModel · precision · stackGradePowerSource
Intel Core Ultra 7 155H CPU-only980 FPS
throughput (OpenVINO benchmark_app) · b=unknown
resnet-50
INT8 · OpenVINO 2026.4.1 · mid-size CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
2026-10-01 (published)
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
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)
✓ 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.
PlatformResultModel · precision · stackGradePowerSource
Intel Core Ultra 7 155H CPU-only4952 FPS
throughput (OpenVINO benchmark_app) · b=unknown
mobilenet-v2
INT8 · OpenVINO 2026.4.1 · mobile-class CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
2026-10-01 (published)
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
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

semantic segmentation

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

PlatformResultModel · precision · stackGradePowerSource
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
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

Intel Core Ultra 7 155H:

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No published semantic segmentation results for Intel Core Ultra 7 155H 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 Ultra 7 155H 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 Ultra 7 155H 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.