HWBenchedge-AI hardware data, cited & graded

AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs Raspberry Pi 5 (CPU only)

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 photo yet
No licensed photo available — placeholder drawing.
Raspberry Pi 5 single-board computer, top view, showing the Broadcom SoC, RAM, USB and Ethernet ports
Raspberry Pi 5. Photo: SimonWaldherr, CC BY 4.0, via Wikimedia Commons.

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)Raspberry Pi 5 (CPU only)
Best object detection276 FPS D
Older data (2023)
14.92 FPS B
undated
Power7.50 W specn/a
Perf / W36.76 FPS/W specn/a
Pricen/an/a
Workloads with data4 of 74 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 nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only14.92 FPS
inference_time · b=1
YOLO26n
FP32/default · Ultralytics NCNN · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs benchmark table
undated
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)
MIXED: model-size class unknown vs nano (YOLO-n); 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
D7.50 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

◌

No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Raspberry Pi 5 (CPU only) 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) · unknown
D7.50 W spec
reported in result source — spec
Vitis AI 3.0 Model Zoo performance table
Older data (2023)

Raspberry Pi 5 (CPU only):

◌

No published pose estimation results for Raspberry Pi 5 (CPU only) 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 nano (YOLO-n) at batch 1. Differs: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only29.59 FPS
inference_time · b=1
YOLO26n-cls
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)
MIXED: model-size class mobile-class CNN vs nano (YOLO-n); 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
D7.50 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 nano (YOLO-n) at batch 1. Differs: model-size class mid-size CNN vs nano (YOLO-n); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 FPS
inference_time · b=1
YOLO26n-sem
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)
AMD Kria KV260 Vision AI Starter Kit (K26 SOM)
MIXED: model-size class mid-size CNN vs nano (YOLO-n); 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
D7.50 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

◌

No published speech-to-text results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only Raspberry Pi 5 (CPU only) has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 tok/s
generation_throughput · b=1
DeepSeek R1 14b
as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B
C13.00 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated

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

◌

No published LLM generation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or Raspberry Pi 5 (CPU only) 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.