HWBenchedge-AI hardware data, cited & graded

AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs NVIDIA DGX Spark

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.
NVIDIA DGX Spark desktop AI computer, gold metal-foam chassis, oblique view on a wooden table
NVIDIA DGX Spark. Photo: Daniel Lu (User:dllu), CC BY-SA 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)NVIDIA DGX Spark
Best object detection276 FPS D
Older data (2023)
990 FPS B
undated
Power7.50 W spec153 W spec
Perf / W36.76 FPS/W spec6.47 FPS/W spec
Pricen/a$4699 list
Workloads with data4 of 72 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
NVIDIA DGX Spark990 FPS
inference_time · b=1
YOLO11n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B153 W spec
platform spec envelope (not measured with this result)
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 NVIDIA DGX Spark 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)

NVIDIA DGX Spark:

◌

No published pose estimation results for NVIDIA DGX Spark 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

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

PlatformResultModel · precision · stackGradePowerSource
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)

NVIDIA DGX Spark:

◌

No published image classification results for NVIDIA DGX Spark 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.

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)

NVIDIA DGX Spark:

◌

No published semantic segmentation results for NVIDIA DGX Spark 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

◌

No published speech-to-text results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) or NVIDIA DGX Spark 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 NVIDIA DGX Spark has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark60.39 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B
C153 W spec
platform spec envelope (not measured with this result)
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10

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 NVIDIA DGX Spark 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.