HWBenchedge-AI hardware data, cited & graded

NVIDIA Jetson AGX Thor vs Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)

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Only NVIDIA Jetson AGX Thor has published results here; Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) has none for the workloads we track.

NVIDIA Jetson AGX ThorTerasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)
Best object detection719 FPS B
undated
n/a
Power130 W specn/a
Perf / W5.53 FPS/W specn/a
Price$3499 listn/a
Workloads with data2 of 70 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

Only NVIDIA Jetson AGX Thor has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor719 FPS
inference_time · b=1
YOLO26n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B130 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
undated

Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite):

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No published object detection results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) or NVIDIA Jetson AGX Thor 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 NVIDIA Jetson AGX Thor or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for NVIDIA Jetson AGX Thor or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

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No published image classification results for NVIDIA Jetson AGX Thor or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for NVIDIA Jetson AGX Thor or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 NVIDIA Jetson AGX Thor or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Jetson AGX Thor has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor45.00 tok/s
tok/s gen, concurrency 1 · b=1
Qwen2.5-VL 7B
n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B
D130 W spec
platform spec envelope (not measured with this result)
NVIDIA Jetson Benchmarks
undated

Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite):

◌

No published LLM generation results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) or NVIDIA Jetson AGX Thor 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.