HWBenchedge-AI hardware data, cited & graded

AMD Ryzen AI processor (SKU not stated) vs NVIDIA Jetson AGX Thor

AMDAI PC · no photo yet
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NVIDIAedge reference · no photo yet
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No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

AMD Ryzen AI processor (SKU not stated)NVIDIA Jetson AGX Thor
Best object detection144 FPS D
2025 (year only)
719 FPS B
undated
Powern/a130 W spec
Perf / Wn/a5.53 FPS/W spec
Pricen/a$3499 list
Workloads with data1 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).
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
AMD Ryzen AI processor (SKU not stated)
MIXED: model-size class unknown vs nano (YOLO-n)
144 FPS
latency · b=1
Yolo face v8n-v2 (AMD custom single-class YOLO)
A8W8 (Quark) · ONNX Runtime + Vitis AI EP (Ryzen AI SW) · unknown
Dunknown power n/a
no power published
AMD technical article: AI inference acceleration on Ryzen AI with Quark (Table 5)
2025 (year only)

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

instance segmentation

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No published instance segmentation results for AMD Ryzen AI processor (SKU not stated) 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.

pose estimation

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No published pose estimation results for AMD Ryzen AI processor (SKU not stated) 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.

image classification

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No published image classification results for AMD Ryzen AI processor (SKU not stated) 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.

semantic segmentation

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No published semantic segmentation results for AMD Ryzen AI processor (SKU not stated) 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.

speech-to-text

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No published speech-to-text results for AMD Ryzen AI processor (SKU not stated) 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.

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

AMD Ryzen AI processor (SKU not stated):

◌

No published LLM generation results for AMD Ryzen AI processor (SKU not stated) 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.