NVIDIA Jetson Orin NX 16GB vs TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)

NVIDIA Jetson Orin NX module seated on a carrier motherboard, close-up at Computex 2025 — NVIDIA Jetson Orin NX module on a carrier board. Photo: 4300streetcar, CC BY 4.0, via Wikimedia Commons.

GATEOverflowmini-PCNo licensed photo yet

Showing the newest results per platform and source. 106 superseded older results are hidden.Showing all results, including 106 superseded by newer results from the same source.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

	NVIDIA Jetson Orin NX 16GB	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
Best image classification	2641 FPS D Older data (2023)	221 FPS B 2025-09-04 (published)
Power	n/a	34.18 W measured
Perf / W	n/a	6.45 FPS/W measured
Price	n/a	n/a
Workloads with data	4 of 7	1 of 7

Best published image classification result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only NVIDIA Jetson Orin NX 16GB has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	287 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published object detection results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) or NVIDIA Jetson Orin NX 16GB 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 Orin NX 16GB or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 Orin NX 16GB or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 mid-size CNN at batch unknown. Differs: model-size class mobile-class CNN vs mid-size CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	2641 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only MIXED: model-size class mobile-class CNN vs mid-size CNN	221 FPS throughput_offline · b=unknown	MLPerf resnet (open) / mobilenet-v1-precision_float-1.0-128 FP32 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mobile-class CNN	B	34.18 W measured reported in result source — measured	MLPerf Inference v5.1, open division 2025-09-04 (published)

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

semantic segmentation

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No published semantic segmentation results for NVIDIA Jetson Orin NX 16GB or TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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

Only NVIDIA Jetson Orin NX 16GB has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	432 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published speech-to-text results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) or NVIDIA Jetson Orin NX 16GB 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 Orin NX 16GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	11.00 tok/s generation_throughput · b=1	Nemotron Nano 9B V2 W4A16 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published LLM generation results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) or NVIDIA Jetson Orin NX 16GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

NVIDIA Jetson Orin NX 16GB is faster in the only like-for-like comparison (largest gap: image classification, 25.35×).

	NVIDIA Jetson Orin NX 16GB	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
Best image classification	2641 FPS D Older data (2023)	2798 FPS B Older data (2025)
Power	n/a	30.72 W measured
Perf / W	n/a	91.08 FPS/W measured
Price	n/a	n/a
Workloads with data	4 of 7	1 of 7

Best published image classification 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

Only NVIDIA Jetson Orin NX 16GB has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	287 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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instance segmentation

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pose estimation

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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.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	2641 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only	104 FPS throughput_offline · b=unknown	MLPerf resnet (open) / efficientnet-int8-lite0 INT8 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mid-size CNN	B	28.20 W measured reported in result source — measured	MLPerf Inference v5.0, open division Older data (2025)

semantic segmentation

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speech-to-text

Only NVIDIA Jetson Orin NX 16GB has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	432 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	unknown power n/a no power published	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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LLM generation

Only NVIDIA Jetson Orin NX 16GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	11.00 tok/s generation_throughput · b=1	Nemotron Nano 9B V2 W4A16 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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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.