Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) vs NVIDIA Jetson Orin NX 16GB

(independent test)independent test systemNo licensed photo yet

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.

Showing the newest results per platform and source. 6 superseded older results are hidden.Showing all results, including 6 superseded by newer results from the same source.

NVIDIA Jetson Orin NX 16GB is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 2.81×).

	Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)	NVIDIA Jetson Orin NX 16GB
Best LLM generation	17.99 tok/s C Older data (2025)	65.00 tok/s C 2026-07-21 (page last edited)
Power	29.90 W ● Measured, Whole system	40.00 W Module TDP, Module, max of range 10-40 W
Perf / W	0.602 tok/s/W ● Measured, Whole system	1.63 tok/s/W Module TDP, Module, max of range 10-40 W
Price	n/a	n/a
Workloads with data	1 of 7	4 of 7

Best published LLM generation 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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)

Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling):

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No published object detection results for Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) 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 Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) 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.

pose estimation

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No published pose estimation results for Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) 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.

image classification

Only NVIDIA Jetson Orin NX 16GB has published image classification results.

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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling):

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No published image classification results for Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) 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.

semantic segmentation

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No published semantic segmentation results for Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) 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.

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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling):

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No published speech-to-text results for Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling) 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

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.

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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)
Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)	3.91 tok/s generation_throughput · b=1	llama3.1:8b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B	C	29.80 W ● Measured, Whole system reported in result source — Measured, Whole system	Jeff Geerling ai-benchmarks issue results (comments) Older data (2025)

✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	25.00 tok/s generation_throughput · b=1	Cosmos Reasoning 2 2B W4A16 · vLLM · LLM ≤4B	C	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)
Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)	17.99 tok/s generation_throughput · b=1	deepseek-r1:1.5b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B	C	29.90 W ● Measured, Whole system reported in result source — Measured, Whole system	Jeff Geerling ai-benchmarks issue results (comments) Older data (2025)

NVIDIA Jetson Orin NX 16GB is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 2.81×).

	Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)	NVIDIA Jetson Orin NX 16GB
Best LLM generation	17.99 tok/s C Older data (2025)	65.00 tok/s C 2026-07-21 (page last edited)
Power	29.90 W ● Measured, Whole system	40.00 W Module TDP, Module, max of range 10-40 W
Perf / W	0.602 tok/s/W ● Measured, Whole system	1.63 tok/s/W Module TDP, Module, max of range 10-40 W
Price	n/a	n/a
Workloads with data	1 of 7	4 of 7

Best published LLM generation 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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)

Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling):

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instance segmentation

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pose estimation

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image classification

Only NVIDIA Jetson Orin NX 16GB has published image classification results.

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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling):

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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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling):

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LLM generation

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.

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	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)
Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)	3.91 tok/s generation_throughput · b=1	llama3.1:8b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B	C	29.80 W ● Measured, Whole system reported in result source — Measured, Whole system	Jeff Geerling ai-benchmarks issue results (comments) Older data (2025)

✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Orin NX 16GB	25.00 tok/s generation_throughput · b=1	Cosmos Reasoning 2 2B W4A16 · vLLM · LLM ≤4B	C	40.00 W Module TDP, Module, max of range 10-40 W reported in result source — Module TDP, Module, max of range 10-40 W	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)
Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)	17.99 tok/s generation_throughput · b=1	deepseek-r1:1.5b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B	C	29.90 W ● Measured, Whole system reported in result source — Measured, Whole system	Jeff Geerling ai-benchmarks issue results (comments) Older data (2025)

Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON