Minisforum MS-R1 (as tested by Jeff Geerling) vs NVIDIA Jetson Orin NX 16GB
Minisforum MS-R1 (as tested by Jeff Geerling) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 3.14×).
| Minisforum MS-R1 (as tested by Jeff Geerling) | NVIDIA Jetson Orin NX 16GB | |
|---|---|---|
| Best LLM generation | 71.36 tok/s C 2025-11-10 (page last edited) | 65.00 tok/s C 2026-07-21 (page last edited) |
| Power | n/a | 40.00 W Module TDP, Module, max of range 10-40 W |
| Perf / W | n/a | 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) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published object detection results for Minisforum MS-R1 (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
No published instance segmentation results for Minisforum MS-R1 (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
No published pose estimation results for Minisforum MS-R1 (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) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published image classification results for Minisforum MS-R1 (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
No published semantic segmentation results for Minisforum MS-R1 (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) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published speech-to-text results for Minisforum MS-R1 (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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Minisforum MS-R1 (as tested by Jeff Geerling) | 34.52 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 | unknown power not published not published | Jeff Geerling ai-benchmarks issue results (comments) 2025-11-10 (page last edited) |
| 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) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Minisforum MS-R1 (as tested by Jeff Geerling) | 71.36 tok/s generation_throughput · b=1 | llama3.2:3b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B | C | unknown power not published not published | Jeff Geerling ai-benchmarks issue results (comments) 2025-11-10 (page last edited) |
| 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) |
Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON