Minisforum MS-R1 (as tested by Jeff Geerling) vs NVIDIA Jetson Orin Nano Super
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Minisforum MS-R1 (as tested by Jeff Geerling) | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best LLM generation | 71.36 tok/s C 2025-11-10 (page last edited) | n/a |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | $249 list |
| Workloads with data | 1 of 7 | 2 of 7 |
Best published LLM generation 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 Nano Super has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin Nano Super | 263 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 25.00 W Module TDP, Module reported in result source — Module TDP, Module | 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 Nano Super 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 Nano Super 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 Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
No published image classification results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA Jetson Orin Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
Only NVIDIA Jetson Orin Nano Super has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin Nano Super | 67.47 FPS throughput · b=1 | SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown | C | 25.00 W Module TDP, Module, max of range 7-25 W reported in result source — Module TDP, Module, max of range 7-25 W | arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published semantic segmentation results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA Jetson Orin Nano Super 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
No published speech-to-text results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA Jetson Orin Nano Super 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 Minisforum MS-R1 (as tested by Jeff Geerling) has published LLM generation results.
| 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 Nano Super:
No published LLM generation results for NVIDIA Jetson Orin Nano Super or Minisforum MS-R1 (as tested by Jeff Geerling) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON