Minisforum MS-R1 (as tested by Jeff Geerling) vs NVIDIA Jetson AGX Orin 64GB
Minisforum MS-R1 (as tested by Jeff Geerling) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 1.19×).
| Minisforum MS-R1 (as tested by Jeff Geerling) | NVIDIA Jetson AGX Orin 64GB | |
|---|---|---|
| Best LLM generation | 71.36 tok/s C 2025-11-10 (page last edited) | 273 tok/s C 2026-07-21 (page last edited) |
| Power | n/a | 60.00 W Module TDP, Module, max of range 15-60 W |
| Perf / W | n/a | 4.55 tok/s/W Module TDP, Module, max of range 15-60 W |
| Price | n/a | $3499 list |
| Workloads with data | 1 of 7 | 3 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 AGX Orin 64GB has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 435 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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 AGX Orin 64GB 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 AGX Orin 64GB 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 AGX Orin 64GB 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 AGX Orin 64GB 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 AGX Orin 64GB has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 104 FPS throughput · b=1 | SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown | C | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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 AGX Orin 64GB 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 AGX Orin 64GB 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 AGX Orin 64GB | 30.00 tok/s generation_throughput · b=1 | Qwen 3 8B W4A16 · vLLM · LLM 5–14B | C | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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 AGX Orin 64GB | 60.00 tok/s generation_throughput · b=1 | Qwen3-VL-2B W4A16 · vLLM · LLM ≤4B | C | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 W | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited) |
Minisforum MS-R1 (as tested by Jeff Geerling) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 1.19×).
| Minisforum MS-R1 (as tested by Jeff Geerling) | NVIDIA Jetson AGX Orin 64GB | |
|---|---|---|
| Best LLM generation | 71.36 tok/s C 2025-11-10 (page last edited) | 273 tok/s C 2026-07-21 (page last edited) |
| Power | n/a | 60.00 W Module TDP, Module, max of range 15-60 W |
| Perf / W | n/a | 4.55 tok/s/W Module TDP, Module, max of range 15-60 W |
| Price | n/a | $3499 list |
| Workloads with data | 1 of 7 | 5 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 AGX Orin 64GB has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 435 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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 AGX Orin 64GB 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 AGX Orin 64GB 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 AGX Orin 64GB 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 AGX Orin 64GB has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 6424 FPS throughput_offline · b=unknown | MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | unknown power not published not published | 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 AGX Orin 64GB 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 AGX Orin 64GB has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 104 FPS throughput · b=1 | SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown | C | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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 AGX Orin 64GB 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 AGX Orin 64GB has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 1170 FPS throughput_offline · b=unknown | MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T | D | unknown power not published not published | 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 AGX Orin 64GB 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 AGX Orin 64GB | 30.00 tok/s generation_throughput · b=1 | Qwen 3 8B W4A16 · vLLM · LLM 5–14B | C | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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 AGX Orin 64GB | 60.00 tok/s generation_throughput · b=1 | Qwen3-VL-2B W4A16 · vLLM · LLM ≤4B | C | 60.00 W Module TDP, Module, max of range 15-60 W reported in result source — Module TDP, Module, max of range 15-60 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