NVIDIA Jetson AGX Orin 64GB vs Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 3.76×).
| NVIDIA Jetson AGX Orin 64GB | Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | |
|---|---|---|
| Best LLM generation | 273 tok/s C 2026-07-21 (page last edited) | 214 tok/s C 2025-05-06 (page last edited) |
| Power | 60.00 W Module TDP, Module, max of range 15-60 W | 320 W ● Measured, Whole system |
| Perf / W | 4.55 tok/s/W Module TDP, Module, max of range 15-60 W | 0.669 tok/s/W ● Measured, Whole system |
| Price | $3499 list | n/a |
| Workloads with data | 3 of 7 | 1 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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published object detection results for Radxa Oryon O6 Mini ITX Board (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 NVIDIA Jetson AGX Orin 64GB or Radxa Oryon O6 Mini ITX Board (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.
pose estimation
No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or Radxa Oryon O6 Mini ITX Board (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.
image classification
No published image classification results for NVIDIA Jetson AGX Orin 64GB or Radxa Oryon O6 Mini ITX Board (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.
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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (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 NVIDIA Jetson AGX Orin 64GB or Radxa Oryon O6 Mini ITX Board (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.
LLM generation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | 113 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 | 471 W ● Measured, Whole system reported in result source — Measured, Whole system | Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (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 |
|---|---|---|---|---|---|
| Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | 214 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 | 320 W ● Measured, Whole system reported in result source — Measured, Whole system | Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 3.76×).
| NVIDIA Jetson AGX Orin 64GB | Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | |
|---|---|---|
| Best LLM generation | 273 tok/s C 2026-07-21 (page last edited) | 214 tok/s C 2025-05-06 (page last edited) |
| Power | 60.00 W Module TDP, Module, max of range 15-60 W | 320 W ● Measured, Whole system |
| Perf / W | 4.55 tok/s/W Module TDP, Module, max of range 15-60 W | 0.669 tok/s/W ● Measured, Whole system |
| Price | $3499 list | n/a |
| Workloads with data | 5 of 7 | 1 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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published object detection results for Radxa Oryon O6 Mini ITX Board (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 NVIDIA Jetson AGX Orin 64GB or Radxa Oryon O6 Mini ITX Board (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.
pose estimation
No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or Radxa Oryon O6 Mini ITX Board (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.
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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published image classification results for Radxa Oryon O6 Mini ITX Board (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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (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) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published speech-to-text results for Radxa Oryon O6 Mini ITX Board (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 |
|---|---|---|---|---|---|
| Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | 113 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 | 471 W ● Measured, Whole system reported in result source — Measured, Whole system | Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (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 |
|---|---|---|---|---|---|
| Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | 214 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 | 320 W ● Measured, Whole system reported in result source — Measured, Whole system | Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (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