G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) vs NVIDIA Jetson Orin Nano Super
Only NVIDIA Jetson Orin Nano Super has published results here; G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) has none for the workloads we track.
| G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best object detection | n/a | 263 FPS B 2026-10-13 (page last edited) |
| Power | n/a | 25.00 W spec |
| Perf / W | n/a | 10.53 FPS/W spec |
| Price | n/a | $249 list |
| Workloads with data | 0 of 7 | 2 of 7 |
Best published object detection 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 spec reported in result source — spec | Ultralytics documentation (benchmark table) 2026-10-13 (page last edited) |
G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB):
No published object detection results for G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 spec platform spec envelope (not measured with this result) | arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published) |
G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB):
No published semantic segmentation results for G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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
No published LLM generation results for G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.
How to read these numbers
Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.