Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best semantic segmentation | 5.24 FPS D Older data (2020) | 67.47 FPS C 2026-08-02 (published) |
| Power | n/a | 25.00 W spec |
| Perf / W | n/a | 2.70 FPS/W spec |
| Price | n/a | $249 list |
| Workloads with data | 1 of 7 | 2 of 7 |
Best published semantic segmentation 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) |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published object detection results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 5.24 FPS inference_time · b=1 | Unet Mv2 (128x128) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
| NVIDIA Jetson Orin Nano Super MIXED: model-size class unknown vs mid-size CNN | 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) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best object detection | 3.55 FPS D Older data (2019) | 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 | 3 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
| 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) |
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only MIXED: model-size class mobile-class CNN vs nano (YOLO-n) | 3.55 FPS inference_time · b=1 | MobileNet v2 SSD (224x224) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
Only Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 0.570 FPS inference_time · b=1 | ResNet-50 V1 (299x299) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
NVIDIA Jetson Orin Nano Super:
No published image classification results for NVIDIA Jetson Orin Nano Super or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 5.24 FPS inference_time · b=1 | Unet Mv2 (128x128) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
| NVIDIA Jetson Orin Nano Super MIXED: model-size class unknown vs mid-size CNN | 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) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.