Intel Core Ultra 7 155H (Meteor Lake) vs NVIDIA Jetson Orin Nano Super
NVIDIA Jetson Orin Nano Super is faster in all 2 like-for-like comparisons (largest gap: object detection, 1.52×).
| Intel Core Ultra 7 155H (Meteor Lake) | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best object detection | 173 FPS C 2026-09-27 (page last edited) | 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 | 1 of 7 | 2 of 7 |
Best published object detection 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
| 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) |
| Intel Core Ultra 7 155H (Meteor Lake) | 173 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n) | C | unknown power n/a no power published | Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin Nano Super | 146 FPS throughput · b=1 | YOLO11s (640x640) INT8 · TensorRT (ONNX export) · small (YOLO-s) | C | 25.00 W spec platform spec envelope (not measured with this result) | arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published) |
| Intel Core Ultra 7 155H (Meteor Lake) | 108 FPS inference_time · b=1 | YOLO26s INT8 · Ultralytics + OpenVINO 2026.2.1 · small (YOLO-s) | C | unknown power n/a no power published | Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited) |
instance segmentation
No published instance segmentation results for Intel Core Ultra 7 155H (Meteor Lake) 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 Intel Core Ultra 7 155H (Meteor Lake) 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 Intel Core Ultra 7 155H (Meteor Lake) 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) |
Intel Core Ultra 7 155H (Meteor Lake):
No published semantic segmentation results for Intel Core Ultra 7 155H (Meteor Lake) 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 Intel Core Ultra 7 155H (Meteor Lake) 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 Intel Core Ultra 7 155H (Meteor Lake) 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.