Intel Core Ultra 7 155H vs NVIDIA Jetson AGX Thor
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Intel Core Ultra 7 155H | NVIDIA Jetson AGX Thor | |
|---|---|---|
| Best object detection | 399 FPS D undated | 719 FPS B undated |
| Power | n/a | 130 W spec |
| Perf / W | n/a | 5.53 FPS/W spec |
| Price | n/a | $3499 list |
| Workloads with data | 2 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 AGX Thor | 719 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics TensorRT · nano (YOLO-n) | B | 130 W spec platform spec envelope (not measured with this result) | Ultralytics docs benchmark table undated |
| Intel Core Ultra 7 155H MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1 | 399 FPS throughput (OpenVINO benchmark_app) · b=unknown | yolo_v8n INT8 · OpenVINO 2026.4.1 · unknown | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) undated |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for Intel Core Ultra 7 155H or NVIDIA Jetson AGX Thor 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 or NVIDIA Jetson AGX Thor 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 Intel Core Ultra 7 155H has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Core Ultra 7 155H CPU-only | 4952 FPS throughput (OpenVINO benchmark_app) · b=unknown | mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) undated |
NVIDIA Jetson AGX Thor:
No published image classification results for NVIDIA Jetson AGX Thor or Intel Core Ultra 7 155H yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for Intel Core Ultra 7 155H or NVIDIA Jetson AGX Thor 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 or NVIDIA Jetson AGX Thor yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
Only NVIDIA Jetson AGX Thor has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Thor | 45.00 tok/s tok/s gen, concurrency 1 · b=1 | Qwen2.5-VL 7B n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B | D | 130 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks undated |
Intel Core Ultra 7 155H:
No published LLM generation results for Intel Core Ultra 7 155H or NVIDIA Jetson AGX Thor 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.