NVIDIA Jetson AGX Orin 64GB vs Qualcomm Snapdragon X2 Elite (CRD)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| NVIDIA Jetson AGX Orin 64GB | Qualcomm Snapdragon X2 Elite (CRD) | |
|---|---|---|
| Best object detection | 435 FPS B 2026-10-13 (page last edited) | 1502 FPS D 2026-10-07 (published) |
| Power | 65.00 W spec | n/a |
| Perf / W | 6.69 FPS/W spec | n/a |
| Price | $3499 list | n/a |
| Workloads with data | 3 of 7 | 6 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 Orin 64GB | 435 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 65.00 W spec platform spec envelope (not measured with this result) | Ultralytics documentation (benchmark table) 2026-10-13 (page last edited) |
| Qualcomm Snapdragon X2 Elite (CRD) MIXED: model-size class unknown vs nano (YOLO-n) | 1502 FPS inference_time · b=1 | yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · unknown | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
No shared like-for-like group exists for this pair.
instance segmentation
Only Qualcomm Snapdragon X2 Elite (CRD) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 1311 FPS inference_time · b=1 | yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · unknown | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Snapdragon X2 Elite (CRD) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only Qualcomm Snapdragon X2 Elite (CRD) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 1855 FPS inference_time · b=1 | hrnet_pose w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Snapdragon X2 Elite (CRD) 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 Qualcomm Snapdragon X2 Elite (CRD) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 3953 FPS inference_time · b=1 | mobilenet_v2 w8a16 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published image classification results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Snapdragon X2 Elite (CRD) 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 |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 609 FPS inference_time · b=1 | deeplabv3_plus_mobilenet w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
| NVIDIA Jetson AGX Orin 64GB MIXED: model-size class unknown vs mobile-class CNN | 104 FPS throughput · b=1 | SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown | C | 65.00 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
Only Qualcomm Snapdragon X2 Elite (CRD) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 408 FPS inference_time · b=1 | whisper_base / decoder float · Qualcomm AI Hub precompiled_qnn_onnx (QAIRT 2.50.0.260828221209) · Whisper base | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published speech-to-text results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Snapdragon X2 Elite (CRD) 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 Orin 64GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 30.00 tok/s generation_throughput · b=1 | Qwen 3 8B W4A16 · vLLM · LLM 5–14B | C | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited) |
Qualcomm Snapdragon X2 Elite (CRD):
No published LLM generation results for Qualcomm Snapdragon X2 Elite (CRD) 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.
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| NVIDIA Jetson AGX Orin 64GB | Qualcomm Snapdragon X2 Elite (CRD) | |
|---|---|---|
| Best object detection | 435 FPS B 2026-10-13 (page last edited) | 1502 FPS D 2026-10-07 (published) |
| Power | 65.00 W spec | n/a |
| Perf / W | 6.69 FPS/W spec | n/a |
| Price | $3499 list | n/a |
| Workloads with data | 5 of 7 | 6 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 Orin 64GB | 435 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 65.00 W spec platform spec envelope (not measured with this result) | Ultralytics documentation (benchmark table) 2026-10-13 (page last edited) |
| Qualcomm Snapdragon X2 Elite (CRD) MIXED: model-size class unknown vs nano (YOLO-n) | 1502 FPS inference_time · b=1 | yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · unknown | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
No shared like-for-like group exists for this pair.
instance segmentation
Only Qualcomm Snapdragon X2 Elite (CRD) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 1311 FPS inference_time · b=1 | yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · unknown | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Snapdragon X2 Elite (CRD) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only Qualcomm Snapdragon X2 Elite (CRD) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 1855 FPS inference_time · b=1 | hrnet_pose w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or Qualcomm Snapdragon X2 Elite (CRD) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 3953 FPS inference_time · b=1 | mobilenet_v2 w8a16 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
| NVIDIA Jetson AGX Orin 64GB MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1 | 6424 FPS throughput_offline · b=unknown | MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
No shared like-for-like group exists for this pair.
semantic segmentation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 609 FPS inference_time · b=1 | deeplabv3_plus_mobilenet w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
| NVIDIA Jetson AGX Orin 64GB MIXED: model-size class unknown vs mobile-class CNN | 104 FPS throughput · b=1 | SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown | C | 65.00 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Snapdragon X2 Elite (CRD) | 408 FPS inference_time · b=1 | whisper_base / decoder float · Qualcomm AI Hub precompiled_qnn_onnx (QAIRT 2.50.0.260828221209) · Whisper base | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
| NVIDIA Jetson AGX Orin 64GB MIXED: model-size class RNN-T vs Whisper base; batch unknown vs 1 | 1170 FPS throughput_offline · b=unknown | MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T | D | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
No shared like-for-like group exists for this pair.
LLM generation
Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 30.00 tok/s generation_throughput · b=1 | Qwen 3 8B W4A16 · vLLM · LLM 5–14B | C | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited) |
Qualcomm Snapdragon X2 Elite (CRD):
No published LLM generation results for Qualcomm Snapdragon X2 Elite (CRD) 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.
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.