NVIDIA Jetson AGX Orin 64GB vs NVIDIA Jetson Orin Nano Super

Split result: NVIDIA Jetson AGX Orin 64GB is faster in 2 and NVIDIA Jetson Orin Nano Super in 1 of 3 like-for-like comparisons.
| NVIDIA Jetson AGX Orin 64GB | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best object detection | 435 FPS B 2026-10-13 (page last edited) | 263 FPS B 2026-10-13 (page last edited) |
| Power | 65.00 W spec | 25.00 W spec |
| Perf / W | 6.69 FPS/W spec | 10.53 FPS/W spec |
| Price | $3499 list | $249 list |
| Workloads with data | 3 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 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) |
| 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) |
| 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) |
| NVIDIA Jetson AGX Orin 64GB | 80.90 FPS throughput · b=1 | YOLO11s (640x640) INT8 · TensorRT (ONNX export) · small (YOLO-s) | C | 65.00 W spec platform spec envelope (not measured with this result) | arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published) |
instance segmentation
No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB 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 |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 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) |
| 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) |
speech-to-text
No published speech-to-text results for NVIDIA Jetson AGX Orin 64GB 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
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) |
NVIDIA Jetson Orin Nano Super:
No published LLM generation results for NVIDIA Jetson Orin Nano Super 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.
Split result: NVIDIA Jetson AGX Orin 64GB is faster in 2 and NVIDIA Jetson Orin Nano Super in 1 of 3 like-for-like comparisons.
| NVIDIA Jetson AGX Orin 64GB | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best object detection | 435 FPS B 2026-10-13 (page last edited) | 263 FPS B 2026-10-13 (page last edited) |
| Power | 65.00 W spec | 25.00 W spec |
| Perf / W | 6.69 FPS/W spec | 10.53 FPS/W spec |
| Price | $3499 list | $249 list |
| Workloads with data | 5 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 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) |
| 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) |
| 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) |
| NVIDIA Jetson AGX Orin 64GB | 80.90 FPS throughput · b=1 | YOLO11s (640x640) INT8 · TensorRT (ONNX export) · small (YOLO-s) | C | 65.00 W spec platform spec envelope (not measured with this result) | arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published) |
instance segmentation
No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 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) |
NVIDIA Jetson Orin Nano Super:
No published image classification results for NVIDIA Jetson Orin Nano Super 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.
semantic segmentation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 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) |
| 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) |
speech-to-text
Only NVIDIA Jetson AGX Orin 64GB has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 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) |
NVIDIA Jetson Orin Nano Super:
No published speech-to-text results for NVIDIA Jetson Orin Nano Super 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.
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) |
NVIDIA Jetson Orin Nano Super:
No published LLM generation results for NVIDIA Jetson Orin Nano Super 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.