HWBench

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

NVIDIA Jetson AGX Orin developer kit with its retail box, on a black background
NVIDIA Jetson AGX Orin developer kit. Photo: Auledas, CC BY 4.0, via Wikimedia Commons.
Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.

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 64GBNVIDIA Jetson Orin Nano Super
Best object detection435 FPS B
2026-10-13 (page last edited)
263 FPS B
2026-10-13 (page last edited)
Power65.00 W spec25.00 W spec
Perf / W6.69 FPS/W spec10.53 FPS/W spec
Price$3499 list$249 list
Workloads with data3 of 72 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B65.00 W spec
platform spec envelope (not measured with this result)
Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
NVIDIA Jetson Orin Nano Super263 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B25.00 W spec
reported in result source — spec
Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson Orin Nano Super146 FPS
throughput · b=1
YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
NVIDIA Jetson AGX Orin 64GB80.90 FPS
throughput · b=1
YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)
C65.00 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

✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB104 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C65.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
NVIDIA Jetson Orin Nano Super67.47 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C25.00 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.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1
Qwen 3 8B
W4A16 · vLLM · LLM 5–14B
C65.00 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 64GBNVIDIA Jetson Orin Nano Super
Best object detection435 FPS B
2026-10-13 (page last edited)
263 FPS B
2026-10-13 (page last edited)
Power65.00 W spec25.00 W spec
Perf / W6.69 FPS/W spec10.53 FPS/W spec
Price$3499 list$249 list
Workloads with data5 of 72 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B65.00 W spec
platform spec envelope (not measured with this result)
Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
NVIDIA Jetson Orin Nano Super263 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B25.00 W spec
reported in result source — spec
Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson Orin Nano Super146 FPS
throughput · b=1
YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
NVIDIA Jetson AGX Orin 64GB80.90 FPS
throughput · b=1
YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)
C65.00 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.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB6424 FPS
throughput_offline · b=unknown
MLPerf ResNet
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN
D65.00 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

✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB104 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C65.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
NVIDIA Jetson Orin Nano Super67.47 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C25.00 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.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB1170 FPS
throughput_offline · b=unknown
MLPerf RNN-T
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T
D65.00 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.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1
Qwen 3 8B
W4A16 · vLLM · LLM 5–14B
C65.00 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
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

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.