NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) vs NVIDIA Jetson AGX Orin 64GB
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) | NVIDIA Jetson AGX Orin 64GB | |
|---|---|---|
| Best speech-to-text | 49327 FPS A 2026-04-01 (published) | n/a |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | $3499 list |
| Workloads with data | 1 of 7 | 3 of 7 |
Best published speech-to-text result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only NVIDIA Jetson AGX Orin 64GB has published object detection results.
| 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 DGX B200 (8x NVIDIA B200-SXM-180GB):
No published object detection results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
instance segmentation
No published instance segmentation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
pose estimation
No published pose estimation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
image classification
No published image classification results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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
Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.
| 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 DGX B200 (8x NVIDIA B200-SXM-180GB):
No published semantic segmentation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
speech-to-text
Only NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) | 49327 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.0, closed division, data-centre suite 2026-04-01 (published) |
NVIDIA Jetson AGX Orin 64GB:
No published speech-to-text results for NVIDIA Jetson AGX Orin 64GB or NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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 DGX B200 (8x NVIDIA B200-SXM-180GB):
No published LLM generation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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 DGX B200 (8x NVIDIA B200-SXM-180GB) | NVIDIA Jetson AGX Orin 64GB | |
|---|---|---|
| Best speech-to-text | 49327 FPS A 2026-04-01 (published) | 1170 FPS D Older data (2023) |
| Power | n/a | 65.00 W spec |
| Perf / W | n/a | 18.00 FPS/W spec |
| Price | n/a | $3499 list |
| Workloads with data | 1 of 7 | 5 of 7 |
Best published speech-to-text result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only NVIDIA Jetson AGX Orin 64GB has published object detection results.
| 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 DGX B200 (8x NVIDIA B200-SXM-180GB):
No published object detection results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
instance segmentation
No published instance segmentation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
pose estimation
No published pose estimation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
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 DGX B200 (8x NVIDIA B200-SXM-180GB):
No published image classification results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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
Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.
| 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 DGX B200 (8x NVIDIA B200-SXM-180GB):
No published semantic segmentation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.
speech-to-text
| 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 DGX B200 (8x NVIDIA B200-SXM-180GB) MIXED: model-size class unknown vs RNN-T | 49327 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.0, closed division, data-centre suite 2026-04-01 (published) |
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) |
NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB):
No published LLM generation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.