HWBench

HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) vs NVIDIA Jetson Orin Nano Super

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition)NVIDIA Jetson Orin Nano Super
Best speech-to-text18889 FPS A
2026-04-01 (published)
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/a$249 list
Workloads with data1 of 72 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 Orin Nano Super has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
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)

HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition):

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No published object detection results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) 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.

instance segmentation

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No published instance segmentation results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) 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

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No published pose estimation results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) 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

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No published image classification results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) 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

Only NVIDIA Jetson Orin Nano Super has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
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)

HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition):

◌

No published semantic segmentation results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) 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.

speech-to-text

Only HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) has published speech-to-text results.

PlatformResultModel · precision · stackGradePowerSource
HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition)18889 FPS
throughput_offline · b=unknown
MLPerf whisper
fp4 · TensorRT 10.11.0.33, CUDA 13.0 · unknown
Aunknown power n/a
no power published
MLPerf Inference v6.0, closed division, data-centre suite
2026-04-01 (published)

NVIDIA Jetson Orin Nano Super:

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No published speech-to-text results for NVIDIA Jetson Orin Nano Super or HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) 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.

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.