HWBenchedge-AI hardware data, cited & graded

HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) vs NVIDIA Jetson AGX Thor

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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 AGX Thor
Best speech-to-text18889 FPS A
undated
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/a$3499 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 AGX Thor has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor719 FPS
inference_time · b=1
YOLO26n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B130 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
undated

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

◌

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

semantic segmentation

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No published semantic segmentation results for HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) or NVIDIA Jetson AGX Thor 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, datacenter) ID 6.0-0044
undated

NVIDIA Jetson AGX Thor:

◌

No published speech-to-text results for NVIDIA Jetson AGX Thor 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

Only NVIDIA Jetson AGX Thor has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Thor45.00 tok/s
tok/s gen, concurrency 1 · b=1
Qwen2.5-VL 7B
n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B
D130 W spec
platform spec envelope (not measured with this result)
NVIDIA Jetson Benchmarks
undated

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

◌

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