HPE ProLiant DL145 Gen11 (1x NVIDIA RTX PRO 4500 Blackwell): edge AI benchmarks
Best published result per workload, across model sizes — open “Show data” for like-for-like groups.
Show data — per-workload tables
object detection
No published object detection results for HPE ProLiant DL145 Gen11 (1x NVIDIA RTX PRO 4500 Blackwell) 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 HPE ProLiant DL145 Gen11 (1x NVIDIA RTX PRO 4500 Blackwell) 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 HPE ProLiant DL145 Gen11 (1x NVIDIA RTX PRO 4500 Blackwell) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Like-for-like group | Best result | Model · precision · stack | Grade | Power | Source · date | Rank in group |
|---|---|---|---|---|---|---|
| mid-size CNN · b=unknown | 19211 FPS | MLPerf resnet int8 · TensorRT 10.11.0.33, CUDA 13.0 | A | unknown power n/a | MLPerf Inference v6.0 (closed, edge) ID 6.0-0055 undated | 6 of 41 |
semantic segmentation
No published semantic segmentation results for HPE ProLiant DL145 Gen11 (1x NVIDIA RTX PRO 4500 Blackwell) 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
| Like-for-like group | Best result | Model · precision · stack | Grade | Power | Source · date | Rank in group |
|---|---|---|---|---|---|---|
| unknown · b=unknown | 917 FPS | MLPerf whisper fp16 · TensorRT 10.11.0.33, CUDA 13.0 | A | unknown power n/a | MLPerf Inference v6.0 (closed, edge) ID 6.0-0055 undated | 48 of 48 |
LLM generation
No published LLM generation results for HPE ProLiant DL145 Gen11 (1x NVIDIA RTX PRO 4500 Blackwell) 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.