IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB): edge AI benchmarks
Key results
| Workload | Best result | Model · precision | Power · perf/W | Grade · date | Source |
|---|---|---|---|---|---|
| speech-to-text | 36396 FPS batch unknown | MLPerf whisper bfloat16 · vLLM 0.15.1, PyTorch 2.9.1+cu128, CUDA 12.9.86 | unknown | A 2026-04-01 (published) | MLPerf Inference v6.0, closed division, data-centre suite |
Best published result per workload, across model sizes. For like-for-like groups, open the per-workload tables below.
Show data — per-workload tables
object detection
No published object detection results for IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB) 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 IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB) 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 IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB) 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 IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB) 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 | 36396 FPS | MLPerf whisper bfloat16 · vLLM 0.15.1, PyTorch 2.9.1+cu128, CUDA 12.9.86 | A | unknown power n/a | MLPerf Inference v6.0, closed division, data-centre suite 2026-04-01 (published) | 11 of 48 |
LLM generation
No published LLM generation results for IBM Cloud qx3d-160x1792x8h200,NVIDIA 8xH200-SXM-141GB,vLLM 0.15.1 (8x NVIDIA H200-SXM-141GB) 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.