Axelera Metis Edge 130p PCIe card vs QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Axelera Metis Edge 130p PCIe card | QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) | |
|---|---|---|
| Best object detection | 2894 FPS C 2026-10-15 (page last edited) | n/a |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 5 of 7 | 1 of 7 |
Best published object detection result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only Axelera Metis Edge 130p PCIe card has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 89.00 FPS throughput · b=1 | RetinaFace - Resnet50 INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB):
No published object detection results for QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) or Axelera Metis Edge 130p PCIe card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
Only Axelera Metis Edge 130p PCIe card has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 287 FPS throughput · b=1 | YOLACT-ResNet50 INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB):
No published instance segmentation results for QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) or Axelera Metis Edge 130p PCIe card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only Axelera Metis Edge 130p PCIe card has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 762 FPS throughput · b=1 | YOLOv8n-pose INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n) | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB):
No published pose estimation results for QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) or Axelera Metis Edge 130p PCIe card 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 Axelera Metis Edge 130p PCIe card has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 4591 FPS throughput · b=1 | MobileNetV4-small INT8 · Voyager SDK (GStreamer pipeline) · mobile-class CNN | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB):
No published image classification results for QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) or Axelera Metis Edge 130p PCIe card 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 Axelera Metis Edge 130p PCIe card has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 280 FPS throughput · b=1 | YOLO26n-sem INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n) | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB):
No published semantic segmentation results for QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) or Axelera Metis Edge 130p PCIe card 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 QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) | 45408 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1, cuDNN 9.17, TensorRT-LLM feat/1.2-mlpinf, NVIDIA Dynamo mlperf-v6.0-dynamo-v0.8.0, vLLM CentM · unknown | A | unknown power n/a no power published | MLPerf Inference v6.1, closed division, data-centre suite 2026-09-16 (published) |
Axelera Metis Edge 130p PCIe card:
No published speech-to-text results for Axelera Metis Edge 130p PCIe card or QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for Axelera Metis Edge 130p PCIe card or QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) 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.