Axelera Metis Embedded 113m M.2 card vs NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB)
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 Embedded 113m M.2 card | NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) | |
|---|---|---|
| Best object detection | 3004 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 Embedded 113m M.2 card has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 91.00 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) |
NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB):
No published object detection results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) or Axelera Metis Embedded 113m M.2 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 Embedded 113m M.2 card has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 186 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) |
NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB):
No published instance segmentation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) or Axelera Metis Embedded 113m M.2 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 Embedded 113m M.2 card has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 746 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) |
NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB):
No published pose estimation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) or Axelera Metis Embedded 113m M.2 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 Embedded 113m M.2 card has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 4257 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) |
NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB):
No published image classification results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) or Axelera Metis Embedded 113m M.2 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 Embedded 113m M.2 card has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 294 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) |
NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB):
No published semantic segmentation results for NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) or Axelera Metis Embedded 113m M.2 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 NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) | 49327 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.0, closed division, data-centre suite 2026-04-01 (published) |
Axelera Metis Embedded 113m M.2 card:
No published speech-to-text results for Axelera Metis Embedded 113m M.2 card or NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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 Embedded 113m M.2 card or NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) 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.