Axelera Metis Embedded 113m M.2 card vs NVIDIA DGX Spark
NVIDIA DGX Spark is faster in the only like-for-like comparison (largest gap: object detection, 1.20×).
| Axelera Metis Embedded 113m M.2 card | NVIDIA DGX Spark | |
|---|---|---|
| Best object detection | 3004 FPS C 2026-10-15 (page last edited) | 990 FPS B 2026-09-27 (page last edited) |
| Power | n/a | 153 W spec |
| Perf / W | n/a | 6.47 FPS/W spec |
| Price | n/a | $6950 list |
| Workloads with data | 5 of 7 | 2 of 7 |
Best published object detection result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX Spark | 990 FPS inference_time · b=1 | YOLO11n FP16 · Ultralytics TensorRT · nano (YOLO-n) | B | 153 W spec platform spec envelope (not measured with this result) | Ultralytics documentation (benchmark table) 2026-09-27 (page last edited) |
| Axelera Metis Embedded 113m M.2 card | 824 FPS throughput · b=1 | YOLOv5n 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) |
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 Spark:
No published instance segmentation results for NVIDIA DGX Spark 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 Spark:
No published pose estimation results for NVIDIA DGX Spark 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 Spark:
No published image classification results for NVIDIA DGX Spark 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 Spark:
No published semantic segmentation results for NVIDIA DGX Spark 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
No published speech-to-text results for Axelera Metis Embedded 113m M.2 card or NVIDIA DGX Spark 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 DGX Spark has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX Spark | 60.39 tok/s tg128 · b=1 | Llama 2 7B Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B | C | 153 W spec platform spec envelope (not measured with this result) | llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API) 2026-10-10 (page last edited) |
Axelera Metis Embedded 113m M.2 card:
No published LLM generation results for Axelera Metis Embedded 113m M.2 card or NVIDIA DGX Spark 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.