Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) vs NVIDIA DGX Spark
Only NVIDIA DGX Spark has published results here; Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) has none for the workloads we track.
| Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) | NVIDIA DGX Spark | |
|---|---|---|
| Best object detection | n/a | 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 | 0 of 7 | 2 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 NVIDIA DGX Spark has published object detection results.
| 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) |
Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI):
No published object detection results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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.
instance segmentation
No published instance segmentation results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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.
pose estimation
No published pose estimation results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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.
image classification
No published image classification results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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.
semantic segmentation
No published semantic segmentation results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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.
speech-to-text
No published speech-to-text results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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) |
Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI):
No published LLM generation results for Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) 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.