Axelera Metis Embedded 113m M.2 card vs Qualcomm Dragonwing RB3 Gen 2 (QCS6490)
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Axelera Metis Embedded 113m M.2 card is faster in all 3 like-for-like comparisons (largest gap: image classification, 11.65×).
| Axelera Metis Embedded 113m M.2 card | Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | |
|---|---|---|
| Best object detection | 3004 FPS C 2026-10-15 (page last edited) | 276 FPS D 2026-10-07 (published) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 5 of 7 | 6 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
✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 1337 FPS throughput · b=1 | YOLOv7-tiny INT8 · Voyager SDK (GStreamer pipeline) · unknown | 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) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 276 FPS inference_time · b=1 | yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
instance segmentation
⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class unknown vs mid-size CNN.
| 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) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) MIXED: model-size class unknown vs mid-size CNN | 240 FPS inference_time · b=1 | yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
No shared like-for-like group exists for this pair.
pose estimation
⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mid-size CNN.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 291 FPS inference_time · b=1 | hrnet_pose w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
| Axelera Metis Embedded 113m M.2 card MIXED: model-size class nano (YOLO-n) vs mid-size CNN | 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) |
No shared like-for-like group exists for this pair.
image classification
✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.
| 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) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 940 FPS inference_time · b=1 | mobilenet_v2 w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 4412 FPS throughput · b=1 | ResNet-10t 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) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 379 FPS inference_time · b=1 | resnet50 w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mid-size CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
semantic segmentation
⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mobile-class CNN.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 71.69 FPS inference_time · b=1 | deeplabv3_plus_mobilenet w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
| Axelera Metis Embedded 113m M.2 card MIXED: model-size class nano (YOLO-n) vs mobile-class CNN | 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) |
No shared like-for-like group exists for this pair.
speech-to-text
Only Qualcomm Dragonwing RB3 Gen 2 (QCS6490) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 42.65 FPS inference_time · b=1 | whisper_small_quantized / decoder w8a16 · Qualcomm AI Hub voice_ai (QAIRT 2.50.0.260828221209) · Whisper small | D | unknown power n/a no power published | Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published) |
Axelera Metis Embedded 113m M.2 card:
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No published speech-to-text results for Axelera Metis Embedded 113m M.2 card or Qualcomm Dragonwing RB3 Gen 2 (QCS6490) 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 Qualcomm Dragonwing RB3 Gen 2 (QCS6490) 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
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.
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.