MemryX MX3 M.2 module vs Qualcomm Dragonwing RB3 Gen 2 (QCS6490)
MemryXedge accelerator cardNo licensed photo yet
Qualcommedge SoC dev kitNo licensed photo yet
MemryX MX3 M.2 module is faster in all 8 like-for-like comparisons (largest gap: semantic segmentation, 486×).
| MemryX MX3 M.2 module | Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | |
|---|---|---|
| Best object detection | 8519 FPS C 2026-07-15 (published) | 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 8519 FPS throughput · b=1 | Malaria-Detector not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| 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
✓ 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 1023 FPS throughput · b=1 | YOLO26-nano-seg not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 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) |
pose estimation
✓ 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 1510 FPS throughput · b=1 | RtmPose-tiny not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mid-size CNN | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| 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) |
✓ 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 2721 FPS throughput · b=1 | MoveNet.SinglePose.Lightning not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 947 FPS inference_time · b=1 | mediapipe_pose / pose_landmark_detector w8a8 · Qualcomm AI Hub qnn_context_binary (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) |
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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 8312 FPS throughput · b=1 | MobileNet not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 2317 FPS throughput · b=1 | ResNet-50 (MXA-Optimized) not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mid-size CNN | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| 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
✓ 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 2002 FPS throughput · b=1 | MediaPipe-selfie-segmentation-landscape not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mobile-class CNN | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| 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) |
✓ 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 |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 1998 FPS throughput · b=1 | Deeplab-v3 not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · mid-size CNN | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| Qualcomm Dragonwing RB3 Gen 2 (QCS6490) | 4.11 FPS inference_time · b=1 | unet_segmentation w8a8 · Qualcomm AI Hub qnn_dlc (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) |
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) |
MemryX MX3 M.2 module:
◌
No published speech-to-text results for MemryX MX3 M.2 module 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 MemryX MX3 M.2 module 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.