AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs MemryX MX3 M.2 module
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | MemryX MX3 M.2 module | |
|---|---|---|
| Best object detection | 6100 FPS D Older data (2023) | 8519 FPS C 2026-07-15 (published) |
| Power | 75.00 W spec | n/a |
| Perf / W | 81.34 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 4 of 7 | 5 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 2391 FPS throughput · b=1 | MediaPipe-object-Detection-3d-camera 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) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: batch unknown vs 1 | 6100 FPS E2E throughput, multi thread · b=unknown | tf_ssdmobilenetv1_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
instance segmentation
Only MemryX MX3 M.2 module has published instance segmentation results.
| 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) |
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML):
No published instance segmentation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or MemryX MX3 M.2 module yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
| 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) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: batch unknown vs 1 | 8327 FPS E2E throughput, multi thread · b=unknown | pt_movenet_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
image classification
| 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) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1 | 63109 FPS E2E throughput, multi thread · b=unknown | tf_mobilenetv1-0.25_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
semantic segmentation
| 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) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: batch unknown vs 1 | 1177 FPS E2E throughput, multi thread · b=unknown | tf2_2D-UNET_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or MemryX MX3 M.2 module 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 AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or MemryX MX3 M.2 module 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.