HWBench

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs MemryX MX3 M.2 module

FPGA / Versal coverage note: 1,243 rows come from the AMD Vitis AI 3.0/3.5 Model Zoo tables; 733 (59%) are image classification. Detection, segmentation and other workloads are thinner, and there is no LLM or speech data for these boards. All are vendor-published (grade D). FPGA / Versal overview.

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 detection6100 FPS D
Older data (2023)
8519 FPS C
2026-07-15 (published)
Power75.00 W specn/a
Perf / W81.34 FPS/W specn/a
Pricen/an/a
Workloads with data4 of 75 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module2391 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
Cunknown 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
D75.00 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.

PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module1023 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
Cunknown 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):

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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

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module2721 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
Cunknown 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
D75.00 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module2317 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
Cunknown 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
D75.00 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
MemryX MX3 M.2 module1998 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
Cunknown 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
D75.00 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
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.