AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs AMD Versal AI Edge VEK280 (VE2802)
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.
AMDPCIe accelerator cardNo licensed photo yet
AMDeval kit (adaptive SoC)No licensed photo yet
Split result: AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) is faster in 10 and AMD Versal AI Edge VEK280 (VE2802) in 3 of 13 like-for-like comparisons.
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | AMD Versal AI Edge VEK280 (VE2802) | |
|---|---|---|
| Best object detection | 6100 FPS D Older data (2023) | 1933 FPS D Older data (2023) |
| 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 | 4 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 medium (YOLO-m), batch 14. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Versal AI Edge VEK280 (VE2802) | 325 FPS E2E throughput, multi thread · b=14 | yolov5m_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · medium (YOLO-m) | D | unknown power n/a no power published | AMD UG1354 Vitis AI Library performance tables undated |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 161 FPS E2E throughput, multi thread · b=14 | yolov8m_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · medium (YOLO-m) | D | 75.00 W spec platform spec envelope (not measured with this result) | AMD UG1354 Vitis AI Library performance tables undated |
✓ Like-for-like: model-size class small (YOLO-s), batch 14. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Versal AI Edge VEK280 (VE2802) | 98.10 FPS E2E throughput, multi thread · b=14 | yolov5s6_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · small (YOLO-s) | D | unknown power n/a no power published | AMD UG1354 Vitis AI Library performance tables undated |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 85.28 FPS E2E throughput, multi thread · b=14 | yolov5s6_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · small (YOLO-s) | D | 75.00 W spec platform spec envelope (not measured with this result) | AMD UG1354 Vitis AI Library performance tables undated |
✓ Like-for-like: model-size class medium (YOLO-m), batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 280 FPS E2E throughput, multi thread · b=unknown | pt_yolov6m_3.5 INT8 · Vitis AI 3.5 (VART) · medium (YOLO-m) | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Versal AI Edge VEK280 (VE2802) | 49.61 FPS E2E throughput, multi thread · b=unknown | pt_yolov6m_3.5 INT8 · Vitis AI 3.5 (VART) · medium (YOLO-m) | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
✓ Like-for-like: model-size class mid-size CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 70.16 FPS E2E throughput, multi thread · b=unknown | tf_mlperf_resnet34_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) |
| AMD Versal AI Edge VEK280 (VE2802) | 40.67 FPS E2E throughput, multi thread · b=unknown | tf_mlperf_resnet34_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
✓ Like-for-like: model-size class mobile-class CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 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) |
| AMD Versal AI Edge VEK280 (VE2802) | 1933 FPS E2E throughput, multi thread · b=unknown | tf_ssdmobilenetv1_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
✓ Like-for-like: model-size class unknown, batch 14 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 540 FPS E2E throughput, multi thread · b=14 | yolov5_nano_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · unknown | D | 75.00 W spec platform spec envelope (not measured with this result) | AMD UG1354 Vitis AI Library performance tables undated |
| AMD Versal AI Edge VEK280 (VE2802) | 475 FPS E2E throughput, multi thread · b=14 | yolov5_nano_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · unknown | D | unknown power n/a no power published | AMD UG1354 Vitis AI Library performance tables undated |
✓ Like-for-like: model-size class unknown, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 2174 FPS E2E throughput, multi thread · b=unknown | pt_face-mask-detection_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Versal AI Edge VEK280 (VE2802) | 1465 FPS E2E throughput, multi thread · b=unknown | tf_RefineDet-Medical_0.88_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
instance segmentation
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No published instance segmentation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or AMD Versal AI Edge VEK280 (VE2802) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
✓ Like-for-like: model-size class mobile-class CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 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) |
| AMD Versal AI Edge VEK280 (VE2802) | 428 FPS E2E throughput, multi thread · b=unknown | pt_movenet_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
image classification
✓ Like-for-like: model-size class mid-size CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 7780 FPS E2E throughput, multi thread · b=unknown | pt_OFA-resnet50_0.88_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) |
| AMD Versal AI Edge VEK280 (VE2802) | 6595 FPS E2E throughput, multi thread · b=unknown | pt_OFA-resnet50_0.88_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
✓ Like-for-like: model-size class mobile-class CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 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) |
| AMD Versal AI Edge VEK280 (VE2802) | 8381 FPS E2E throughput, multi thread · b=unknown | tf_mobilenetv1-0.25_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
✓ Like-for-like: model-size class unknown, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 12926 FPS E2E throughput, multi thread · b=unknown | pt_OFA-depthwise-res50_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Versal AI Edge VEK280 (VE2802) | 8598 FPS E2E throughput, multi thread · b=unknown | pt_squeezenet_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
semantic segmentation
✓ Like-for-like: model-size class mid-size CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Versal AI Edge VEK280 (VE2802) | 1564 FPS E2E throughput, multi thread · b=unknown | tf2_2D-UNET_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 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) |
✓ Like-for-like: model-size class unknown, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 187 FPS E2E throughput, multi thread · b=unknown | pt_pointpillars_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Versal AI Edge VEK280 (VE2802) | 70.06 FPS E2E throughput, multi thread · b=unknown | pt_pointpillars_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
speech-to-text
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No published speech-to-text results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or AMD Versal AI Edge VEK280 (VE2802) 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 AMD Versal AI Edge VEK280 (VE2802) 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.