Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) vs AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) | AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | |
|---|---|---|
| Best object detection | 59.90 FPS D 2026-08-10 (published) | 6100 FPS D Older data (2023) |
| Power | n/a | 75.00 W spec |
| Perf / W | n/a | 81.34 FPS/W spec |
| Price | n/a | n/a |
| Workloads with data | 2 of 7 | 4 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 |
|---|---|---|---|---|---|
| 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 |
| Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) MIXED: model-size class unknown vs small (YOLO-s); batch 1 vs 14 | 59.90 FPS throughput · b=1 | yolo-v3-tiny-tf not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published pose estimation results.
| 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) |
Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):
No published pose estimation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) | 160 FPS throughput · b=1 | mobilenet-v2 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: 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
Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| 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) |
Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):
No published semantic segmentation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
speech-to-text
No published speech-to-text results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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.