HWBench

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs AMD Versal AI Edge Series Gen 2 VEK385

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.

AMD Versal AI Edge Series Gen 2 VEK385 is faster in the only like-for-like comparison (largest gap: image classification, 1.46×).

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)AMD Versal AI Edge Series Gen 2 VEK385
Best image classification182 FPS D
2026-08-10 (published)		265 FPS D
2026-09-23 (page last edited)
Powern/an/a
Perf / Wn/an/a
Pricen/a$15995 list
Workloads with data1 of 72 of 7

Best published image classification 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

Only AMD Versal AI Edge Series Gen 2 VEK385 has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge Series Gen 2 VEK38593.50 FPS
throughput · b=1		yolov8m
VINT8 with BF16 tail (Quark) · Vitis AI 6.3 VART ml_vart --benchmark --runs 100 · medium (YOLO-m)		Dunknown power n/a
no power published		AMD Vitis AI 6.3 VEK385 YOLOv8m tutorial
2026-09-24 (published)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published object detection results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or AMD Versal AI Edge Series Gen 2 VEK385 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or AMD Versal AI Edge Series Gen 2 VEK385 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or AMD Versal AI Edge Series Gen 2 VEK385 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
AMD Versal AI Edge Series Gen 2 VEK385265 FPS
throughput · b=1		resnet50-v1-12 (ONNX)
INT8 (Quark) · Vitis AI 6.3 ONNX Runtime Vitis AI EP (evaluate.py, Python loop) · mid-size CNN		Dunknown power n/a
no power published		AMD Vitis AI 6.3 VEK385 ResNet50 Quark tutorial
2026-09-23 (page last edited)
Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)182 FPS
throughput · b=1		ResNet18 (PyTorch)
not stated in table · FPGA AI Suite on-chip parameter streaming; IP throughput · mid-size CNN		Dunknown power n/a
no power published		Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

semantic segmentation

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No published semantic segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or AMD Versal AI Edge Series Gen 2 VEK385 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

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No published speech-to-text results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or AMD Versal AI Edge Series Gen 2 VEK385 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or AMD Versal AI Edge Series Gen 2 VEK385 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.