HWBench

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs AMD Ryzen AI processor (SKU not stated)

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 7 FPGA I-Series Development Kit (FPGA AI Suite)AMD Ryzen AI processor (SKU not stated)
Best image classification182 FPS D
2026-08-10 (published)
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data1 of 71 of 7

Best published image classification result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only AMD Ryzen AI processor (SKU not stated) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
AMD Ryzen AI processor (SKU not stated)43.76 FPS
latency_e2e · b=1
YOLOv8s-worldv2
A16W8 · ONNX Runtime + Vitis AI EP (Ryzen AI SW), Quark A16W8 AdaRound · small (YOLO-s)
Dunknown power n/a
no power published
AMD technical article: Deploying object detection model on AMD AI PC
2026-01-23 (page last edited)

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 Ryzen AI processor (SKU not stated) 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 Ryzen AI processor (SKU not stated) 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 Ryzen AI processor (SKU not stated) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
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)

AMD Ryzen AI processor (SKU not stated):

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No published image classification results for AMD Ryzen AI processor (SKU not stated) or Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

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 Ryzen AI processor (SKU not stated) 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 Ryzen AI processor (SKU not stated) 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 Ryzen AI processor (SKU not stated) 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.