HWBenchedge-AI hardware data, cited & graded

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs Intel Xeon Platinum 8280

AlteraFPGA (PCIe/dev kit) · no photo yet
No licensed photo available — placeholder drawing.
Inteldatacenter server · no photo yet
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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)Intel Xeon Platinum 8280
Best image classification182 FPS D
undated
14815 FPS D
undated
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data1 of 72 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 Intel Xeon Platinum 8280 has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Intel Xeon Platinum 8280 CPU-only58.17 FPS
throughput (OpenVINO benchmark_app) · b=unknown
ssd-resnet34-1200
INT8 · OpenVINO 2026.4.1 · mid-size CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
undated

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

◌

No published object detection results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Intel Xeon Platinum 8280 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 Intel Xeon Platinum 8280 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 Intel Xeon Platinum 8280 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

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
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)
undated
Intel Xeon Platinum 8280 CPU-only
MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1
14815 FPS
throughput (OpenVINO benchmark_app) · b=unknown
mobilenet-v2
INT8 · OpenVINO 2026.4.1 · mobile-class CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
undated

No shared like-for-like group exists for this pair.

semantic segmentation

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No published semantic segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Intel Xeon Platinum 8280 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 Intel Xeon Platinum 8280 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 Intel Xeon Platinum 8280 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.