The following benchmark summarizes the imaging performance observed when processing a dataset of PDF documents using different imaging engines and license allocations.

Test Dataset

• Total Documents: 10,987 PDFs

• Total Pages: 35,178 pages

Imaging Performance Results

Key Observations

• The Non-Native imaging engine (Stellent) demonstrates significantly higher throughput when processing PDF documents.

• Increasing licenses from 16 to 24 improves total throughput, indicating effective parallel processing.

• The Adobe PDF Engine provides more conservative throughput but may be preferred when specific rendering fidelity requirements are needed.

• In this benchmark, the Non-Native engine achieved approximately 27–31 pages per minute per license, while the Adobe PDF Engine achieved approximately 9–10 pages per minute per license.

Notes

Performance results may vary depending on several factors, including:

• Document complexity (embedded fonts, high-resolution images, vector graphics)

• Presence of malformed or corrupted PDF structures

• Hardware resources such as CPU, disk I/O, and memory

• Concurrent system workloads

These metrics should be considered reference benchmarks under controlled test conditions.

Interpretation:

• Use Non-Native Engine when throughput is critical and processing large volumes of PDFs.

• Use Adobe PDF Engine when accuracy and fidelity in PDF rendering are more important than speed.