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Home / Blog / Benchmarks / PaddleOCR on RTX 5080: OCR Speed & Cost, Category: Benchmarks, Slug: paddleocr-on-rtx-5080-benchmark, Excerpt: PaddleOCR benchmarked on RTX 5080: 78 pages/sec, VRAM usage, cost efficiency, and deployment configuration., Internal links: 8 –>
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PaddleOCR on RTX 5080: OCR Speed & Cost, Category: Benchmarks, Slug: paddleocr-on-rtx-5080-benchmark, Excerpt: PaddleOCR benchmarked on RTX 5080: 78 pages/sec, VRAM usage, cost efficiency, and deployment configuration., Internal links: 8 –>

PaddleOCR benchmarked on RTX 5080: 78 pages/sec, VRAM usage, cost efficiency, and deployment configuration., Internal links: 8 -->

Seventy-eight pages per second. That is fast enough to chew through a filing cabinet of scanned documents in the time it takes to make a coffee. We benchmarked PaddlePaddle PP-OCRv4 on the NVIDIA RTX 5080 (16 GB VRAM), deployed on a GigaGPU dedicated server. The Blackwell-era shader improvements deliver a noticeable jump in OCR throughput compared to previous-generation cards at this price point.

Speed Test Results

MetricValue
Pages/sec78 pages/sec
Latency per page12.8 ms
PrecisionFP16
PipelineDet + Rec + Cls
Performance ratingVery Good

Benchmark conditions: FP16 inference, batch size 1, PP-OCRv4 full pipeline (detection + direction + recognition) on A4-format document scans.

Memory Utilisation

ComponentVRAM
Model weights (FP16)1.2 GB
Processing buffer~0.4 GB
Total RTX 5080 VRAM16 GB
Free headroom~14.8 GB

PaddleOCR consumes barely a tenth of the available VRAM. The nearly 15 GB of headroom means you can run a 7B LLM in INT4 alongside OCR with room to spare, or batch-process larger documents without worrying about out-of-memory errors. For teams building end-to-end document pipelines, this flexibility matters a lot.

Cost Analysis

Cost MetricValue
Server cost£0.95/hr (£189/mo)
Cost per 1M pages£3.38
Pages per £1295858

The RTX 5080 achieves the lowest cost-per-page of any card in our test suite above 50 pages/sec. It outperforms the RTX 3090 on throughput (78 vs 52 pages/sec) while costing only slightly more per month. If you need production-grade OCR speed at a reasonable price, this is the current sweet spot. Full comparison at all benchmarks.

Ideal Workloads

The 5080 excels at medium-to-high-volume document processing: scanning invoices from multiple suppliers, digitising handwritten forms, or running multilingual OCR across large archives. Its strong pages-per-pound efficiency means you get production-ready performance without stepping up to the 5090’s price tier.

Quick deploy:

docker run --gpus all -p 8866:8866 paddlecloud/paddleocr:latest

See our PaddleOCR hosting guide, best GPU for OCR, and all benchmark results. Related: LLaMA 3 8B on RTX 5080 benchmark.

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