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Whisper Large-v3 on RTX 5060 Benchmark

A one-hour meeting transcribed in under ten minutes. That is what 6.2x real-time speed actually means in practice. We ran Whisper Large-v3 on the RTX 5060 through our standard benchmark suite on GigaGPU to see whether this mid-range Ada Lovelace card can serve as a serious transcription workhorse.

Processing Speed

MetricValue
Real-Time Factor (lower = faster)0.16
Processing speed6.2x real-time
Audio hours processed per GPU-hour6.2
PrecisionFP16
Performance ratingGood

Benchmark conditions: FP16 inference, single-stream processing, 16kHz input audio, English language. faster-whisper backend with CTranslate2 optimisation.

Memory Profile

ComponentVRAM
Model weights (FP16)3.1 GB
Audio buffer + runtime~0.5 GB
Total RTX 5060 VRAM8 GB
Free headroom~4.9 GB

Nearly 5 GB free after Whisper loads. That is a meaningful upgrade over the 3050’s tight margins — enough headroom to experiment with concurrent stream processing or co-host a lightweight Coqui TTS model (2.4 GB) for a complete speech-to-text-to-speech pipeline on a single card.

Per-Hour Costs

Cost MetricValue
Server cost£0.35/hr (£99/mo)
Cost per audio hour£0.056
Audio hours per £117.9

At 5.6p per audio hour, the 5060 is the best cost-per-hour transcription card in our lineup. It processes 72% faster than the RTX 3050 while costing only £79/mo more. Commercial Whisper APIs typically charge 5-15x more per hour. Full comparison on the benchmark page.

Ideal Use Cases

The 5060 is the pragmatic Whisper card. Customer support call logging, daily meeting transcription, content studio workflows — anything processing 5-20 hours of audio daily fits perfectly. For real-time streaming transcription or larger backlogs, the 5060 Ti bumps speed to 8.3x. Full analysis in our best GPU for Whisper guide.

Quick deploy:

docker run --gpus all -p 9000:9000 ghcr.io/fedirz/faster-whisper-server:latest

More: Whisper hosting guide, all benchmarks, Flux.1 hosting.

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