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Whisper Large-v3 on RTX 3090: Transcription Speed & Cost, Category: Benchmarks, Slug: whisper-large-v3-on-rtx-3090-benchmark, Excerpt: Whisper Large-v3 benchmarked on RTX 3090: RTF 0.08, 12.5x real-time processing, VRAM usage, and cost per audio hour., Internal links: 8 –>

Whisper Large-v3 benchmarked on RTX 3090: RTF 0.08, 12.5x real-time processing, VRAM usage, and cost per audio hour., Internal links: 8 -->

Twelve and a half hours of audio processed in sixty minutes. That kind of throughput turns the RTX 3090 from a transcription tool into a transcription factory. We ran the full Whisper Large-v3 benchmark on GigaGPU to quantify exactly what this Ampere powerhouse delivers for speech recognition workloads.

Benchmark Results

MetricValue
Real-Time Factor (lower = faster)0.08
Processing speed12.5x real-time
Audio hours processed per GPU-hour12.5
PrecisionFP16
Performance ratingVery Good

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

A Model That Barely Touches 24 GB

ComponentVRAM
Model weights (FP16)3.1 GB
Audio buffer + runtime~0.5 GB
Total RTX 3090 VRAM24 GB
Free headroom~20.9 GB

Over 20 GB free. The 3090 is massively overprovisioned for Whisper alone, and that is the point. Run a complete voice AI stack: Whisper for transcription, a 7B LLM for response generation, and Coqui XTTS-v2 for speech synthesis — all simultaneously on one card with VRAM to spare.

Cost per Audio Hour

Cost MetricValue
Server cost£0.75/hr (£149/mo)
Cost per audio hour£0.060
Audio hours per £116.7

Six pence per audio hour at 12.5x speed. For context, that means processing an entire day’s worth of call centre recordings (100+ hours) overnight for about £6. See how this stacks up against other GPUs on the benchmark comparison page.

Built for High-Volume Audio

The 3090 is the right card for organisations with serious transcription volume: legal firms processing depositions, media companies transcribing interviews, healthcare providers converting clinical notes. The 12.5x speed means backlogs disappear fast, and the VRAM surplus means you are never locked into a single workload. For even more throughput, the RTX 5090 reaches 33.3x. Full details: best GPU for Whisper.

Quick deploy:

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

Explore: Whisper hosting guide, all benchmarks, PaddleOCR hosting.

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