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@@ -27,4 +27,4 @@ Pretrained pipelines reach state-of-the-art performance on most academic benchma
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  Using one Nvidia Tesla V100 SXM2 GPU and one Intel Cascade Lake 6248 CPU,
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  * [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) takes around 1m30s to process 1h of audio
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  * [v3.0](https://hf.co/pyannote/speaker-diarization-3.0) takes around 1m20s to process 1h of audio
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- * <a href="mailto:herve-at-niderb-dot-fr?subject=Premium pyannote.audio pipeline&body=Looks like I got your attention! Drop me an email for more details. Hervé.">Premium</a> takes around 1m00s to process 1h of audio
 
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  Using one Nvidia Tesla V100 SXM2 GPU and one Intel Cascade Lake 6248 CPU,
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  * [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) takes around 1m30s to process 1h of audio
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  * [v3.0](https://hf.co/pyannote/speaker-diarization-3.0) takes around 1m20s to process 1h of audio
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+ * <a href="mailto:herve-at-niderb-dot-fr?subject=Premium pyannote.audio pipeline&body=Looks like I got your attention! Drop me an email for more details. Hervé.">Premium</a> takes less than 1m00s to process 1h of audio