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github.com › repository issue
消费级显卡(比如5090/4090等)下的RTF统计
k2-fsa/OmniVoice
Status:
Open
Opened:
Apr 3, 2026
Comments:
5
原始Pytorch模型下大家大概是多少?
Python
View on GitHub ↗
Other Comments / Reviews
For RTF evaluation, with different GPUs, inference steps,...
by zhu-han
Apr 4, 2026
344秒时长音频 耗时51秒 RTF=0.15 测试方法: 1)自定义一个...
by cacard
Apr 3, 2026
> [@cacard](https://github.com/cacard) what's your config...
by cacard
Apr 3, 2026
@cacard what's your config? I only got RTF = 0.3 on 3090 ...
by rennyka-107
Apr 3, 2026
生成14秒音频平均1.12秒,RTF = 0.08,不错了。(on 24G VRAM...
by cacard
Apr 3, 2026
Related Content
AI Insight
OmniVoice's Real-Time Factor (RTF) performance on consumer-grade GPUs (e.g., 5090/4090). The user is inquiring about typical RTF statistics.
This inquiry into 'RTF statistics on consumer-grade GPUs' (e.g., 5090/4090) f...