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历史记录:请结合记录日期或对应版本阅读。

测试环境 Test Environment ​

  • GPU: NVIDIA RTX 4090D
  • fast-vc Version: 0.1.0
  • Test Date: 2025-06-15

测试参数 Test Parameters ​

  • 采样率 Sample Rate: 16000 Hz
  • 音频格式 Audio Format: 16-bit PCM
  • 模型 Model: seed-vc v1.0 tiny
  • Chunk Size: 500ms
  • 扩散步数 Diffusion Steps: 10

性能指标 Performance Metrics ​

并发数量Worker首token延迟端到端延迟平均chunk延迟平均RTF中位数RTFP95 RTF
ConcurrencyWorkerFirst Token LatencyEnd-to-End LatencyAvg Chunk LatencyAvg RTFMedian RTFP95 RTF
16136.0143.0105.00.210.220.24
36205.3168.0148.40.320.280.55
66133.8241.2177.40.360.360.43
612151.5232.3206.30.420.430.50
812159.8318.0232.90.480.480.61
1012144.8351.7217.10.440.450.52
1212140.1256.6216.60.440.450.51

时间单位: 毫秒 (ms)
Time Unit: Milliseconds (ms)
✅ 所有测试场景均达到实时处理要求 (RTF < 1.0)
✅ All test scenarios meet real-time processing requirements (RTF < 1.0)

测试结论 Test Conclusions ​

  • RTX 4090D 推荐生产配置: 可稳定支持12并发。
  • RTX 4090D Recommended Production Configuration: Can stably support 12 concurrent requests.

ps: ​

  • 你可以运行 python examples/websocket/concurrent_ws_client.py 来测试fast-vc在你本地的性能表现。
  • You can run python examples/websocket/concurrent_ws_client.py to test the performance of fast-vc on your local machine.

Fast-VC · 实时流式语音转换