测试环境 Test Environment

• GPU: NVIDIA GTX 1080 Ti
• fast-vc Version: 0.1.0
• Test Date: 2025-06-14

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RTF	P95 RTF
Concurrency	Worker	First Token Latency	End-to-End Latency	Avg Chunk Latency	Avg RTF	Median RTF	P95 RTF
1	6	157.0	272.0	252.2	0.50	0.51	0.61
2	6	157.5	283.5	273.63	0.55	0.58	0.61
3	6	154.3	261.3	304.93	0.61	0.62	0.73

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

• 1080ti 推荐生产配置: 建议并发数为2-3个客户端，能够维持良好的实时处理性能。
• GTX 1080 Ti Recommended Production Configuration: Recommended concurrency of 2-3 clients to maintain good real-time processing performance.

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.