Unverified50% confidenceBenchmarkExact time
OmniPoser's performance is comparable to current state-of-the-art methods, with a runtime exceeding 700 FPS and a per-frame inference time of about 1.4 milliseconds.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedOllama在纯CPU上运行时,Token输出速度大约每秒5-10个词68% similarUnverifiedOpenAI has launched a premium speed tier called Ultrafast, which achieves up to 8x faster token generation in Codex and up to 6x faster speeds via the API.68% similarUnverifiedTesseract OCR 处理一张 1080p 截图通常需要 200-500ms 的 CPU 时间;深度学习 OCR 引擎(如 PaddleOCR、EasyOCR)识别准确率可提升到 95% 以上但单帧处理时间可能增加到 1-2 秒68% similarUnverifiedThe solution achieves a stable rate of approximately 40 tok/s on prose/text generation tasks and approximately 75 tok/s on programming tasks, with speed sustained throughout the entire 1M context without significant degradation.67% similarUnverifiedThe method operates at inference time, requires no model retraining, can run in real time, and has a 95th-percentile decision latency below 61 milliseconds, which falls within the 80-millisecond single-frame budget.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1039489API
curl https://kongchang.com/api/v1/knowledge/claims/1039489MCP
get_claim(id=1039489)