Unverified50% confidenceBenchmarkExact time
On an Apple Silicon MacBook Air (M4, 10-core CPU, 16 GB), Whisper large-v3-turbo has an average latency of 0.68 seconds, a real-time factor of 0.095, and a WER of 2.89% (29/1002).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedOpenAI's Whisper large-v3 model takes approximately 10–15 minutes to transcribe speech from a 1-hour video on an Apple M2 chip, compared to approximately 2 minutes on a cloud-based A100 GPU.73% similarUnverifiedLing 3.0 Tiny achieves an inference speed of approximately 86–90 tokens per second on a MacBook with M4 Pro, with a peak memory usage of approximately 8.34 GiB under an 8K context.71% similarUnverifiedThe GGUF Q4_K_M quantized version of Kev 4B scored 72/82 on an M4 Pro / 24GB Mac, matching the cloud version's score, with a median latency of 0.173 seconds—approximately 9 times faster than calling the cloud version (1.534 seconds) and at zero cost.69% similarUnverifiedCollapse推理速度:CPU上单条10-token上下文约0.23毫秒,MPS在batch 1024下约230万token/秒,最近邻查询约0.48毫秒69% similarUnverifiedIn benchmark testing of prefilling a 2000-token file, the speed under a 16k context increased from 109 tok/s on Mac alone to 157 tok/s on Mac+iPhone (+44%).69% similar
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