Expired50% confidenceBenchmarkExact time
MiniCPM-V 4.7 35B-A3B achieves a decoding speed of 13+ tokens/s on the iPhone 17 Pro Max.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/12/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/26/2026(expired)
Sources
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Related Claims
UnverifiedPrismML's Bonsai technology enables a 27B parameter model to run at approximately 11 tokens/second on an iPhone 17 Pro72% 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% similarUnverifiedWhen running at 1-bit precision on an M2 Max equipped with 96GB of VRAM, generation speed for simple tasks is consistently around 28–30 tokens/second71% similarUnverifiedOn an RTX 5090, Muse Glimmer runs at 75 tokens/second without speculative decoding, and reaches 233 tokens/second when paired with a speculative decoding model71% similarUnverifiedWith a 5070 12 GB GPU paired with 64 GB of memory, speed can reach 93 tokens/s in short chat scenarios and 74 tokens/s for 128K long contexts.69% similar
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