Unverified50% confidenceFactExact time
GTX 10系（sm_61，GP104芯片）刻意阉割FP16性能，需拆分为两个FP32操作，FP16算力仅约为FP32的一半
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
三行代码修复：Tesla P100在llama.cpp中精度提升2300倍
redditr/LocalLLaMA7/12/2026
Related Claims
UnverifiedGTX 10系显卡对FP16的硬件加速支持有限，实际速度收益可能低于预期77% similarUnverifiedGTX 10-series GPUs and the P40 (architecture code name sm_61) have long been excluded from llama.cpp's fp16 fast path, but the P100 (architecture code name sm_60) has not been excluded.77% similarUnverifiedNVIDIA's H100 GPU natively supports the FP8 format, with throughput approximately 2× that of FP16.73% similarVerifiedOn NVIDIA GPUs equipped with Tensor Cores (such as A100 and H100), the throughput of FP16/BF16 matrix operations can reach 2–8 times that of FP32.73% similarUnverifiedAs a data center flagship, the P100 is equipped with dedicated FP16 SIMD units, theoretically capable of 21.2 TFLOPS of FP16 compute, making it the only model in the Pascal family with fast fp16 hardware units.69% similar
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