Unverified50% confidenceTradeoffExact time
When evaluating quantization schemes, one should look at the number of qualified outputs per unit time rather than simply single-inference speed, as the speed gains from INT4 may be offset by the overhead of repeated regeneration.
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9/11/2026
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VerifiedModern quantization algorithms can keep the performance loss of INT4 quantization within 1–3%.75% similarVerifiedQuantizing a model from FP32 to INT8 can improve inference speed by 3–4x, but may lead to reduced detection accuracy for small targets.72% similarVerifiedINT4 quantization can compress VRAM requirements to one-quarter of the original.71% similarVerifiedQuantization technology converts floating-point operations to fixed-point operations, reducing model size by 4–8 times and improving inference speed by 2–4 times.71% similar
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