Comments (3)
Maratyszcza
commented on May 3, 2024
1
Unsigned quantized inference is less efficient than QNNPACK. Compared to QNNPACK, it has some optimizations removed.
The focus of quantized inference in XNNPACK is on signed quantization format.
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Maratyszcza
commented on May 3, 2024
1
We don't have any data to share, but you may run end_to_end_bench from XNNPACK on your device. Look at cases starting with QS8.
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shanumante-sc
commented on May 3, 2024
@Maratyszcza As a follow-up, are there benchmarks comparing signed quantized inference from XNNPACK with QNNPACK (unsigned)? There seem to be certain benefits to using signed arithmetic based on https://www.tensorflow.org/lite/performance/quantization_spec
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Related Issues (20)
- will you Plan to support int8 perchannel quantize for linear op? HOT 1
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