[CPU][ARM] Int8 conv swish fq fusion

[Passavee-Losripat]

Details:

• Re-enables ConvolutionTransformation on ARM by removing CPU_DISABLE_PASS_ARM
  in transformation_pipeline.cpp
• Extends ConvMulAddFQBlock pattern matcher to optionally match an activation node
  between Add and FakeQuantize, enabling recognition of
  Conv -> Mul -> Add -> Activation -> FQ in addition to the existing
  Conv -> Mul -> Add -> FQ. Currently supports Swish and Relu via
  wrap_type<Swish, Relu>
  • designed to handle for other activation in addition to Swish support in the future
    without structural changes
• Improve ACLConvolutionExecutor to accept Activation + FakeQuantize as simultaneous
  post-ops, replacing the hard single-post-op limit with an iteration loop
• Updates ConvertConvolutionBias and FallbackUnsupportedLPConvToFP16 to retrieve
  and handle the optional activation anchor without breaking existing patterns
• Extends canFuse() in conv.cpp to allow FakeQuantize fusion after a single Eltwise
  activation is already fused, enabling the full post-op chain to reach the ACL executor

Tickets:

• This PR is related to GSoC2026 Project 5 Optimize Quantized Model Inference Performance on ARM Devices with OpenVINO

AI Assistance:

• AI assistance used: yes
• Claude was used for writing external analyzing script and explaining codebase. All code in this PR was manually written and validated through YOLO26 detection accuracy on Apple M4 Max (ARM64). Analysis artifacts are not included in this PR.