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Hi, I migrate an audio project using AVAudioEngine from Objective-C to Swift.  All objects  are the same but in Swift instead of Objective-C. The application uses the microphone input and analyses it via a renderCallback process calling the FFT  of the Accelerate framework. The session has an important CPU usage:  - TheObjective-C version keeps the CPU usage at 8%  - The  Swift version is on average at 20%. I have isolated the code that  originates the increase and it is due to a method analysing the returned samples in order to summarize them. Parameters: arrMagCount = 12 arrMag is an array of float containing the magnitude of the frequency range related to the index samplesCount = 4096 samples is a pointer of a float array delivering the magnitude of each bins used Result:  Each arrMag[index] is updated with the magnitude related to the range of frequency underlying the index The Objective-C version calls a C process for the  function The Swift version was developped in swift since we cannot mix C code and Swift code in the same source     func arrMagFill(arrMagCount:Int, samplesCount:Int, samples:UnsafePointer<Double>, arrMag:UnsafeMutablePointer<Float>, maxFrequency:CGFloat) {         // Zeroes arrMag.         memset(arrMag, 0, arrMagCount)         for iBin in 0..<samplesCount {             for iLoop in 0..<arrMagCount {                 if maxFrequency  <  g.FreqMetersRangeMaxValue[iLoop] {                     arrMag[iLoop] = Float(samples[Int(iBin)])                     break                 }             }         }     } When I use a C equivalent code via an Objective-C  bridge Header, the CPU usage is back to [8..12] on average. Is there a way in Swift to obtain directly the same performances ?