What are performance tuning for Core ML in Swift?

// Example of optimizing Core ML performance in Swift
import CoreML

// Load your Core ML model
guard let model = try? YourModel(configuration: MLModelConfiguration()) else {
    print("Failed to load model")
    return
}

// Optimize input data before prediction
let input = YourModelInput(data: normalizedData)

// Perform prediction
let start = CFAbsoluteTimeGetCurrent()
guard let output = try? model.prediction(input: input) else {
    print("Prediction failed")
    return
}
let duration = CFAbsoluteTimeGetCurrent() - start
print("Prediction time: \(duration) seconds")

// Use batching if applicable
let batchedInputs = ... // Prepare batched inputs
let batchedResults = try? model.prediction(input: batchedInputs)