I'm trying to benchmark a Core Image filter chains memory footprint and notice a weird quirk in instruments.
On a real device, even with a simple Core Image chain, the memory balloons each time I ran the filter. See attached screen shots.
Running on iPhone 17 Pro:
Running on simulator (M2 Macbook Pro)
As you can see there's a huge build up of 4MB "VM: IOSurface" memory on the real device, but the simulator seems to clean it up correctly.
Here's my basic code:
func processImage() {
guard let inputImage = ContentViewModel.loadImageFromBundle(name: "kitty.HEIC") else {
print("Failed to load sample_image from bundle")
return
}
var outputImage = inputImage
outputImage = outputImage.applyingFilter("CIBloom", parameters: [
kCIInputRadiusKey: 20,
kCIInputIntensityKey: 0.8
])
DispatchQueue.global(qos: .userInitiated).async {
let data = self.context.jpegRepresentation(of: outputImage, colorSpace: CGColorSpace(name: CGColorSpace.sRGB)!)
if let data = data, let uiImage = UIImage(data: data) {
DispatchQueue.main.async {
self.displayImage = Image(uiImage: uiImage)
}
}
}
}
Why is this happening? Seems like a bug to me or I need to release an object. At the very least makes it challenging to measure memory usage.
Any help is greatly appreciated. Alex