In ultrasound imaging, strong variations in the tissue's acoustic impedance give rise to multiple scattering. While these are not accounted for in established reconstruction concepts like linear synthetic aperture (SA) focusing and delay-and-sum (DAS) beamforming, nonlinear diffraction tomographic reconstruction algorithms have been developed to reconstruct an object's inner structure under multiple scattering. In this contribution, we employ a proposed iterative nonlinear compressibility reconstruction algorithm to evaluate the potential image reconstruction quality numerically in contrast to SA- and DAS reconstructions. Using the same simulated unidirectional pulse-echo measurements acquired from a numercial breast phantom with realistic compressibility values, the nonlinear approach provides reconstructions with relative errors of about 1.54 % within the diagnostically significant region, whereas SA and DAS yield artifact-affected reconstructions mainly showing tissue boundaries with less detail. Moreover, applying simulated measurements acquired from a numerical wire phantom, we validate the potential axial and lateral resolutions of all three methods. The −6 dB axial resolution of the nonlinear approach outperforms those obtained by SA and DAS; the nonlinear approach and SA provide similar −6 dB lateral resolutions outperforming DAS.