These results do not look different to me, in the sense that I would not change my interpretation based on so minuscule discrepancies. Any difference you think you detect can be considered rounding error. Perhaps the most important factor that needs addressing in the issue you are facing is the psychological bias towards an arbitrary threshold. Having said that, I see that one test reports t-values and the other z-values. Given you small sample size, I'd venture to guess that your sample displays minor deviations from the normal distribution that prevent the values from being more close to one another.

These results do not look different to me, in the sense that I would not change my interpretation based on so minuscule discrepancies. Any difference you think you detect can be considered rounding error. Perhaps the most important factor that needs addressing in the issue you are facing is the psychological bias towards an arbitrary threshold. Having said that, I see that one function reports t-values and the other z-values. Given you small sample size, I'd venture to guess that your sample displays minor deviations from the normal distribution that prevent the values from being more close to one another.