In a previous work, a machine learning model was trained using numerical simulations in order to predict intonation and playability descriptors of trumpets from the bore geometry [Petiot et al., Acusticum 2023]. Using this technology, a numerical design procedure was conducted where a new lead pipe geometry was proposed using a bi-objective optimization on the Equivalent Fundamental Pitch (EFP) and minimum blowing pressure (Pthres) computed over five regimes. This recommendation led to a lead pipe numerical prototype that was manufactured by Yamaha Corporation of Japan. In this paper we present recent investigations conducted on this hardware lead pipe prototype in order to compare the performances of the real instrument with the numerical expectations in the design phase. At first, impedance measurements and computation of the EFP and Pthres descriptors were performed from these measurements in order to compare the results with the numerical prototype. In a second step playing tests with musicians were conducted in order to assess perceived differences between the original and prototyped lead pipe. These results will be discussed in light of the potential sources of uncertainties through the whole procedure, from the model to the perception.