Right, but I mean that HMC has parameters to tune and multiples the computation needed per sample produced so it's not clear to me for which problems it's significantly beneficial and with how much tuning. I'd guess it's best where you otherwise don't have a good proposal distribution for Metropolis-Hastings leading to either many rejects or very slow mixing.