The detection and classification of packers serve as a fundamental approach in the study of malware unpacking. In our research, we employ Hardware Performance Counters (HPCs) as features for our classification process. Hardware Performance Counters are integrated into a processor’s Performance Monitoring Unit. The advantages of utilizing hardware performance counters include low overhead access and obviating the need for source code. By selecting hardware features relevant to the unpacking process, we train machine learning classifiers in a supervised learning manner. In our study, we investigate the use of hardware performance counters for the classification purpose of binary packers. Our findings indicate that when configured to alleviate nondeterminism, Hardware Performance Counters possess the capability and potential to classify prevalent packers that are readily accessible.