This dataset contains the raw latency measurements used in the evaluation of a Trusted Execution Environment (TEE)-based multi-model consistency checker, as presented in the accompanying research paper. The dataset was collected to quantify the runtime overhead introduced by executing a cross-organizational consistency checker inside an Intel SGX enclave compared to native execution. The measurements were obtained by repeatedly executing consistency checking scenarios under two configurations: (1) baseline execution without a TEE and (2) execution inside an SGX enclave using the Occlum LibOS. The scenarios vary in the number of checked model elements, the number of data requests issued by the checker, and the number of performed rule evaluations. Both single-element checks and recursive checks over larger model structures were evaluated. The dataset contains timestamp-derived latency measurements for each individual run, along with metadata describing the corresponding scenario, including trigger component, check type (single or recursive), presence of simulated inconsistencies, number of checked elements, number of data requests, and number of rule evaluations. Each scenario was executed at least 100 times to account for runtime variability in a cloud-based environment. In total, the dataset comprises 2,800 individual latency measurements across all evaluated scenarios and configurations.