This study aimed to evaluate the inter-unit reliability of global navigation satellite systems (GNSS) STATSports Apex metrics and to assess which metrics can be used by practitioners for the monitoring of short-distance intermittent running activities. Fifty-four male soccer players were enrolled (age = 20.7 ± 1.9 years, body mass = 73.2 ± 9.5 kg, and height = 1.76 ± 0.07 m) in this observational study. 10-Hz GNSS Apex (STATSports, Northern Ireland, Newry) units recorded total distance, high speed running (HSR), accelerations, decelerations, peak speed, average metabolic power, metabolic distance, dynamic stress load (DSL), relative distance, and speed intensity. The standardized intermitted running protocol used was a Yo-yo intermittent recovery level 1. This study reported that Apex inter-unit analysis did not show any significant difference (delta difference and 95% CIs) in total distance = 2.6 (-2.6; 7.9) m, HSR = 3.2 (-0.2; 6.8) m, accelerations = 0.09 (-0.9; 1.1), decelerations = 0.3 (-0.4; 1.1), peak speed = 0.02 (-0.03; 0.07) m.s-1, average metabolic power = 0.01 (-0.02; 0.04) W.kg-1, metabolic distance = 0.9 (-6.2; 8,0) m, DSL = 2.8 (-5.6; 10.7) au, relative distance = 0.14 (-0.19;0.47) m.min-1, and speed intensity = 0.21 (-0.21; 0.64) au. All metrics presented a delta d between trivial to small. The inter-unit intra-class correlation coefficient (ICC) was good or excellent for all metrics, with the exception of DSL, which was considered questionable. In conclusion, this study reports that all the metrics analysis in this study presents a low inter-unit bias and high reliability (ICC), with the exception of DSL