Apps Like Benchmark Workout Tracker for iPhone and iPad
Benchmark Workout Tracker screenshots
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.
GAINSFIRE Workout Tracker
Raoul Schrievers
Track sets, weights, and progress
Track workouts, record sets and weights, and monitor progress over time. Create custom routines, add exercises from a catalog, or input your own. Log performance manually similar to a paper diary. View progress charts and adjust training goals.
MesoBuilder
Devin Tassin
Track progress with structured mesocycles
Plan and track structured strength-training programs with mesocycle blocks. Log sets and reps, monitor progress, and organize training data without spreadsheets. Use widgets and timers for real-time workout tracking.
WOD Timer by Atlon
Glasswing ApS
Track exercises, heart rate, and performance metrics
Track workouts automatically without manual input. Use integrated timers on Apple Watch for AMRAP, EMOM, FOR TIME, and TABATA. Monitor training insights beyond heart rate data. Set and manage workout sessions remotely.
Olympus: Gym Log and Community
Project Olympus LLC
Track workouts, connect with friends, join a
Track workouts with detailed logging of lifts, reps, and notes. View progress through charts and historical data. Connect with teammates or coaches to share routines and compete in challenges.
StrengthMark
Salt River Software, LLC
Track progress, plan workouts, log lifts
Track progress with detailed workout logs and performance metrics. Set and monitor personal records for lifts. Plan and customize training programs for powerlifting, strongman, olympic weightlifting, or general strength training.
Protocol — Compliance Engine
Rizfel Kei Tolentino
Track progress, eat smart, train daily
Track progress by logging workouts, meals, and sleep. Analyze weekly patterns to identify trends in training, nutrition, and recovery. Receive feedback on missed days to maintain consistency without judgment. Set goals and monitor habits over time.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.