Device comparisons

Apple Watch Ultra 2 vs Garmin Fenix 8: Specs Guide

Choose the Garmin Fenix 8 if battery life, built-in mapping, and training tools come first. Choose the Apple Watch Ultra 2 if you use an iPhone and value tighter Apple integration, cellular connectivity, and a brighter specified display. Both offer optical heart-rate sensing, multi-band positioning, ECG support in eligible regions, and a 40 m recreational dive rating. This comparison uses the 49 mm Ultra 2 and 47 mm Fenix 8 AMOLED as the clearest like-for-like models.

Devices

ChatPPG comparison of Apple Watch Ultra 2 and Garmin Fenix 8 (47 mm AMOLED). Product photographs, not a measurement.

Apple Watch Ultra 2, black titanium with an olive Alpine Loop: product photograph from Apple Newsroom, September 2024. Garmin fēnix 8 47 mm AMOLED, slate gray case with a black silicone band (part 010-02904-00): product photograph from Garmin.

At a glance

This page does not list head-to-head accuracy numbers, so the scoreboard shows hardware differences only.

SpecificationApple Watch Ultra 2Garmin Fenix 8 (47 mm AMOLED)
Compared modelDiffers49 mm titanium case47 mm AMOLED case
Optical sensingDiffersThird-generation optical heart sensor; blood oxygen sensorWrist-based heart rate, Pulse Ox, and HRV Status
Battery claimDiffersUp to 36 hours normal use; up to 72 hours in Low Power ModeUp to 16 days with gesture; up to 7 days with always-on display
PositioningDiffersL1+L5 precision dual-frequency GPSMulti-band GPS with SatIQ
Maps and navigationDiffersOffline maps, U.S. topographic park maps, waypoints, and BacktrackTopoActive maps, courses, turn-by-turn directions, and dynamic round-trip routing
Water and divingDiffers100 m water resistance; recreational diving to 40 m10 ATM water rating; recreational diving to 40 m

Primary rows only. The study tables further down list more results from the accuracy database.

Hardware specs

SpecificationApple Watch Ultra 2Garmin Fenix 8 (47 mm AMOLED)
Compared modelDiffers49 mm titanium case47 mm AMOLED case
Optical sensingDiffersThird-generation optical heart sensor; blood oxygen sensorWrist-based heart rate, Pulse Ox, and HRV Status
Battery claimDiffersUp to 36 hours normal use; up to 72 hours in Low Power ModeUp to 16 days with gesture; up to 7 days with always-on display
PositioningDiffersL1+L5 precision dual-frequency GPSMulti-band GPS with SatIQ
Maps and navigationDiffersOffline maps, U.S. topographic park maps, waypoints, and BacktrackTopoActive maps, courses, turn-by-turn directions, and dynamic round-trip routing
Water and divingDiffers100 m water resistance; recreational diving to 40 m10 ATM water rating; recreational diving to 40 m
ECGECG app; availability and eligibility restrictions applyECG app; availability and eligibility restrictions apply
DisplayDiffersAlways-On Retina LTPO2 OLED; up to 3000 nitsAMOLED

Hardware only. Study results are not repeated in this table. Differs marks values that are not the same. An em dash means this page did not publish that figure.

Specs verified on August 17, 2026: Apple Watch Ultra 2 technical specifications, Garmin Fenix 8 product and feature overview, Garmin Fenix 8 battery information, Garmin Fenix 8 specifications.

Pros and cons

Apple Watch Ultra 2

Pros

  • Up to 3000-nit always-on display
  • Built-in cellular connectivity and dual-frequency GPS
  • ECG app, irregular rhythm notifications, and optical heart-rate sensing
  • iPhone and Apple Health integration

Cons

  • Up to 36 hours of normal use is much shorter than the Fenix 8 claim
  • Requires a compatible iPhone
  • Only one 49 mm case size

Garmin Fenix 8 (47 mm AMOLED)

Pros

  • Up to 16 days in smartwatch mode with gesture display
  • TopoActive mapping and extensive training features
  • AMOLED and solar options across multiple case sizes
  • Multi-band GPS with SatIQ

Cons

  • ECG app availability depends on region and software
  • Preloaded multi-continent TopoActive maps are limited to Sapphire versions
  • Base Fenix 8 models do not include the LTE and satellite features of Fenix 8 Pro

What published studies show

One table per metric. These rows come from the accuracy database and are not repeated as a second card list. From the wearable accuracy database (v1.0.0).

Heart rate at rest3 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 9 / Ultra 25.91% (MAE 3.73 bpm)Mean absolute percentage errorPolar H10 + Kubios HRVn = 39, Serial morning measurements over 14 days, 316 readingsO'Grady et al. (2024)Independent
Apple Watch Series 6R-R intervals and BPM at rest1.15%Mean absolute percentage errorECGn = 78, Lab: rest, talking, movie, before/after walkingBonneval et al. (2025)Independent
Garmin Vivoactive 4ρc = 0.9998Lin's concordance correlationECGn = 263, 30-min standardised recordingTheurl et al. (2023)Independent

Heart rate accuracy across devices →

Heart rate during exercise9 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 6High agreement in squat, deadlift, cable row (rho > 0.832)Study finding (no single number)ECG chest strap (Polar H7/H10)n = 29, Resistance exercise (5 exercises)Støve et al. (2022)Funding not reported
Apple Watch SESignificantly lower MAE than Polar Pacer Pro and Galaxy Watch 6Study finding (no single number)ECG chest strap (Polar H7/H10)n = 37, Low/moderate/high-intensity treadmillJeong et al. (2026)Independent
Apple Watch Series 8Skin pigmentation did not predict error (P = 0.62); 50% of missing data from dark-skin participantsStudy finding (no single number)ECG chest strap (Polar H7/H10)n = 28, Rest, cycling, recoveryMulholland et al. (2026)Independent
Apple Watch Series 9Less accurate for darker skin pigmentationStudy finding (no single number)ECG chest strap (Polar H7/H10)n = 30, 10-min treadmillChase et al. (2024)Independent
More results (2)
Device testedResultReferenceSampleStudy
Apple Watch Series 40.9%–4.3% (range by intensity)Coefficient of variationECG chest strap (Polar H7/H10)n = 25, Sitting, walking, running, sprintsDüking et al. (2020)Independent
Apple Watch Series 6< 5% in all 5 activitiesCoefficient of variationECG chest strap (Polar H7/H10)n = 60, Sitting, walking, running, resistance, cyclingHajj-Boutros et al. (2023)Funding not reported

6 more results in the database. Heart rate accuracy across devices →

Overnight heart rate1 study

Device testedResultReferenceSampleStudy
Apple Watch Series 6ICC 0.96Intraclass correlationECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded
Apple Watch Series 61.5 bpm (absolute bias)Mean absolute errorECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded
Garmin Forerunner 245 MusicICC 0.41Intraclass correlationECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded
Garmin Forerunner 245 Music5.4 bpm (absolute bias)Mean absolute errorECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded

Heart rate accuracy across devices →

HRV (RMSSD)4 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 9 / Ultra 228.88% (MAE 20.46 ms)Mean absolute percentage errorPolar H10 + Kubios HRVn = 39, Serial morning measurements over 14 days, 316 readingsO'Grady et al. (2024)Independent
Apple Watch Series 6ICC 0.67Intraclass correlationECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded
Apple Watch Series 622.5 ms (absolute bias)Mean absolute error (absolute bias)ECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded
Garmin Fenix 610.52%Mean absolute percentage errorECGn = 13, Home, during sleep, 536 nightsDial et al. (2025)Independent
More results (2)
Device testedResultReferenceSampleStudy
Garmin Fenix 60.87Lin's concordance correlationECGn = 13, Home, during sleep, 536 nightsDial et al. (2025)Independent
Garmin Forerunner 245 MusicICC 0.24Intraclass correlationECGn = 53, Overnight, sleep laboratoryMiller et al. (2022)Other maker funded

2 more results in the database. HRV accuracy across devices →

Sleep stages (4-stage)4 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 8κ = 0.53Cohen's kappaPolysomnography (PSG)n = 62, Sleep laboratory, 1 nightSchyvens et al. (2025)Funding not reported
Apple Watch Series 850.5–86.1% (range across stages)SensitivityPolysomnography (PSG)n = 35, Inpatient, 1 nightRobbins et al. (2024)Other maker funded
Apple Watch Series 8deep sleep durationDeep sleep −43 minMean bias (signed)Polysomnography (PSG)n = 35, Inpatient, 1 nightRobbins et al. (2024)Other maker funded
Apple Watch Series 653%Epoch-by-epoch agreementPolysomnography (PSG)n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn togetherMiller et al. (2022)Other maker funded
More results (2)
Device testedResultReferenceSampleStudy
Apple Watch Series 6κ = 0.20Cohen's kappaPolysomnography (PSG)n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn togetherMiller et al. (2022)Other maker funded
Apple Watch Series 8κ = 0.3Cohen's kappaPolysomnography (PSG)n = 26, Two Korean sleep centres, in-lab PSGLee et al. (2023)Independent

4 more results in the database. Sleep accuracy across devices →

Sleep vs wake (2-stage)4 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 8> 90% (all devices)SensitivityPolysomnography (PSG)n = 62, Sleep laboratory, 1 nightSchyvens et al. (2025)Funding not reported
Apple Watch Series 8≥ 95%SensitivityPolysomnography (PSG)n = 35, Inpatient, 1 nightRobbins et al. (2024)Other maker funded
Apple Watch Series 688%Epoch-by-epoch agreementPolysomnography (PSG)n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn togetherMiller et al. (2022)Other maker funded
Apple Watch Series 6κ = 0.30Cohen's kappaPolysomnography (PSG)n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn togetherMiller et al. (2022)Other maker funded
More results (2)
Device testedResultReferenceSampleStudy
Garmin Vivosmart 4> 90% (all devices)SensitivityPolysomnography (PSG)n = 62, Sleep laboratory, 1 nightSchyvens et al. (2025)Funding not reported
Garmin Fenix 5SWorse than actigraphyStudy finding (no single number)Polysomnography (PSG)n = 34, Sleep laboratory, 3 nights incl. disrupted nightChinoy et al. (2021)Funding not reported

3 more results in the database. Sleep accuracy across devices →

Total sleep time1 study

Device testedResultReferenceSampleStudy
Garmin Forerunner 945MAE 84.63 min (overestimate)Mean absolute errorPolysomnography (PSG)n = 49, 1 night PSG + MSLTBudig et al. (2022)Independent

Sleep accuracy across devices →

Blood oxygen (SpO2)11 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 73.5% (rest)Root-mean-square errorMedical-grade pulse oximetern = 36, Rest, COPD outpatientsStøve et al. (2023)Funding not reported
Apple Watch Series 6r = 0.89Pearson correlationMedical-grade pulse oximetern = 265, Spot readingsSpaccarotella et al. (2022)Independent
Apple Watch Series 6−0.23 (LoA −3.49 to 3.04)Mean bias (signed)Medical-grade pulse oximetern = 265, Spot readingsSpaccarotella et al. (2022)Independent
Apple Watch Series 72.2% (RMSE 2.9%)Mean absolute errorMedical-grade pulse oximetern = 49, Spot readings, with and without chronic pulmonary diseaseJiang et al. (2023)Independent
More results (2)
Device testedResultReferenceSampleStudy
Apple Watch Series 72.9%Root-mean-square errorMedical-grade pulse oximetern = 49, Spot readings, with and without chronic pulmonary diseaseJiang et al. (2023)Independent
Apple Watch Series 8Met ISO RMS ≤ 4% at normoxia and SpO2 < 90%; lowest bias and RMSD of the threeStudy finding (no single number)Medical-grade pulse oximetern = 18, Induced hypoxemia (FiO2 14%, 12%, 10%), ISO 80601-2-61Walzel et al. (2023)Independent

10 more results in the database. SpO2 accuracy across devices →

Atrial fibrillation detection4 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 6smartwatch ECG app, inconclusive tracings counted85% (spec 75%)Sensitivity12-lead ECGn = 201, Tertiary cardiology service, single-lead ECG algorithmsMannhart et al. (2023)Funding not reported
Apple Watch Series 6smartwatch ECG app, inconclusive tracings counted75%Specificity12-lead ECGn = 201, Tertiary cardiology service, single-lead ECG algorithmsMannhart et al. (2023)Funding not reported
Apple Watch + KardiaBand (SmartRhythm 2.0)AF episodes ≥ 1 h97.5% episode sensitivity (PPV 39.9%)SensitivityInsertable cardiac monitorn = 24, Ambulatory, 31,348.9 h of recordingsWasserlauf et al. (2019)Funding not reported
Apple Watch (irregular rhythm notification)PPG irregular pulse notificationPPV 0.84 (95% CI 0.76–0.92)Positive predictive valueECG patchn = 419297, Siteless pragmatic study; ECG patch after notificationPerez et al. (2019)Maker funded
More results (1)
Device testedResultReferenceSampleStudy
Kardia Band on Apple Watch (single-lead ECG)automated ECG read; 57 of 169 recordings non-interpretableSens 93% / spec 84% (interpretable recordings)Sensitivity12-lead ECGn = 100, Before and after cardioversionBumgarner et al. (2018)Funding not reported

AFib accuracy across devices →

VO2max estimate6 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 1013.2% (MAE 6.79 mL/kg/min)Mean absolute percentage errorIndirect calorimetryn = 40, Maximal treadmill test (modified Åstrand)Lambe et al. (2026)Independent
Apple Watch13.31% (MAE 6.92 mL/kg/min)Mean absolute percentage errorIndirect calorimetryn = 30, Maximal treadmill test (modified Åstrand)Lambe et al. (2025)Independent
Apple Watch Series 715.79% (ICC 0.47)Mean absolute percentage errorIndirect calorimetryn = 19, Graded cycle ergometer testCaserman et al. (2024)Independent
Garmin Forerunner 2457.9% / 7.2% (two runs)Mean absolute percentage errorIndirect calorimetryn = 35, Treadmill ramp testEngel et al. (2026)Funding not reported
More results (2)
Device testedResultReferenceSampleStudy
Garmin Fenix 67.05% (CCC 0.73)Mean absolute percentage errorIndirect calorimetryn = 19, Graded exercise test and outdoor runCarrier et al. (2025)Independent
Garmin Forerunner 920XT7.3%Mean absolute percentage errorIndirect calorimetryn = 24, LabPassler et al. (2019)Independent

VO2max accuracy across devices →

Energy expenditure (calories)6 studies

Device testedResultReferenceSampleStudy
Apple Watch Series 9Inconsistent across all groupsStudy finding (no single number)Indirect calorimetryn = 30, 10-min treadmillChase et al. (2024)Independent
Apple Watch Series 413.5%–27.1% (range by intensity)Coefficient of variationIndirect calorimetryn = 25, Sitting, walking, running, sprintsDüking et al. (2020)Independent
Apple Watch Series 614.68–24.85% (poor in all activities)Coefficient of variationIndirect calorimetryn = 60, Sitting, walking, running, resistance, cyclingHajj-Boutros et al. (2023)Funding not reported
Apple Watch Series 8physical activity energy expenditure, 10 min+21.6 kcalMean bias (signed)Indirect calorimetryn = 52, 10-min recumbent cycling intervalsKostrna et al. (2026)Independent
More results (2)
Device testedResultReferenceSampleStudy
Apple Watch Series 6walking19.8% walk / 24.4% runMean absolute percentage errorIndirect calorimetryn = 20, Outdoor 2-km walk (6 km/h) and run (10 km/h)Le et al. (2022)Independent
Apple WatchLowest EE error of 7 devices, but no device below 20%Study finding (no single number)Indirect calorimetryn = 60, Sitting, walking, running, cyclingShcherbina et al. (2017)Independent

3 more results in the database. Calories accuracy across devices →

Verdict

The Fenix 8 is the stronger expedition and endurance choice because its stated smartwatch battery life is measured in days rather than hours, and Garmin makes mapping and training analysis central to the watch. The Ultra 2 is the better fit for an iPhone owner who wants cellular access and Apple's watch, phone, and health features in one system. Official specifications do not establish which watch has more accurate exercise heart rate, so this page does not declare a sensor-accuracy winner.

Frequently asked questions

Has anyone tested Apple Watch Ultra 2 vs Garmin Fenix 8 accuracy head to head?

We found no peer-reviewed head-to-head validation of Ultra 2 versus Fenix 8. Published studies tested earlier models: for example, Apple Watch reached 0.92 concordance with ECG versus 0.81 for a Garmin Forerunner 235 in Gillinov et al. (2017). Treat that as brand-level evidence, not a verdict on these two watches.

Which has better battery life: Apple Watch Ultra 2 or Garmin Fenix 8?

Garmin states up to 16 days for the 47 mm Fenix 8 AMOLED with gesture display, or up to 7 days with the always-on display. Apple states up to 36 hours of normal use or 72 hours in Low Power Mode for Ultra 2. Actual battery life varies with settings and use.

Do Apple Watch Ultra 2 and Garmin Fenix 8 both have ECG?

Yes. Both support an ECG app, but availability, minimum age, compatible software, and regional restrictions apply. Check Apple and Garmin availability pages before buying for this feature.

Which watch has more accurate heart rate tracking?

The manufacturers' specification pages do not provide a controlled head-to-head accuracy result. Accuracy can also change with fit, activity, skin contact, and software. A defensible winner requires independent testing of the exact models under the activity you care about.

Does this page compare Ultra 2 or Ultra 4?

This page compares Apple Watch Ultra 2 and Garmin Fenix 8 using specifications verified on the date shown above in the 'Specs verified' field. It does not cover newer Apple Watch Ultra models that may have been released after that date. Check Apple's current product lineup to see which Ultra model is currently available.

Device research records

Datasets, papers and validation results for the models named on this page.

Other comparisons

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