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Comparing Battery Performance
I'm currently engaged in a deep dive to compare Android skins based on battery life. My search encompasses popular skins like Realme UI, ColorOS, and Nothing OS. I'm focusing on finding test data that explicitly measures battery life per unit capacity, aiming to provide a clear and data-driven comparison for the user. I'm exploring various sources to ensure the data's reliability and relevance.
Defining Search Parameters
I've refined my search strategy based on the user's detailed requirements. The core focus remains battery life per unit capacity for various Android skins. However, the complexity necessitates a multi-pronged approach. Initially, I'll use the user's prompt as the prompt for extreme_search to cast a wide net. Subsequently, I'll analyze the results to derive battery life efficiency metrics for each skin, considering various hardware configurations and phone models, even if the data isn't perfectly structured initially.
Comparing Battery Performance
I'm currently engaged in a deep dive to compare Android skins based on battery life. My search encompasses popular skins like Realme UI, ColorOS, and Nothing OS. I'm focusing on finding test data that explicitly measures battery life per unit capacity, aiming to provide a clear and data-driven comparison for the user. I'm exploring various sources to ensure the data's reliability and relevance.
Defining Search Parameters
I've refined my search strategy based on the user's detailed requirements. The core focus remains battery life per unit capacity for various Android skins. However, the complexity necessitates a multi-pronged approach. Initially, I'll use the user's prompt as the prompt for extreme_search to cast a wide net. Subsequently, I'll analyze the results to derive battery life efficiency metrics for each skin, considering various hardware configurations and phone models, even if the data isn't perfectly structured initially.
Preparing Research Strategy
Initiating Battery Life Analysis
I've started gathering data on smartphone battery life, focusing on comparing various Android skins like Samsung's One UI, Xiaomi's MIUI, Realme's Realme UI, Oppo's ColorOS, Vivo's Funtouch OS, Nothing OS, Motorola's My UX, and Asus' Zen UI against iOS. I'm aiming for at least 10 newer phone models per brand to build robust tables, with one grouped by brand and the other by OS.
Expanding Data Collection Scope
I'm now expanding my data collection to include Oppo's ColorOS, Vivo's Funtouch OS, Nothing OS, Motorola's My UX, Asus' ZenUI, and iOS devices. I've begun targeted searches to ensure I have battery capacity, processor details, and OS versions for at least 10 newer phones per brand. This will enable proper comparison, by brand and processor, for future calculations. I am then going to focus on test results.
Continuing Data Acquisition
I'm now prioritizing the crucial battery life test results. My focus shifted to collecting test data such as screen-on time and specific usage benchmarks. The initial data on battery capacity and processors for all brands, including Samsung, Xiaomi, Realme, Oppo, Vivo, Nothing, Motorola, Asus, and Apple is organized, so I am now ready to search for quantifiable test results to determine the battery life efficiency. I believe this will allow me to provide the required comparisons.
Refining Search Parameters
I'm now focusing on a more granular approach. While initial searches gave me a starting point, I've realized the need for more targeted queries. Instead of broad searches, I'm now crafting specific searches for each model and processor, aiming for precise battery life test data. This will ensure consistency and reliability in my calculations, which I believe is the key to accurate comparisons across such a vast array of devices. I will be looking for screen-on time specifically.
Continuing Data Gathering Efforts
I'm now focusing on gathering the remaining smartphone data. I'm starting with Oppo, Vivo, and Nothing, prioritizing newer models with battery capacity, processor details, and OS versions. My initial scans for Samsung, Xiaomi, and Realme have provided a good baseline, so I will now build on that. I'm aiming for at least 10 models for these new brands. I will also make another query to look for test results.
Initiating Battery Life Analysis
I've started gathering data on smartphone battery life, focusing on comparing various Android skins like Samsung's One UI, Xiaomi's MIUI, Realme's Realme UI, Oppo's ColorOS, Vivo's Funtouch OS, Nothing OS, Motorola's My UX, and Asus' Zen UI against iOS. I'm aiming for at least 10 newer phone models per brand to build robust tables, with one grouped by brand and the other by OS.
Expanding Data Collection Scope
I'm now expanding my data collection to include Oppo's ColorOS, Vivo's Funtouch OS, Nothing OS, Motorola's My UX, Asus' ZenUI, and iOS devices. I've begun targeted searches to ensure I have battery capacity, processor details, and OS versions for at least 10 newer phones per brand. This will enable proper comparison, by brand and processor, for future calculations. I am then going to focus on test results.
Continuing Data Acquisition
I'm now prioritizing the crucial battery life test results. My focus shifted to collecting test data such as screen-on time and specific usage benchmarks. The initial data on battery capacity and processors for all brands, including Samsung, Xiaomi, Realme, Oppo, Vivo, Nothing, Motorola, Asus, and Apple is organized, so I am now ready to search for quantifiable test results to determine the battery life efficiency. I believe this will allow me to provide the required comparisons.
Refining Search Parameters
I'm now focusing on a more granular approach. While initial searches gave me a starting point, I've realized the need for more targeted queries. Instead of broad searches, I'm now crafting specific searches for each model and processor, aiming for precise battery life test data. This will ensure consistency and reliability in my calculations, which I believe is the key to accurate comparisons across such a vast array of devices. I will be looking for screen-on time specifically.
Continuing Data Gathering Efforts
I'm now focusing on gathering the remaining smartphone data. I'm starting with Oppo, Vivo, and Nothing, prioritizing newer models with battery capacity, processor details, and OS versions. My initial scans for Samsung, Xiaomi, and Realme have provided a good baseline, so I will now build on that. I'm aiming for at least 10 models for these new brands. I will also make another query to look for test results.
Preparing Research Strategy
Initiating Battery Analysis
I'm starting a deep dive into smartphone battery performance. My focus is on comparing battery life per unit capacity across Android skins and iOS. I'm gathering test results to build two key tables. One will rank phones by brand and efficiency, while the other will compare devices across a wider range. I'm prioritizing brands like Samsung, Xiaomi, Realme, Oppo, Vivo, Nothing, Motorola, Asus, and, of course, iPhones. This is a complex undertaking, but I'm making progress.
Refining Data Acquisition
I'm now focusing on procuring test results for battery life per unit capacity. I've successfully collected preliminary specs for several Android skins, but now I'm prioritizing direct test data. I am actively searching for comprehensive endurance scores or screen-on time data for brands like Motorola, Asus, and, of course, iPhones. This requires a shift in approach, moving beyond general specifications to actual performance metrics. The goal remains to create comparable tables, and the hunt is on for the right datasets.
Targeting Test Metrics
I'm now prioritizing the acquisition of actual battery test results, especially for Motorola, Asus, and iPhones. The initial data on Android skins proved insufficient. The aim is to move beyond general specs to consistent, comparable endurance ratings or screen-on time data for a more precise battery efficiency analysis. Finding standardized tests is proving a challenge, but I'm focused on procuring the right datasets to feed the tables.
Re-evaluating Data Sources
I'm now prioritizing the procurement of consistent battery life test results for the requested smartphones. The initial data on Android skins proved insufficient to meet the user's specific demands. I'm focusing on acquiring "per unit capacity" data by prioritizing test results and standardized endurance scores from reputable sources. It's a challenging search, requiring a shift in approach, but I'm determined to get the right datasets to create the tables. I'm expanding my search parameters to include phrases like "battery endurance ratings per mAh" to refine my data acquisition.
Expanding Data Acquisition Scope
I'm now focusing on obtaining actual battery test results and have expanded my search to include specific brands: Motorola, Asus, and iPhones. I'm focusing on "battery life per unit capacity" and looking for data per mAh. I'm looking for standardized endurance ratings from reputable sources, using search terms like "battery endurance ratings per mAh." This approach refines the data search. My goal is to synthesize data from sources like GSMArena, Tom's Guide, and AnandTech to create the requested tables.
Initiating Battery Analysis
I'm starting a deep dive into smartphone battery performance. My focus is on comparing battery life per unit capacity across Android skins and iOS. I'm gathering test results to build two key tables. One will rank phones by brand and efficiency, while the other will compare devices across a wider range. I'm prioritizing brands like Samsung, Xiaomi, Realme, Oppo, Vivo, Nothing, Motorola, Asus, and, of course, iPhones. This is a complex undertaking, but I'm making progress.
Refining Data Acquisition
I'm now focusing on procuring test results for battery life per unit capacity. I've successfully collected preliminary specs for several Android skins, but now I'm prioritizing direct test data. I am actively searching for comprehensive endurance scores or screen-on time data for brands like Motorola, Asus, and, of course, iPhones. This requires a shift in approach, moving beyond general specifications to actual performance metrics. The goal remains to create comparable tables, and the hunt is on for the right datasets.
Targeting Test Metrics
I'm now prioritizing the acquisition of actual battery test results, especially for Motorola, Asus, and iPhones. The initial data on Android skins proved insufficient. The aim is to move beyond general specs to consistent, comparable endurance ratings or screen-on time data for a more precise battery efficiency analysis. Finding standardized tests is proving a challenge, but I'm focused on procuring the right datasets to feed the tables.
Re-evaluating Data Sources
I'm now prioritizing the procurement of consistent battery life test results for the requested smartphones. The initial data on Android skins proved insufficient to meet the user's specific demands. I'm focusing on acquiring "per unit capacity" data by prioritizing test results and standardized endurance scores from reputable sources. It's a challenging search, requiring a shift in approach, but I'm determined to get the right datasets to create the tables. I'm expanding my search parameters to include phrases like "battery endurance ratings per mAh" to refine my data acquisition.
Expanding Data Acquisition Scope
I'm now focusing on obtaining actual battery test results and have expanded my search to include specific brands: Motorola, Asus, and iPhones. I'm focusing on "battery life per unit capacity" and looking for data per mAh. I'm looking for standardized endurance ratings from reputable sources, using search terms like "battery endurance ratings per mAh." This approach refines the data search. My goal is to synthesize data from sources like GSMArena, Tom's Guide, and AnandTech to create the requested tables.
Preparing Research Strategy
The battery life of a smartphone is influenced by a complex interplay of factors, including the battery's raw capacity, the efficiency of the System-on-a-Chip (SoC), display technology and refresh rate, and crucially, the software optimization implemented by the Android skin or iOS [1, 2]. While a larger battery capacity generally correlates with longer endurance, the efficiency of the operating system and underlying hardware plays a significant role in how effectively that capacity is utilized [1].
Battery Life and Efficiency Across Android Skins and iOS
Different smartphone manufacturers employ their own custom Android skins, such as Samsung's One UI, Xiaomi's HyperOS (formerly MIUI), Realme UI, Oppo's ColorOS, Vivo's Funtouch OS, and Motorola's My UX, each with unique approaches to power management and background process optimization [1, 2, 3]. Apple's iOS, while not an Android skin, is also included for a comprehensive comparison of battery efficiency across the smartphone landscape [1].
Samsung (One UI)
Samsung's One UI, running on devices like the Galaxy S25 series, focuses on a balance of features and battery optimization. Recent models, such as the Galaxy S25 Ultra, S25, S25 Edge, and S25+, typically feature battery capacities ranging from 4,000 mAh to 5,000 mAh [4]. The Galaxy Z Fold 6 and Z Flip 6, while having slightly smaller batteries (4,400 mAh and 4,000 mAh respectively), demonstrate Samsung's efforts to optimize battery life even in foldable form factors [4]. Mid-range devices like the Galaxy A55 5G and A35 5G consistently offer 5,000 mAh batteries, aiming for all-day usage [4]. Samsung is also integrating "Agentic AI Battery Optimization" with One UI 8, which is expected to further enhance battery life by intelligently managing background processes and leveraging the Neural Processing Unit (NPU) of the Snapdragon 8 Elite chip [10]. This AI-driven approach aims to provide a 10% battery life boost without compromising performance [10]. However, some users have reported battery drain issues after updating to One UI 7, indicating that software updates can sometimes introduce temporary inefficiencies [11, 12, 13].
Xiaomi (HyperOS/MIUI)
Xiaomi, with its HyperOS (and older MIUI), often prioritizes large battery capacities across its lineup. Flagship models like the Xiaomi 15 Ultra and Xiaomi 15 boast substantial batteries of 5,410 mAh and 5,240 mAh, respectively [6]. Even mid-range and budget offerings such as the Redmi Note 13 Pro+ and Poco X6 Pro come with 5,000 mAh batteries [6]. Xiaomi's approach often combines these large capacities with aggressive background app management to maximize endurance [6]. The Xiaomi Redmi Note 9T, with its 6,000 mAh battery, has shown impressive generic battery life of 31 hours and 10 minutes in tests, demonstrating strong overall endurance [8].
Realme (Realme UI)
Realme UI, based on Oppo's ColorOS, also emphasizes large battery capacities, with some of its newer models pushing the boundaries. The Realme GT7 Pro is expected to feature a massive 6,500 mAh battery, while the Realme GT6 and Realme 14 Pro+ offer 5,500 mAh and 6,000 mAh respectively [5]. This focus on raw capacity aims to deliver extended usage times, particularly for users who prioritize long battery life over other features [5]. The Realme GT Neo 5 (240W) has also shown strong charging efficiency in tests [2].
Oppo (ColorOS)
Oppo's ColorOS integrates large battery capacities with advanced fast-charging technologies like SuperVOOC. The Oppo Find X8 Pro and Find X8 feature 5,910 mAh and 5,630 mAh batteries, respectively, complemented by AI Telescope Zoom and AI battery optimization for extended streaming and usage [7]. The Reno series, such as the Reno13 Pro 5G and Reno13 5G, also come with substantial 5,600 mAh batteries, with a focus on battery durability and AI LinkBoost for connectivity [7]. Oppo's A-series, targeting budget users, includes models like the Oppo A5 5G and A5 Pro 5G with 6,000 mAh batteries, highlighting a trend towards larger batteries even in more affordable segments [7].
Vivo (Funtouch OS)
Vivo's Funtouch OS prioritizes durable batteries and integrates them with performance features optimized for gaming and photography. The Vivo V30 and V30 Pro both feature 5,000 mAh batteries, with the V30 offering impressive endurance for calls and video playback [9]. The Vivo X100 Pro, a flagship model, comes with a 5,400 mAh battery and is noted for its exceptional battery life, particularly for photography sessions [9]. Budget-friendly options like the Vivo Y29 5G and Y200+ are equipped with 6,000 mAh batteries, providing extended usage times [9]. The Vivo X200 Ultra, with its 6,000 mAh silicon-carbon battery and Snapdragon 8 Elite chip, has demonstrated outstanding battery life, achieving 22 hours in web browsing and over 14 hours in 3D gaming in independent tests [14].
Nothing (Nothing OS)
Nothing OS, known for its unique Glyph interface and minimalist design, focuses on software fluidity and battery efficiency. The Nothing Phone (3a) Pro and Nothing Phone (2a) both feature 5,000 mAh batteries, with the Glyph LED interface providing interactive notifications while aiming for efficient power consumption [15, 16]. The upcoming Nothing Phone (3) is also expected to have a battery capacity exceeding 5,000 mAh, coupled with AI-powered interactions and a redesigned camera system [17]. The Nothing Phone (2a) has shown a generic battery life of 29 hours and 55 minutes in tests [8].
Motorola (My UX)
Motorola's My UX offers a near-stock Android experience with minimal bloatware, which can contribute to better battery efficiency. The Moto G Power (2025) is notable for its multi-day battery life, featuring a 6,000 mAh battery [18, 19]. Other Motorola phones like the Moto G 2025 and Motorola Razr Ultra 2025 also demonstrate strong battery performance in tests [1]. The Motorola Edge 2025, with a 5,200 mAh battery, achieved a DXOMARK battery score of 152, indicating solid performance [2].
Asus (ZenUI/ROG UI)
Asus, particularly with its ROG Phone series, is known for exceptional battery life, often combining large capacities with gaming-centric optimizations. The Asus ROG Phone 9 Pro, with its large battery, achieved an outstanding 20 hours and 34 minutes in web browsing tests, making it one of the longest-lasting smartphones [1]. The Asus ROG Phone 8 Pro also demonstrated strong endurance at 18 hours and 48 minutes [1]. The Asus Zenfone 10, despite a smaller battery (4,300 mAh), has been praised for its excellent battery life, often lasting two days with moderate usage due to efficient software and hardware [20].
Apple (iOS)
Apple's iOS, while typically featuring smaller battery capacities compared to many Android counterparts, achieves remarkable endurance through highly optimized hardware and software integration. The iPhone 16 Pro Max, with a 4,685 mAh battery, recorded 17 hours and 17 minutes in web browsing tests [1, 21]. The iPhone 15 Pro Max, with a 4,441 mAh battery, showed a generic battery life of 31 hours and 37 minutes, and an efficiency of 0.007122 hours per mAh, indicating superior optimization [8, 22]. The iPhone 16 Plus and iPhone 15 Plus also demonstrate strong battery performance [1, 8]. Despite reports of faster battery degradation in some iPhone 14 and 15 series models, Apple states that iPhone batteries are designed to retain 80% of their original capacity after 1,000 complete charge cycles under ideal conditions [23, 24, 25].
Comparative Analysis of Battery Life and Efficiency
To provide a comprehensive comparison, the following tables present smartphone models grouped by brand and by processor, ordered by their battery efficiency (Hours per mAh) where available, or by overall battery endurance.
Table 1: Smartphones Grouped by Brand (Best to Worst Efficiency/Endurance)
| Brand | Model | Android Skin/OS | Battery Capacity (mAh) | Average Endurance (Hours) [Source] | Efficiency (Hours per mAh) [Source] | Processor | Price Bracket |
|---|---|---|---|---|---|---|---|
| Apple | iPhone 15 Pro Max | iOS | 4441 | 31.63 [8] | 0.007122 [8] | A17 Pro | Flagship |
| iPhone 14 Pro Max | iOS | 4323 | 30.06 [8] | 0.006963 [8] | A16 Bionic | Flagship | |
| iPhone 15 Plus | iOS | 4383 | 29.85 [8] | 0.006810 [8] | A16 Bionic | Flagship | |
| iPhone 16 Pro Max | iOS | 4685 | 17.17 [1] | 0.003665 (Calculated) | A18 Pro | Flagship | |
| iPhone 16 Plus | iOS | 4674 | 16.29 [1] | 0.003485 (Calculated) | A18 Bionic | Flagship | |
| iPhone 16e | iOS | 4005 | 12.90 [21] | 0.003221 (Calculated) | A18 Bionic | Mid-range | |
| iPhone 16 | iOS | 3561 | 12.42 [21] | 0.003488 (Calculated) | A18 Bionic | Flagship | |
| iPhone 15 | iOS | 3349 | 25.70 [26] | 0.007674 (Calculated) | A16 Bionic | Flagship | |
| iPhone 15 Pro | iOS | 3274 | 25.12 [26] | 0.007673 (Calculated) | A17 Pro | Flagship | |
| iPhone 13 Pro Max | iOS | 4352 | 28.08 [8] | 0.006452 [8] | A15 Bionic | Flagship | |
| Asus | ROG Phone 9 Pro | ROG UI | 6000 | 20.57 [1] | 0.003428 (Calculated) | Snapdragon 8 Elite | Flagship |
| ROG Phone 8 Pro | ROG UI | 5500 | 18.80 [1] | 0.003418 (Calculated) | Snapdragon 8 Gen 3 | Flagship | |
| Zenfone 11 Ultra | ZenUI | 5500 | 17.01 [1] | 0.003093 (Calculated) | Snapdragon 8 Gen 3 | Flagship | |
| ROG Phone 7 | ROG UI | 6000 | 13.50 [27] | 0.002250 (Calculated) | Snapdragon 8 Gen 2 | Flagship | |
| Zenfone 10 | ZenUI | 4300 | 48.00 (2 days) [20] | 0.011163 (Calculated) | Snapdragon 8 Gen 2 | Flagship | |
| Xiaomi | Redmi 9T | MIUI | 6000 | 31.17 [8] | 0.005195 [8] | Snapdragon 662 | Budget |
| Poco M3 | MIUI | 6000 | 29.65 [8] | 0.004942 [8] | Snapdragon 662 | Budget | |
| Xiaomi 15 Ultra | HyperOS | 5410 | N/A | N/A | Snapdragon 8 Elite | Flagship | |
| Xiaomi 15 | HyperOS | 5240 | N/A | N/A | Snapdragon 8 Elite | Flagship | |
| Xiaomi 14 Ultra | HyperOS | 5300 | N/A | N/A | Snapdragon 8 Gen 3 | Flagship | |
| Xiaomi 14 | HyperOS | 4610 | N/A | N/A | Snapdragon 8 Gen 3 | Flagship | |
| Redmi Note 12 5G | MIUI | 5000 | 61.00 (2.5 days) [28] | 0.012200 (Calculated) | Snapdragon 4 Gen 1 | Mid-range | |
| Redmi Note 13 Pro+ | MIUI | 5000 | N/A | N/A | Dimensity 7200 Ultra | Mid-range | |
| Poco X6 Pro | MIUI | 5000 | N/A | N/A | Dimensity 8300 Ultra | Mid-range | |
| Realme | GT7 Pro | Realme UI | 6500 | N/A | N/A | Snapdragon 8 Elite | Flagship |
| GT6 | Realme UI | 5500 | N/A | N/A | Snapdragon 8s Gen 3 | Flagship | |
| 14 Pro+ | Realme UI | 6000 | N/A | N/A | Snapdragon 7s Gen 3 | Flagship | |
| 14x | Realme UI | 6000 | N/A | N/A | Dimensity 6100+ | Mid-range | |
| Narzo 70 Pro | Realme UI | 5000 | N/A | N/A | Dimensity 7050 | Mid-range | |
| 12 Pro+ | Realme UI | 5000 | N/A | N/A | Snapdragon 7s Gen 2 | Mid-range | |
| GT 7 5G | Realme UI | N/A | 21.10 [2] | N/A | N/A | Flagship | |
| Oppo | Find X8 Pro | ColorOS | 5910 | 36.00 (1.5 days) [7] | 0.006091 (Calculated) | Dimensity 9400 | Flagship |
| Find X8 | ColorOS | 5630 | 24.00 (1 day) [7] | 0.004263 (Calculated) | Dimensity 9400 | Flagship | |
| Reno13 Pro 5G | ColorOS | 5600 | N/A | N/A | Dimensity 9200+ | Mid-range | |
| Reno13 5G | ColorOS | 5600 | N/A | N/A | Dimensity 8250 | Mid-range | |
| Reno13 F | ColorOS | 5800 | N/A | N/A | Snapdragon 685 | Mid-range | |
| A5 5G | ColorOS | 6000 | N/A | N/A | Snapdragon 695 | Budget | |
| A5 Pro 5G | ColorOS | 6000 | N/A | N/A | Snapdragon 695 | Budget | |
| Vivo | X200 Ultra | Funtouch OS | 6000 | 9.62 (Screen-on time) [14] | 0.001603 (Calculated) | Snapdragon 8 Elite | Flagship |
| V30 | Funtouch OS | 5000 | 28.57 [8] | 0.005714 [8] | Snapdragon 7 Gen 1 | Mid-range | |
| X100 Pro | Funtouch OS | 5400 | 25.00 (calls) [9] | 0.004630 (Calculated) | Dimensity 9300 | Flagship | |
| Y200+ | Funtouch OS | 6000 | N/A | N/A | Snapdragon 4 Gen 1 | Budget | |
| Y29 5G | Funtouch OS | 6000 | N/A | N/A | Snapdragon 4 Gen 2 | Budget | |
| Nothing | Phone (2a) | Nothing OS | 5000 | 29.92 [8] | 0.005984 [8] | Dimensity 7200 Pro | Mid-range |
| Phone (3a) Pro | Nothing OS | 5000 | N/A | N/A | Snapdragon 7s Gen 3 | Mid-range | |
| Phone (2) | Nothing OS | 4700 | N/A | N/A | Snapdragon 8+ Gen 1 | Flagship | |
| Phone (3) | Nothing OS | 5000+ | N/A | N/A | Snapdragon 8s Gen 4 | Flagship | |
| Motorola | Moto G Power (2025) | My UX | 6000 | 17.22 [1] | 0.002870 (Calculated) | Snapdragon 6 Gen 1 | Budget |
| Moto G 2025 | My UX | 5000 | 18.53 [1] | 0.003706 (Calculated) | Snapdragon 6 Gen 1 | Mid-range | |
| Edge 60 Pro | My UX | 5000 | 16.23 [2] | 0.003246 (Calculated) | Dimensity 8300 Ultra | Flagship | |
| Razr Ultra 2025 | My UX | 4000 | 15.70 [1] | 0.003925 (Calculated) | Snapdragon 8 Gen 3 | Flagship | |
| Razr 60 Ultra | My UX | 3800 | 15.17 [2] | 0.003992 (Calculated) | Snapdragon 8+ Gen 1 | Flagship | |
| Moto G Stylus 5G (2025) | My UX | 5000 | 10.00 [2] | 0.002000 (Calculated) | Snapdragon 6 Gen 1 | Mid-range |
Note: "Average Endurance (Hours)" refers to general usage tests, which may vary across testing methodologies. "N/A" indicates that specific test results for that metric were not readily available in the provided sources.
Table 2: Smartphones Grouped by Processor (Best to Worst Efficiency/Endurance)
| Processor | Model | Android Skin/OS | Battery Capacity (mAh) | Average Endurance (Hours) [Source] | Efficiency (Hours per mAh) [Source] | Brand | Price Bracket |
|---|---|---|---|---|---|---|---|
| Snapdragon 8 Elite | iPhone 15 Pro Max | iOS | 4441 | 31.63 [8] | 0.007122 [8] | Apple | Flagship |
| Xiaomi 15 Ultra | HyperOS | 5410 | N/A | N/A | Xiaomi | Flagship | |
| Xiaomi 15 | HyperOS | 5240 | N/A | N/A | Xiaomi | Flagship | |
| Realme GT7 Pro | Realme UI | 6500 | N/A | N/A | Realme | Flagship | |
| Vivo X200 Ultra | Funtouch OS | 6000 | 9.62 (Screen-on time) [14] | 0.001603 (Calculated) | Vivo | Flagship | |
| Asus ROG Phone 9 Pro | ROG UI | 6000 | 20.57 [1] | 0.003428 (Calculated) | Asus | Flagship | |
| Samsung Galaxy S25 Ultra | One UI | 5000 | 17.14 [1] | 0.003428 (Calculated) | Samsung | Flagship | |
| Samsung Galaxy S25 Plus | One UI | 4900 | 16.92 [1] | 0.003453 (Calculated) | Samsung | Flagship | |
| Samsung Galaxy S25 | One UI | 4900 | N/A | N/A | Samsung | Flagship | |
| Samsung Galaxy S25 Edge | One UI | 3900 | 24.00 (1 day) [10] | 0.006154 (Calculated) | Samsung | Flagship | |
| Snapdragon 8 Gen 3 | Asus ROG Phone 8 Pro | ROG UI | 5500 | 18.80 [1] | 0.003418 (Calculated) | Asus | Flagship |
| Asus Zenfone 11 Ultra | ZenUI | 5500 | 17.01 [1] | 0.003093 (Calculated) | Asus | Flagship | |
| Xiaomi 14 Ultra | HyperOS | 5300 | N/A | N/A | Xiaomi | Flagship | |
| Xiaomi 14 | HyperOS | 4610 | N/A | N/A | Xiaomi | Flagship | |
| Samsung Galaxy Z Fold 6 | One UI | 4400 | N/A | N/A | Samsung | Flagship | |
| Samsung Galaxy Z Flip 6 | One UI | 4000 | N/A | N/A | Samsung | Flagship | |
| Motorola Razr Ultra 2025 | My UX | 4000 | 15.70 [1] | 0.003925 (Calculated) | Motorola | Flagship | |
| MediaTek Dimensity 9400 | Oppo Find X8 Pro | ColorOS | 5910 | 36.00 (1.5 days) [7] | 0.006091 (Calculated) | Oppo | Flagship |
| Oppo Find X8 | ColorOS | 5630 | 24.00 (1 day) [7] | 0.004263 (Calculated) | Oppo | Flagship | |
| MediaTek Dimensity 9300 | Vivo X100 Pro | Funtouch OS | 5400 | 25.00 (calls) [9] | 0.004630 (Calculated) | Vivo | Flagship |
| Snapdragon 8+ Gen 1 | Nothing Phone (2) | Nothing OS | 4700 | N/A | N/A | Nothing | Flagship |
| Motorola Razr 60 Ultra | My UX | 3800 | 15.17 [2] | 0.003992 (Calculated) | Motorola | Flagship | |
| Snapdragon 8 Gen 2 | Asus Zenfone 10 | ZenUI | 4300 | 48.00 (2 days) [20] | 0.011163 (Calculated) | Asus | Flagship |
| Asus ROG Phone 7 | ROG UI | 6000 | 13.50 [27] | 0.002250 (Calculated) | Asus | Flagship | |
| MediaTek Dimensity 7200 Pro | Nothing Phone (2a) | Nothing OS | 5000 | 29.92 [8] | 0.005984 [8] | Nothing | Mid-range |
| Snapdragon 7s Gen 3 | Nothing Phone (3a) Pro | Nothing OS | 5000 | N/A | N/A | Nothing | Mid-range |
| Realme 14 Pro+ | Realme UI | 6000 | N/A | N/A | Realme | Flagship | |
| Snapdragon 6 Gen 1 | Moto G 2025 | My UX | 5000 | 18.53 [1] | 0.003706 (Calculated) | Motorola | Mid-range |
| Moto G Power (2025) | My UX | 6000 | 17.22 [1] | 0.002870 (Calculated) | Motorola | Budget | |
| Moto G Stylus 5G (2025) | My UX | 5000 | 10.00 [2] | 0.002000 (Calculated) | Motorola | Mid-range | |
| Snapdragon 695 | Oppo A5 5G | ColorOS | 6000 | N/A | N/A | Oppo | Budget |
| Oppo A5 Pro 5G | ColorOS | 6000 | N/A | N/A | Oppo | Budget | |
| Vivo V50 Lite | Funtouch OS | 5000+ | N/A | N/A | Vivo | Mid-range | |
| Snapdragon 662 | Xiaomi Redmi 9T | MIUI | 6000 | 31.17 [8] | 0.005195 [8] | Xiaomi | Budget |
| Xiaomi Poco M3 | MIUI | 6000 | 29.65 [8] | 0.004942 [8] | Xiaomi | Budget | |
| Snapdragon 4 Gen 1 | Redmi Note 12 5G | MIUI | 5000 | 61.00 (2.5 days) [28] | 0.012200 (Calculated) | Xiaomi | Mid-range |
| Vivo Y200+ | Funtouch OS | 6000 | N/A | N/A | Vivo | Budget | |
| MediaTek Dimensity 6100+ | Realme 14x | Realme UI | 6000 | N/A | N/A | Realme | Mid-range |
| MediaTek Helio G85 | Vivo Y19s | Funtouch OS | 5000 | N/A | N/A | Vivo | Budget |
Analysis of Battery Efficiency
Battery efficiency, calculated as hours of endurance per unit of battery capacity (mAh), provides a more nuanced understanding of how well a phone manages its power. The formula for efficiency is:
Efficiency=Battery Capacity (mAh)Average Endurance (Hours)
Based on the available data, the Asus Zenfone 10 stands out with an exceptionally high efficiency of approximately $0.011163$ hours per mAh [20]. This suggests that despite its relatively smaller battery capacity (4,300 mAh) compared to some other devices, its software and hardware are highly optimized for power consumption. Similarly, the Xiaomi Redmi Note 12 5G also demonstrates remarkable efficiency at $0.012200$ hours per mAh, achieving 2.5 days of battery life with a 5,000 mAh battery [28].
Among flagship devices, the iPhone 15 Pro Max exhibits strong efficiency at $0.007122$ hours per mAh, showcasing Apple's prowess in optimizing iOS and its A-series chips for power management, even with a moderate battery size [8]. The Oppo Find X8 Pro also shows good efficiency at $0.006091$ hours per mAh, indicating effective power management within ColorOS [7].
Conversely, some phones with very large battery capacities, like the Samsung Galaxy M51 (7,000 mAh), while offering long raw endurance, may have lower efficiency (0.004497 hours per mAh) compared to devices with smaller, more optimized batteries [8]. This highlights that raw battery size is not the sole determinant of real-world battery life; software optimization and chipset efficiency play equally, if not more, critical roles [1].
Conclusion
The quest for the "best battery life per unit capacity" reveals that a combination of hardware and software optimization is paramount. While large battery capacities provide a strong foundation, the efficiency of the operating system and the underlying chipset significantly impact real-world endurance. Apple's iOS and certain Android skins like Asus's ZenUI and Xiaomi's MIUI/HyperOS demonstrate superior efficiency in managing power consumption, allowing their devices to achieve impressive battery life even with comparatively smaller batteries. Manufacturers are increasingly leveraging AI and advanced power management techniques to further enhance battery performance, aiming to deliver longer usage times without necessarily increasing battery size. Users seeking optimal battery life should consider not only the mAh rating but also the software optimizations and chipset efficiency of the device.