The Uber-G Camera IQ benchmark is a mobile camera scoring system that gives an excellent indication of image quality (IQ) based on four “pillars” that everyone can interpret: Daylight, Low-light, Ultrawide, and Zoom photography.

Note that you can re-sort the table by clicking on any of the headers.

YearPhoneIQ ScoreDay  Night  Zoom  U-wide
2020 Samsung Galaxy Note 20 Ultra 224 227 249 159 154
2020 Samsung Galaxy S20 Ultra 220 225 242 155 154
2020 Huawei P40 Pro+ 218 217 239 157 171
2020 Huawei P40 Pro 212 215 229 150 171
2019 Huawei Mate 30 Pro 195 196 211 118 172
2019 Xiaomi Mi Note 10 (CC9) 181 190 193 135 130
2019 Huawei P30 Pro 180 186 196 148 116
2019 Samsung Galaxy Note 10+ 178 187 194 89 140
2019 Samsung Galaxy Note 10 178 187 194 89 140
2019 Samsung Galaxy Fold 177 187 194 89 134
2019 Samsung Galaxy S10 177 187 194 89 134
2019 Apple iPhone 11 Pro 177 189 194 92 117
2019 Samsung Galaxy S10+ 177 187 194 89 134
2019 OnePlus 7 Pro 176 186 194 104 115
2019 Honor 20 Pro 175 185 191 103 117
2019 Samsung Galaxy S10e 175 187 194 58 134
2019 Huawei P30 174 185 192 103 112
2019 Apple iPhone 11 174 189 194 58 N/A
2019 LG G8 ThinQ 173 185 191 57 136
2019 Motorola One Zoom 168 186 178 99 111
2018 Huawei Mate 20 Pro 167 179 179 103 114
2019 ZTE Axon 10 Pro 164 179 171 107 119
2018 Samsung Galaxy Note 9 162 186 193 88 N/A
2018 LG V40 161 173 172 80 129
2018 Samsung Galaxy S9+ 160 184 191 85 N/A
2019 Xiaomi Redmi Note 8 Pro 160 175 176 56 109
2018 Samsung Galaxy S9 158 184 191 59 N/A
2018 Apple iPhone XS 155 187 178 87 N/A
2018 Apple iPhone XS Max 155 187 178 87 N/A
2018 Huawei P20 Pro 155 180 180 103 N/A
2018 OnePlus 6T 154 187 179 59 N/A
2018 Google Pixel 3 152 186 176 62 N/A
2018 Xiaomi Mi Mix 3 151 176 179 82 N/A
2018 Honor View 20 150 179 174 83 N/A
2018 LG G7 ThinQ 142 165 141 57 122
2017 Google Pixel 2 141 165 168 55 N/A
2018 OnePlus OnePlus 6 141 167 167 58 N/A
2017 Google Pixel 2 XL 141 165 168 55 N/A
2018 Sony Xperia XZ2 139 181 151 53 N/A
2018 HTC U12+ 139 180 149 83 N/A
2018 Huawei P20 129 172 136 63 N/A
2017 Honor View 10 127 169 134 54 N/A
2018 Honor 10 126 165 135 53 N/A
2017 OnePlus OnePlus 5T 124 160 136 47 N/A
2018 Vivo V11 110 165 100 53 N/A
2018 Honor Honor Play 109 163 100 53 N/A
2018 Huawei Y9 (2018) 87 142 70 46 N/A
2017 Samsung Galaxy J7 (SM-J727U, 2017) 77 140 50 45 N/A

Consumers now have an easy and meaningful way to evaluate a phone’s camera performance under real-world conditions. That’s how we review mobile camera quality now.

Consumer Photography research often groups mobile camera users in two categories:

  1. Photo producers (photographer, camera user/buyer)
    1. Sub-group: casual photographers (large consumer majority)
    2. Sub-group: serious hobbyist
  2. Photo consumers who only watch photos, usually without any context of how or why they were taken.

Our mobile camera scoring system and our editorial reviews are written for the casual Photo Producers, even though serious hobbyists should find our conclusions interesting.

000Image Quality score UBER-G SCOREScoring/ranking system name IQImage-Quality based scoring system CAMERA Mobile High EndCategory based on price YYYY-MMDevice launch date [Device]Device brand and name
000Image Quality score UBER-G SCOREScoring/ranking system name IQImage-Quality based scoring system CAMERA Mobile PremiumCategory based on price YYYY-MMDevice launch date [Device]Device brand and name
000Image Quality score UBER-G SCOREScoring/ranking system name IQImage-Quality based scoring system CAMERA Mobile High Mid RangeCategory based on price YYYY-MMDevice launch date [Device]Device brand and name
000Image Quality score UBER-G SCOREScoring/ranking system name IQImage-Quality based scoring system CAMERA Mobile Low Mid RangeCategory based on price YYYY-MMDevice launch date [Device]Device brand and name

We will the different visuals above to quickly show the most relevant Camera IQ information such as the score, the phone’s name and market position when it was introduced (Year/Month).


Why did we create the Uber-G Camera IQ score?

This scoring system was originally created for internal use. We did it to make better smartphone reviews. From a consumer standpoint, and according to OEMs we talked to, smartphone camera performance is the single most important item when considering a new phone, even ahead of battery life or display quality.

We also have the Uber-G Camera HW score, which is another proxy for camera performance, based only on camera technical data. It’s great to have such a proxy for just-announced phones, or even for foreign phones we’ve never had our hands on. There is a strong correlation between camera hardware performance and photo quality.

From our editorial review process, we have created the necessary software and algorithms/methodologies to analyze image data and create both cameras scores. It was a lot more work than we bargained for, but it was worth it. Consumers can now search for the best overall camera, the best low-light camera, the best ultrawide camera – and more!

The Uber-G Camera IQ score pillars

Because numeric scores boil things down, they don’t tell the whole story. To partially remedy this, our IQ score has user-friendly sub-scores, which we consider to be today’s mobile photography “pillars”.

Each covers a use case that everyone is familiar with. By glancing at them, you can understand the nuances much better and choose what’s best for you. When a full camera review is available, you can also read it and see use cases that illustrate the key points of the scores. At the moment those Camera IQ pillars are:

  1. Daylight photo (bright-light)
  2. Night photo (low-light)
  3. Ultrawide photo
  4. Zoom

With our algorithm, we generate a score for each pillar before calculating the final Uber-G Camera IQ score. The scores are absolute, with no upper limits.

Objective camera tests

Cameras go through a process in which image analysis is based on properties that can be rated as objectively as possible. Rating is separated from personal preferences of “style” of photography (more on styles below). In some cases, software analysis is appropriate, other times, perceptive analysis is preferred.

It is important to point out that any algorithm which computes a score does contain some subjective elements. Image properties that are deemed to be more important may receive a higher consideration, weight, and priority.

In fact, the algorithm is the most important part of any benchmark, as it has more influence on the score than data accuracy fluctuations. For example, and at its simplest, it is like having two algorithms that are “addition” and “multiplication”. Feed them two identical and ultra-accurate pieces of data A and B: A+B and AxB will produce radically different outcomes.

As algorithms get more complex, so is the potential for having vast outcome differences. There is no scientific consensus to rate photo Image Quality, and the photography industry has debated this since photography was invented.

However, you can see the quality of our score algorithm from the quality of its outcome. We have had great feedback from industry-insiders about both the Uber-G IQ Score principles and its results.

Things such as user interface, filtering styles, and subjective elements are very interesting points but are not be included in the Uber-G IQ score since they are more related to the camera “user experience” than its image quality. Both are important but are best evaluated separately.

Reality is the anchor. Predictability is satisfaction. Context is everything.

Context Shot, what the scene looks like

Honor View 10 photo

The prospect mobile camera owner (the photo producer) is the first person that Image Quality has to satisfy. We found that there is a very strong correlation between the photographer’s satisfaction and the Camera’s ability to (faithfully) capture what the photographer is looking at. Users want to feel in control.


When it comes to colors, it is important to separate “quality” from “style”. Since quality can mean many things to many people, we use reality as an anchor and always mean image data quality, when talking about “quality”.

Each lens/sensor pair will induce slight color shifts, which is why pro-photographers will use in-scene measurements to color-correct photos later. It is unreasonable to expect consumers to do such things in their daily lives, so we expect cameras to do a great job of capturing what users see with their eyes.

We refer to a good representation of what our eyes see because it is fundamental to have a good scene intelligence. We don’t expect cameras to be perfect, but this matters – a lot. We will often point out if a camera captures what we see, or that another one might not. Some cameras over-filter images to the point that data is lost, and that could upset photographers for good reason.

Night photography

Context photo: this is how the scene looks like as if you were there

When it comes to low-light photos, that’s often where high-end cameras set themselves apart. It is probably the single most desired feature in mobile cameras. As of late, there has been a trend to artificially “brighten” photos using color filters, which is the easy way to try impressing users. But the truth is: with low light photos, brighter is NOT always better.

Context photo: looking at color spectrum detail

Handset A, looking at the same color spectrum detail

Instead, what we’re interested in is how well the scene’s detail, dynamic range, colors, and light intensity have been captured. Any good night photo can be filtered later to the liking of the user, but an over-filtered night photo can irremediably remove shadows, volumes and contrast and shrink your creative options drastically.

Ultrawide photography

Smartphones have traditionally shipped with a single focal length (~24-26mm) because camera modules are too small to accommodate variable focal length lenses. However, being able to switch to ultrawide (~16mm) is an amazing tool that many compact cameras had for decades.

That’s why we consider ultrawide photography to be one of the necessary pillars and mobile camera with support for ultrawide photography will have an advantage.

Zoom photography

Context Shot, we’re going to zoom on the street art

Every single camera can zoom thanks to digital magnification. Sometimes, people like to zoom for framing purpose or just to take a close-up photo. It’s not always possible to move closer to the subject, so zoom can be useful at times. Having fancy algorithms and optical zoom lenses can be incredibly helpful to get sharper zoomed photos. Zoom is also a fundamental aspect that we look at.

NOT included into Uber-G Camera IQ (for now), and why

To keep a score to the point and easy to interpret, we wanted to keep its core as straightforward as possible. As such, a number of things were intentionally left out of this first version.

  1. Flash
  2. Ultra-long exposure (Night Mode)
  3. Bokeh
  4. AF speed
  5. Selfie IQ
  6. Video IQ (under consideration)


A camera can be a powerful tool, but for smartphone cameras, the overwhelming majority of users dislike using a flash, and photos are overwhelmingly taken without a flash.  At the moment, we consider that users have a very small interest in flash performance, so it’s not included as one of our pillars.

Ultra-long exposure (Night Mode/Night Sight)

While ultra-long exposure is an amazing tool, we consider it to be outside of what people think low-light photo performance should be. Long exposure can make up for a small aperture, lens quality or sensor size, but only to a point. However, it’s not clear how often users will accept to wait 4 to 5 seconds to take a picture.

We’ll discuss with users, OEMs, and others who want to join the discussion to look at the usage trends. Our Uber-G Camera IQ score will evolve over time.

Bokeh (out of focus Blur)

Bokeh is great, but it is also quite subjective. At the moment, we have chosen to leave it out of the score because we were not yet satisfied with the Bokeh scoring options that would have hindered more than helped the IQ rating. We’re open to including it in the future if there’s a strong demand for it.

Autofocus speed

It’s true that AF speed can be important in cases such as action/sports photo or with fast-running kids. However, Autofocus is mostly a succeed/fail element. When successful, it has no importance in regards to image quality. If a camera consistently fails AF, the blurry images will affect the IQ score anyway – speed in itself is a user experience factor, but not a great proxy for image quality.

Selfie camera

Selfies are a completely different use case for a mobile camera. With different hardware, software (filters) and expectations, we do not want to lump selfie IQ into the rear camera IQ – it just didn’t make sense to us, and to a lot of people we talked to.

We discussed building a Selfie score, but in some places, people expect to have a lot of filtering and styling, which makes it very tricky to have an objective score. We’ll keep looking for a good way to build this. For now, perhaps the Uber-G Camera HW score might be a better proxy.


Video IQ is usually related to the performance of the optics and overall image processing capabilities of the handset. However, we agree that things such as EIS (Electronic Image Stabilization) and details about how 4K or super-slow-mo are captured can be of importance to some users. We’re gathering data on that topic, and we are thinking of having a video score later.

Keep an eye out for new scores!

Thanks for your interest in our Camera benchmark. We really try to provide you with insightful and useful information that will help you get the best camera for your needs and money. Keep in touch via Facebook, Instagram, and Youtube for updates.

Happy Photography!

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