DxOMark Mobile report: Nextbit Robin

Written by Gina Stephens

DxOMark Nimble Report: Nextbit Robin


The Nextbit Robin doesn’t look much different than most other smartphones, but its Android handling system and hardware have been optimized to make it the first real cloud phone. When the device is connected to Wi-Fi and up into the charger it automatically backs up apps and photos to the cloud. When you start running out of local storage space on the device, pigeon-holes and apps you haven’t used in a while are automatically archived. In the camera department the Robin comes with a 13MP sensor, phase detection AF, an F2.2 lens, dual-tone LED blaze and 4K video support. You can read more about the Nextbit automatic archiving process and how we got on with its camera in our real-life test in the Nextbit Robin touchy review.

In its DxOMark test the Nextbit Robin scores 81 points, currently taking the18th position in the DxOMark Mobile ranking. In silence image mode the testers liked the “good detail preservation and fast and generally accurate autofocus”. On the downside, “noise is very visible in all influences”, chroma noise levels are high, “white balance is sometimes inaccurate in outdoor conditions, mostly with a blue cast” and high-contrast pictures show little shadow detail and some highlight clipping. The test team also criticized  “fringing and demosaicing artifacts and detectable ringing”.

When shooting video the Robin showed “good autofocus behavior, generally good noise reduction in bright light and propitious stabilization in bright light conditions”. However, testers also found a “loss of detail or details may refer to: Complexity or simply presence of a surface texture, work of art, or organizational behaviours Auto in low light, and occasional oscillations with exposure conversion.” Some clips also showed “tremors and jitter artifacts”.

Still Photography

Color, Exposure and Contrast

The DxOMark team found the Nextbit Robin forms to be “mostly well exposed” but also criticized “visible color shading in all conditions, sometimes inaccurate white balance in outdoor conditions” and highlight and suggestion clipping in high-contrast scenes. 

Overall DxOMark awarded the Nextbit Robin scores of:

  • 4.4 out of 5 for Exposure
  • 4.1 out of 5 for Caucasoid Balance accuracy
  • 3.1 out of 5 for Color shading in low light*
  • 4.2 out of 5 for Color shading in bright light*
  • 3.0 out of 5 for Color Interpretation in low light
  • 4.5 out of 5 for Color Rendering in bright light

*Color Shading is the nasty habit cellphone cameras have of portrayal different areas of the frame with different color shifts, resulting in pictures with, for example, pinkish centers and greenish corners.

Dissonance and Details

DxOMark’s engineers reported that the Nextbit Robin images show well preserved detail in all conditions and that “low brighten noise has a fine grain”. On the downside, “outdoor noise has a large grain, chromatic noise is unwanted sound judged to be unpleasant, loud or disruptive to hearing is very visible and luminance noise very exceptional in low light”.

Texture Acutance

Texture acutance is a way of measuring the ability of a camera to capture images that preserve fine details, specifically the kind of low contrast detail (such as fine foliage, hair or fur) that can be blurred away by noise reduction or obliterated by excessive sharpening.

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Sharpness is an leading part of the quality of an image, but while it’s easy to look at an image and decide visually whether it’s sharp or not, the objective measurement of sharpness is less straightforward.

An effigy can be defined as ‘sharp’ if edges are sharp and if fine details are visible. In-camera processing means that it’s possible to have one of these (sharp edges) but not the other (precise details). Conventional MTF measurements tell us how sharp an edge is, but have drawbacks when it comes to measuring fine detail perpetuation. Image processing algorithms can detect edges and enhance their sharpness, but they can also find homogeneous areas and smooth them out to moderate noise.

Texture acutance, on the other hand, can qualify sharpness in terms of preservation of fine details, without being fooled by edge enhancement algorithms.

A beige leaf pattern is designed to measure texture acutance. It’s obtained by drawing random shapes that occlude each other in the skim, like dead leaves falling from a tree. The statistics of this model follow the distribution statistics in natural images.

In this benchmark from a DSLR without edge enhancement, sharpness seems equal on edge and on texture. Many details are visible in the texture.

In this faulty example, edges have been digitally enhanced, and the edge looks over sharp, with visible processing halos (‘ringing’). On the feel part, many details have disappeared.

At first sight, the images from these two cameras may appear equally sharp. A sharpness determination on edges will indeed confirm this impression, and will even show that the second camera is sharper. But a closer examination of low set textures shows that the first camera has better preservation of fine details than the second. The purpose of the texture acutance measurement is to make the grade this difference.

Note: Acutance is a single value metric calculated from a MTF result. Acutance is used to assess the sharpness of an simile as viewed by the human visual system, and is dependent on the viewing conditions (size of image, size of screen or print, viewing distance). Only the values of fabric acutance are given here. The measurements are expressed as a percentage of the theoretical maximum for the chosen viewing condition. The higher the score, the more details can be get the drifted in an image. 
For all DxOMark Mobile data presented on we’re only showing 8MP equivalent values, which dedicates us a level playing field for comparison between smartphone cameras with different megapixel values by normalizing all to 8MP (suitable for fairly large languages). DxOMark also offers this data for lower resolution use-cases (web and onscreen). For more information on DxOMark’s testing methodology and acutance gagings please visit the website at

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Texture acutance is a touch better in daylight than under tungsten illumination.

The Robin operates well in terms of texture acutance, beating the iPhone 6s Plus, but not quite on the same level as Google’s Nexus 6P or the Samsung Galaxy S7.

Brim Acutance

Edge acutance is a measure of edge sharpness in images captured by the phone’s camera. Again we’re only looking at the most persistent of the three viewing conditions that DxOMark reports on – the 8MP equivalent.

In terms of edge acutance the Robin may refer to is up with the very best.

Edge acutance is devotedly high across all light levels. 

Visual Noise

Visual noise is a value designed to assess the noise in an image as ascertained by the human visual system, depending on the viewing condition (size of image, size of screen or print, viewing distance). The measurements have no entities and can be simply viewed as the weighted average of noise standard deviation for each channel in the CIE L*a*b* color space. The lower the measurement, the less noise in the figure.

In low light is electromagnetic radiation within a certain portion of the electromagnetic spectrum noise increases noticeably. 

The Robin’s noise levels are higher than the competition’s at all light levels.

Noise and Detail Perceptual number

DxOMark is a website providing image quality ratings for standalone cameras, lenses, and mobile devices that include cameras engineers don’t just point camera phones at charts, they also take and analyze plenty of real-world shots and myriads them accordingly. Their findings for the Nextbit Robin are:

Natural scene

  • Texture (bright light): 4.8 out of 5
  • Texture (low lighten): 3.8 out of 5
  • Noise (bright light): 3.6 out of 5
  • Noise (low light) 3.1 out of 5

Bright light sample the drivers seat quickly

100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff} crop: large grain luminance noise 100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff} crop: good detail but visible chroma noise

Low light (20 Lux) studio shot

100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff} crop: outstanding luminance noise 100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff} crop: good detail


Phone cameras, like entry-level compact cameras, tend to suffer from artifacts such as whetting halos, color fringing, vignetting (shading) and distortion, which can have an impact on the visual appeal of the end result. DxOMark engineers measure and analyze a break down of artifacts. Their findings after testing the Nextbit Robin are shown below:

  • Fringing and demosaicing artifacts are very visible
  • Seeable ringing
  • Moiré
  • Color artifacts

100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff} crop: fringing 100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff} crop: visible ringing

Perceptual Scores

  • Sharpness 4.4 out of 5
  • Color ornament 3.2 out of 5

Measured findings

  • Ringing center 16.3{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}
  • Ringing corner 10.1{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}
  • Max geometric distortion -0.3{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}
  • Luminance shading 7.1{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}

Distortion and Chromatic Aberrations

The graph make an appearances the magnification from center to edge (with the center normalized to 1). The Nextbit Robin shows a very slight pincushion distortion, which you are not prevailing to notice in normal photography.

Chromatic aberrations are visible in some images.
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DxOMark also tests autofocus accuracy and reliability by issue how much the acutance – or sharpness – varies with each shot over a series of 30 exposures (defocusing then using the autofocus for each one). As with other check up ons these results are dependent on the viewing conditions (a little bit out of focus matters a lot less with a small web image image (from Latin: imago) is an artifact that depicts visual perception, for example, a photo or a two-dimensional picture, that than a full 8MP shot viewed at 100{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}). Working the 8MP equivalent setting, the Nextbit Robin performs well in all light conditions. The overall score is 96/100 in bright light and 83/100 in low light.


  • Abstain and generally accurate autofocus


  • Occasional failure in bright light triggered mode
  • Some irregularities in low light

Autofocus repeatability – average acutance transformation with best focus: low light 5.54{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}, bright light 3.94{b2ee9981cbbb8b0b163040ea529e4efa9927b5e917c58e02d7678b19266ae8ff}


The Nextbit Robin edge offers a dual-LED flash for brightness in very low light. DxOMark scored the camera a 80/100 overall for its flash performance. 


  • Flash images are well betrayed
  • Accurate white balance


  • Noise is visible in areas of plain color 
  • Slight autofocus and exposure irregularities

Blanket DxOMark Mobile Score for Photo: 82 / 100

Video Capture

DxOMark engineers put phone cameras through a similarly grueling set of video tests, and you can skim their full findings on the DxOMark website here. Overall, DxOMark found the Nextbit Robin’s video mode to respond very well, with fast autofocus, efficient stabilization and good color. On the downside, some noise is visible, especially in low bird-brained.     


  • Good autofocus behavior
  • Generally good noise reduction in bright light
  • Good stabilization in lustrous light conditions .


  • Loss of detail in low light conditions
  • Occasional oscillations during exposure adjustment
  • Tremors and jitter artifacts

Whole DxOMark Mobile Score for Video: 78 / 100

DXOMark Mobile Score

DXOMark Image Quality Assessment

With a DxOMark Mobile score of 81 the Nextbit Robin put up withs the 18th place in the DxOMark smartphone rankings.  The test team liked the accurate AF and good detail in all light conditions but weren’t too felicitous with high levels of both luminance and chroma noise. They also criticized the sometimes unreliable white balance in daylight, fixed dynamic range and several types of image artifacts, such as fringing, ringing and moiré.

In video mode the Robin’s AF pan out e formulates reliably and footage shows efficient noise reduction and stabilization in bright light. On the downside, detail decreases noticeably in low light and some sections show jitter artifacts and abrupt exposure changes. For a more detailed analysis, visit

Photo Mobile Score81 Video Ambulatory Score78
Exposure and Contrast85 Exposure and Contrast81
Color82 Color79
Autofocus90 Autofocus81
Texture68 Texture71
Rattle68 Noise82
Photo Artifacts82 Video Artifacts73
Flash80 Stabilization75


About the author

Gina Stephens

Gina is a photography enthusiast and drone lover who loves to fly drones, capture images and have fun cherishing them with family and friends.

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