Comparateur de carte graphique: Compare des cartes graphiques | Comparatif cartes graphiques et vidéos

Comparatif Carte Graphique

Top 5 cartes graphiques

Vous pouvez voir l’évaluation complète de la carte vidéo sur la page d’évaluation.


NVIDIA GeForce RTX 4090
100.00


NVIDIA GeForce RTX 4080
89.69


AMD Radeon PRO W7800
82.26


NVIDIA GeForce RTX 4070 Ti
81.00


AMD Radeon RX 7900 XTX
80.85

Aller au classement de la perfomance des cartes graphiques  →

Top 5 cartes graphiques au meilleur rapport prix-qualité


NVIDIA TITAN Xp
100.00


NVIDIA A10G
100.00


NVIDIA Tesla P40
100.00


NVIDIA GeForce GTX 1070 SLI (portable)
100. 00


NVIDIA Tesla P4
100.00

Aller au classement des cartes graphiques au meilleur rapport prix-qualité  →

Comparaisons populaires

Voici quelques-unes des comparaisons de cartes graphiques les plus populaires de ces derniers temps.



GeForce RTX
3060 Ti

vs



GeForce RTX
3060




GeForce RTX
2060 Super

vs



GeForce RTX
3060




GeForce GTX
1060 6 GB

vs



Radeon RX
580




GeForce RTX
3060 Ti

vs



GeForce RTX
3070




GeForce GTX
1660 Super

vs



GeForce RTX
3050 8 GB




GeForce GTX
1660 Super

vs



Radeon RX
580

Cartes graphiques populaires

Ces cartes graphiques attirent la plus grande attention depuis quelques mois.



GeForce RTX
4090




Radeon RX
580




Radeon RX
Vega 7




GeForce GTX
1650




GeForce RTX
3060




GeForce GTX
1050 Ti

Comparatif / 24 cartes graphiques testées Juillet 2023

Comparatif / 24 cartes graphiques testées Juillet 2023 — Les Numériques

Publicité, votre contenu continue ci-dessous

Publicité

  1. Accueil
  2. Informatique
  3. Ordinateurs & Composants
  4. Carte graphique

Bien choisir : les points clés, nos tests

Par Guillaume Henri

La carte graphique est l’élément essentiel pour afficher les jeux vidéo de manière fluide. Mais choisir le bon modèle est souvent difficile : performances 3D, consommation et bruit… quelle carte réunit au mieux ces différents critères ?

AMD et Nvidia se partagent le marché avec leurs gammes GeForce RTX, GeForce GTX et autres Radeon RX — Intel y reviendra d’ici peu avec sa gamme Xe. L’offre est large et la bataille a lieu à plusieurs niveaux avec, en premier lieu, les performances dans les jeux. À chaque génération, les performances des puces augmentent, les MHz augmentent et la mémoire graphique évolue. Pour autant, ces cartes graphiques de plus en plus rapides n’augmentent pas la consommation du système. La course au rendement énergétique est un enjeu dont bénéficie le consommateur : moins de consommation, c’est moins de refroidissement et donc plus de silence.

La montée de la puissance graphique est nécessaire avec la démocratisation de la 4K. Jouer en UHD à une cadence d’images plus élevée et avec plus de détails nécessite une puissance particulièrement importante. Parallèlement à cette hausse des performances, AMD et Nvidia proposent également des avancées technologiques permettant d’obtenir des jeux vidéo toujours plus réalistes : ray tracing, amélioration de l’image par IA ou encore gestion améliorée des ombres et autres éléments fins (cheveux, herbe, etc.). Le choix est par ailleurs pléthorique, les cartes gaming d’AMD et Nvidia étant proposées à des prix variant entre une centaine d’euros et plus de mille euros. Notre comparatif de carte graphique est là pour vous aiguiller dans votre choix, que ce soit pour jouer sur un écran Full HD ou Ultra HD. Toutes les gammes de GPU (comme Ampere de Nvidia) sont testées dans notre laboratoire de manière à vous aider lors de votre achat pour réaliser le meilleur choix lors de l’achat d’une nouvelle carte graphique Nvidia ou AMD.

La procédure de test

Toutes les cartes graphiques qui passent dans notre laboratoire de test subissent le même protocole de test. Nous évaluons tout d’abord les capacités vidéoludiques en relevant le débit dans 11 jeux. Ces jeux sont exécutés dans trois définitions différentes allant de la Full HD à la 4K. En fonction des titres, nous effectuons ces tests en rendu classique (rasterisation), puis avec le raytracing d’activé et, quand cela est possible, avec le DLSS ou le FSR. Avec un matériel spécifique, nous ne manquons pas de relever la consommation électrique de chaque modèle, dans les jeux puis au repos. Enfin, à l’aide de notre sonomètre, nous évaluons les nuisances sonores du système de refroidissement.

Le comparatif continue ci-dessous

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Publicité

Comparer les Cartes graphiques

N’afficher que les produits disponibles

Par date de test

    Toutes

    ≤ 1 mois

    ≤ 3 mois

    ≤ 1 an

    ≤ 2 ans

    Par marques

      AMD

      Nvidia

      Prix

      Prix minimum (€)

      Prix maximum (€)

      Note générale

      Sous-notes

      Consommation

      Bruit

      Performances dans les jeux

      Performances 1080p

      Performances 1440p

      Performances 2160p

      Caractéristiques

      Longueur

      de

      mmcm

      à

      mmcm

      Quantité mémoire

      de

      Gigas-octets

      à

      Gigas-octets

      Indice de performance

      25 résultats

      1 page

      Produits populairesMeilleure notePrix croissantPrix décroissantDate croissanteDate décroissante

      Tout réinitialiser

      Résultats filtrés par :

      • Nvidia GeForce RTX 4070

        À partir de 635. 89 €

        Comparer

      • Nvidia GeForce RTX 4060

        À partir de 327.98 €

        Comparer

      • Nvidia GeForce RTX 4060 Ti 8 Go

        À partir de 439.99 €

        Comparer

      • Nvidia GeForce RTX 4070 Ti 12 Go

        À partir de 898.89 €

        Comparer

      • Nvidia GeForce RTX 3060 Ti

        À partir de 385.94 €

        Comparer

      • AMD Radeon RX 6700 XT

        À partir de 348.89 €

        (1)

        Comparer

      • Nvidia GeForce RTX 3080 Ti

        À partir de 1445. 99 €

        Comparer

      • AMD Radeon RX 6600 XT

        À partir de 449.95 €

        Comparer

      • Nvidia GeForce RTX 3060

        À partir de 307.9 €

        (3)

        Comparer

      • Nvidia GeForce RTX 3080

        À partir de 900.01 €

        Comparer

      • Nvidia GeForce RTX 3070

        À partir de 458.98 €

        (2)

        Comparer

      • AMD Radeon RX 6800 XT

        À partir de 583.89 €

        Comparer

      • AMD Radeon RX 7600

        À partir de 294. 99 €

        Comparer

      • Nvidia GeForce RTX 4090

        À partir de 1749.99 €

        Comparer

      • AMD Radeon RX 6600

        À partir de 213.94 €

        Comparer

      • AMD Radeon RX 7900 XTX

        À partir de 1105.94 €

        Comparer

      • Nvidia GeForce RTX 4080

        À partir de 1298.98 €

        Comparer

      • Nvidia GeForce RTX 3090

        À partir de 1872.6 €

        Comparer

      • AMD Radeon RX 7900 XT

        À partir de 967. 98 €

        Comparer

      • AMD Radeon RX 6900 XT

        À partir de 929.98 €

        Comparer

      • Nvidia GeForce RTX 3070 Ti

        À partir de 543.77 €

        Comparer

      • Nvidia GeForce RTX 3050

        À partir de 228.89 €

        Comparer

      • Nvidia GeForce RTX 3080 12 Go

        À partir de 1197.07 €

        Comparer

      • AMD Radeon RX 6800

        À partir de 587.47 €

        Comparer

      • AMD Radeon RX 6500 XT

        À partir de 190 €

        Comparer

      Comparatif & Guides d’achat

      • Guide d’achat de la rédaction

        Quelles sont les meilleures cartes graphiques ?

      • Quelles sont les meilleures cartes graphiques AMD Radeon ?

      • Quelles sont les meilleures cartes graphiques à moins de 500 € ?

      • Quelles sont les meilleures cartes graphiques Nvidia GeForce RTX ?

      Voir tous les guides

      Laissez-vous guider par nos experts

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        Working with the Map Module in Lightroom Classic

        User Guide
        Cancel

        Search

        View photos on the map

        The Map module allows you to see where photos were taken on the Google map. It uses the GPS coordinates embedded in your photos’ metadata to place photos on a map.

        Most mobile phone cameras, including the iPhone, record GPS coordinates in metadata. If the camera does not record GPS coordinates, you can add them to the Map module or import a tracking log from a GPS device.

        You must be online to use the Map module. Maps are displayed in the default web browser language, which may differ from the language version of Lightroom Classic you are using.

        Note.

        To check if a photo is tagged with GPS metadata, select the Location style in the Metadata panel of the Library or Map module. Then find the coordinates in the GPS field.

        Map module

        A. Panel «Saved Documents» B. Menu «Card Style» C. Ledbacked scale D. Seged photos E. Conditions F. Metadata panel «Metadata»

        Navigating the map

        To navigate the map in the Map module, do one of the following:

        • Double-click the map to zoom in.

        • Drag the Zoom slider on the toolbar to zoom in or out.

          Note . The Map module also supports zooming with the mouse wheel and multi-touch gestures on the trackpad.

        • Press the Alt (Windows) or Option (Mac OS) key and move the cursor in the preview area to zoom in on that area.

        • Drag the map to move it in the preview area.

        • Enter a location in the Search field in the upper right corner of the preview area to navigate to that location.

        • To set the appearance of the map, select one of the options from the Map Style menu on the toolbar:

        Satellite

        Displays a satellite photo of the location.

        Road map

        Displays roads, geopolitical boundaries, and landmarks on a flat, graphical background.

        Hybrid

        Superimposes roads and geopolitical data on a satellite photo.

        Landscape

        Graphical representation of the landscape.

        Light or dark

        Light or dark low contrast image of road map data.

        Tags

        The map model shows fewer labels from Google on the map by default. To view all available tags, click Show more tags below the map.

        Note.

        To change the map style options, choose View from the menu bar in the Map module.

        Create a collection from photos pinned on the map

        To create a collection from a group of photos in one location on the map, do the following:

        Create a collection from photos pinned to a map

        1. In the Map module, right-click (Windows) or Control-click (mac OS) a photo label.
        2. Select Create Collection from the context menu.
        3. The Create Collection dialog box opens. Follow the instructions for Create a collection starting at step 2.

        The collection appears in the Collections panel.

        Working with photos and GPS data

        • To add GPS coordinates to photos (and add photos to a map), do one of the following:

          • Drag photos from the film strip and place them on the card.

          • Select one or more photos in the Filmstrip and Ctrl-click (Windows) or Command-click (Mac OS) on the card.

          • Select one or more photos in the Filmstrip and right-click (Windows) or Control-click (Mac OS) a location on the map and choose Add GPS Location to Selected Photos.

        • To view a thumbnail of a photo at a specific location, click the photo’s tag.

        Note.

        Select View > Show Legend to display photo tag explanations.

        Legend module tags

        • To remove GPS metadata from photos (and remove photos from the map), do one of the following:

          • Select a photo tag on the map and click Delete.

          • Right-click (Windows) or Control-click (Mac OS) the label and select Delete GPS Location.

          • Select a photo in the Filmstrip in the Map module and click Delete.

        • Click the GPS Tracking Logs button and select Download Tracking Log to download GPS data (GPX file) from a third party device.

        • The location filter shows which photos in the film strip are displayed on the map:

        Displayed on the map

        Shows which photos in the Filmstrip are displayed in the current map view.

        Marked/untagged

        Shows which film photos are tagged or not tagged with GPS data.

        No

        Clears location filters.

        Note.

        You can exclude GPS metadata from photos when exporting.
        In the Export dialog, go to the Metadata panel and select Delete Location Information.

        Matching photos with the tracking log to automatically add GPS coordinates

        Downloading the tracking log

        To download the tracking log (GPX file only), click Map > Tracking Log > Download Tracking Log.

        After the track log (GPX file) is loaded into the Map module, Lightroom Classic searches for photos (in the current catalog selection) that have dates taken that match those of the track log. If matches are found, Lightroom Classic allows you to automatically tag the GPS coordinates of selected matching photos using the Auto tag option. To do this:

        1. In the Map module, select the appropriate photos in the Filmstrip.
        2. Select Map > Tracking History > Auto tag selected photos.

        Time zone offset setting

        If your photos were taken while traveling in a different time zone, or the camera clock was not set correctly, they may not match the recorded tracking log. In such cases, you can set the time offset value for the tracking log (in HH:mm) in Lightroom Classic. This value allows you to change the time in the tracking log according to the camera/shooting time. Therefore, you can use the Auto tag feature to place photos in a series.

        To set the time zone offset:

        1. In the Map module, select the photos in the Filmstrip that you want to match with the tracking log.
        2. Select Map > Tracking Log > Set Tracking Log Time Offset.
          • In the Tracking Log Time Offset dialog box, adjust the hours and minutes using the Offset slider
        3. Click OK.

        Note.

        The Track Log Time Offset dialog box displays the time range of the selected photos and the time range in the tracking log. Set the Offset slider to a value where these ranges overlap each other.

        Note.

        If the value of the Offset slider does not match the time zone of the track log and the time zone of your photos, Lightroom Classic indicates this by highlighting the time of the track log in red. However, you can still set this offset value.

        Save location

        For photos taken in a specific location, you can create a saved location . For example, if you’re traveling to Greece for a photo shoot with a client, you can create a saved location that covers the islands you’ve visited.

        1. In the Map module, navigate to a location on the map and click the + button in the Saved Locations panel. The Saved Locations panel is on the left side of the Lightroom Classic window.

        2. In the «New Location» dialog box, enter a name for the location and select a save folder.

          Radius

          Specifies the radius in feet, miles, meters, or kilometers from the center of the visible map area.

          Private

          Removes all IPTC location metadata, including GPS coordinates, county, city, state/region, country, and ISO country code when photos in a saved location are exported from Lightroom Classic.

        3. Click the Create button.

          The location will be displayed on the map, marked with a white circle, with one dot in the center and a second dot on the perimeter.

        4. When working with saved locations, you can do any of the following:

          • Select or deselect a location in the Saved Locations panel to view it on the map.

          Saved Locations panel in the Map module

          • To add photos to a location, do one of the following:

          • To navigate to a location on the map, click the right arrow button next to the name of the location in the Saved Locations panel.

          • To change a location, right-click (Windows) or Control-click (Mac OS) the location in the Saved Locations panel and select Location Options.

            Tip . You can also drag the pin at the top of the location circle on the map to adjust the radius. Drag the marker to the center of the circle to move the location on the map.

          • To delete a location, select it in the Saved Locations panel and click the minus (–) button. Or right-click (Windows) or Control-click (Mac OS) in the Saved Locations panel or on the map and choose Delete.

        Expert:

        View images on a map in Lightroom Classic.

        Julieanne Kost

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        Account Management

        GPU Rendering — Blender Manual

        Introduction

        Rendering on GPU allows you to use your graphics card for rendering instead of the CPU. This can greatly speed up rendering, since modern video cards are designed to perform many of the same type of calculations. On the other hand, they also have some limitations in rendering complex scenes due to less available memory, as well as problems with interface responsiveness if the same video card is used for both normal work and rendering.

        Cycles supports two rendering modes on the GPU: CUDA which is preferred for Nvidia graphics cards, and OpenCL which supports rendering on AMD graphics cards.

        Configuration

        To enable visualization on the GPU, open the window Settings and on the tab System select the used Calculation device . Then, for each scene, in panel Rendering you will be able to set up the use of rendering on the CPU or on the GPU.

        CUDA

        Nvidia CUDA
        is supported for GPU rendering with Nvidia graphics cards.
        We support graphics cards starting from GTX 4xx (computing capability from 2.0 to 6.1).

        Cycles requires the latest Nvidia drivers for all operating systems.

        List of CUDA maps with shader model (in English).

        OpenCL

        OpenCL is supported for GPU rendering with AMD graphics cards.
        (We only support graphics cards with GCN architecture 2.0 and above).
        To make sure your GPU is supported checkout
        this Wikipedia page.

        Note

        Cycles requires the latest AMD drivers for all operating systems.

        Supported features and limitations

        For an overview of supported features and comparison of technologies, see the corresponding section.

        CUDA limits:
        The maximum number of individual textures is limited to 88 integer textures ( PNG , JPEG and so on) and 5 floating point textures ( OpenEXR , 16-bit TIFF and others) on GTX 4xx/5xx series cards. Later cards do not have this limitation.

        Frequently Asked Questions

        Why does Blender stop responding during rendering?

        When the graphics card is busy rendering, it cannot redraw the user interface, causing Blender to become unresponsive. We’re trying to work around this issue by taking control of the GPU as often as possible, but we can’t guarantee a completely smooth experience, especially in heavy scenes. This is a limitation of graphics cards and there is no one hundred percent working solution for it, although we will try to improve this point in the future.

        If you can, it’s better to install more than one GPU and use one of them for rendering and use the rest for rendering.

        Why is a scene rendered on the CPU not rendered on the video card?

        There are many reasons for this, but the most common one is that your video card does not have enough memory. At the moment, we can only render scenes that fit into the memory of the video card, which is usually less than the memory available to the CPU. Note that, for example, 8k, 4k, 2k, and 1k texture images take up 256Mb, 64Mb, 16Mb, and 4Mb of memory, respectively.

        We intend to add a system to support scenes larger than the graphics card’s available memory, but it won’t be soon.

        Can multiple graphics cards be used for rendering?

        Yes, go to User Preferences ‣ System ‣ Compute Device Panel and configure the devices to your liking.

        Can multiple graphics cards increase available memory?

        No, each graphics card only has access to its own memory.

        Which renderer is faster: Nvidia or AMD, CUDA or OpenCL?

        Currently Nvidia with CUDA is rendering fastest, but this really depends on the hardware you buy.
        Currently, CUDA and OpenCL are about the same in the newest mid-range GPUs.
        However, CUDA is the fastest in the respect of high-end GPUs.

        Error messages

        Unsupported GNU version! gcc 4.7 and up are not supported! (Unsupported GNU version! gcc 4.7 and older are not supported!)

        On Linux, depending on your GCC version you might get this error. There are two possible solutions:

        Use an alternate compiler

        If you have an older GCC installed that is compatible with the installed CUDA toolkit version,
        then you can use it instead of the default compiler.
        This is done by setting the CYCLES_CUDA_EXTRA_CFLAGS environment variable when starting Blender.

        Launch Blender from the command line as follows:

         CYCLES_CUDA_EXTRA_CFLAGS="-ccbin gcc-x.x" blender
         

        (Substitute the name or path of the compatible GCC compiler).

        Remove compatibility checks

        If the above is unsuccessful, delete the following line in
        /usr/local/cuda/include/host_config.h

         #error -- unsupported GNU version! gcc 4.7 and up are not supported!
         

        This will allow Cycles to successfully compile the CUDA rendering kernel the first time it
        attempts to use your GPU for rendering. Once the kernel is built successfully, you can
        launch Blender as you normally would and the CUDA kernel will still be used for rendering. 9

        CUDA Error: Invalid kernel image

        CUDA Error: Kernel compilation failed

        This error can occur if you have a new Nvidia card that is not yet supported by your version of Blender and you have the CUDA toolset installed. In this case, Blender may try to dynamically build the kernel for your graphics card and not succeed.

        In this case you can:

        1. Check if the latest Blender version
          (official or experimental builds)
          supports your graphics card.
        2. If you’ve built Blender yourself, try downloading and installing the latest CUDA developer toolkit.

        Regular users do not need to install the CUDA toolkit because Blender already ships with compiled kernels.

        CUDA Error: Out of memory

        This error usually means that there is not enough memory on the video card to store the scene. Currently, we can only render scenes that fit into the graphics card’s memory, which is usually smaller than the memory available to the CPU.