GeForce GTX 1630
Everyday Tasks
Evaluation - Excellent
Compared with GeForce GT 1030, a baseline GPU for everyday tasks such as Office work and web browsing, it delivers +108% performance.
Light Gaming
Evaluation - Difficult
Compared with GeForce GTX 1650, a baseline GPU for light games such as Valorant, Minecraft, Roblox, UNDERTALE, and League of Legends at FHD / 120 FPS, it delivers -37% performance.
Mid-range Gaming
Evaluation - Difficult
Compared with GeForce RTX 3060 8GB, a baseline GPU for mid-range games such as Apex Legends, Overwatch, Fortnite, and Dead by Daylight at FHD / 120 FPS, it delivers -67% performance.
Heavy Gaming
Evaluation - Insufficient VRAM
Regardless of its performance score, this GPU falls short of the 8 GB of VRAM this task calls for, so it will struggle.
1080p Video Editing
Evaluation - Difficult
Compared with GeForce GTX 1650, a baseline GPU for 1080p video editing in tools like Premiere Pro, DaVinci Resolve, and Filmora, it delivers -37% performance.
4K Video Editing
Evaluation - Insufficient VRAM
Regardless of its performance score, this GPU falls short of the 8 GB of VRAM this task calls for, so it will struggle.
FHD Image Editing
Evaluation - Borderline
Compared with GeForce GTX 1050 Ti, a baseline GPU for FHD image editing in Photoshop, Lightroom, Figma, and Clip Studio Paint, it delivers -22% performance.
3D CG Creation
Evaluation - Difficult
Compared with GeForce RTX 2060, a baseline GPU for 3D CG work (modeling and viewport preview) in tools like Blender, Maya, and 3ds Max, it delivers -65% performance.
Game Development
Evaluation - Difficult
Compared with GeForce RTX 3060 12GB, a baseline GPU for game development (editor work and in-editor preview) in Unity, Unreal Engine 5, and Godot Engine, it delivers -70% performance.
CAD
Evaluation - Difficult
Compared with GeForce GTX 1650, a baseline GPU for CAD work in tools like AutoCAD and Fusion 360, it delivers -37% performance.
Local LLM
Evaluation - Below entry
With 4GB of VRAM, this falls short even of 8B-class models, so local LLMs will be a struggle.
As a rule of thumb, (quantized) 8B models such as Gemma, Qwen, Llama, and DeepSeek need 8 GB of VRAM, 22B models need 16 GB, and 32B models need 24 GB. At the same VRAM capacity, newer generations also run faster. The field moves fast, so this is a quick check of where GeForce GTX 1630's VRAM stands.
AI Image Generation
Evaluation - Below entry
With 4GB of VRAM, this falls short even of lightweight 2–6B-class models, so AI image generation will be a struggle.
As a rule of thumb, (quantized) 2–6B models such as Krea, Flux, SDXL, Pony, Anima, and Illustrious need 8 GB of VRAM, 12B models need 16 GB, and 20B models need 24 GB. At the same VRAM capacity, newer generations also run faster. The field moves fast, so this is a quick check of where GeForce GTX 1630's VRAM stands.
AI Video Generation
Evaluation - Below entry
With 4GB of VRAM, this struggles even with small models, so it is not suited for AI video generation.
As a rule of thumb, (quantized) models such as Wan, LTX, and Hunyuan need at least 16 GB of VRAM for practical use. At the same VRAM capacity, newer generations also run faster. The field moves fast, so this is a quick check of where GeForce GTX 1630's VRAM stands.
GPUMETA / price / minimum
GeForce GTX 1630
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GPUMETA / ranking / score