NVIDIA GeForce RTX 4050 Laptop 45W vs NVIDIA GeForce RTX 3050 Ti Laptop 45W
            NVIDIA GeForce RTX 4050 Laptop 45W
            
                
            
        
    
            NVIDIA GeForce RTX 3050 Ti Laptop 45W
            
                
            
        
    | 2560 Shaders 6GB GDDR6 1655MHz | 2560 Shaders 4GB GDDR6 1290MHz | 
| Peak AI Performance 271.16 TOPS INT4 Tensor Sparse | Peak AI Performance 211.35 TOPS INT4 Tensor Sparse | 
| FP32 8.47 TFLOPS | FP32 6.61 TFLOPS | 
| FP16 8.47 TFLOPS | FP16 6.61 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 45W | TDP 45W | 
| - - - - - | - - - - - | 
| GB6 OpenCL N/A 0% | GB6 OpenCL N/A 0% | 
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | GB6 Vulkan N/A 0% | 
| GB5 OpenCL N/A 0% | GB5 OpenCL 60,740 20% | 
| GB5 CUDA N/A 0% | GB5 CUDA 63,985 18% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 52,635 26% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 130 17% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            271.16 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            211.35 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            67.79 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            135.58 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            33.89 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            67.79 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            8.47 TFLOPS
                                            
                                                
                                            
                                         
                                            33.89 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            67.79 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            16.95 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            33.89 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            6.61 TFLOPS
                                            
                                                
                                            
                                         
                                            26.42 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            52.84 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            13.21 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            26.42 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            8.47 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            6.61 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            130 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            100 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            8.47 TFLOPS
                                            
                                                
                                            
                                         
                                            16.95 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            33.89 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            6.61 TFLOPS
                                            
                                                
                                            
                                         
                                            13.21 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            26.42 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            8.47 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            16.95 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            6.61 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            13.21 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            135.58 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            271.16 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            105.68 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            211.35 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            67.79 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            135.58 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            52.84 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            105.68 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            4.24 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            3.3 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            19.6 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            12.9 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            52.96 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            41.28 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            132.4 GTexel/s
                                         | Texture
                                            Fillrate 
                                            103.2 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureAda Lovelace | ArchitectureAmpere | 
| FamilyGeForce 40 | FamilyGeForce 30 | 
| Codename NV187 AD107 Variant GN21-X2 | Codename NV177 GA107 Variant GN20-P1 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 2/22/2023 | Release Date 5/11/2021 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node 4N - | Fabrication Node 8N - | 
| Die Size 159 mm² - | Die Size 200 mm² - | 
| Transistor Count 18.9 Billion - | Transistor Count 8.7 Billion - | 
| Transistor Density 118.87M/mm² - | Transistor Density 43.50M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 2560 Shaders - | Shading Units 2560 Shaders - | 
| Texture Mapping Units 80 TMUs | Texture Mapping Units 80 TMUs | 
| Render Output Units 32 ROPs | Render Output Units 32 ROPs | 
| Tensor Cores 80 T-Cores | Tensor Cores 80 T-Cores | 
| Ray-Tracing Cores 20 RT-Cores | Ray-Tracing Cores 20 RT-Cores | 
| Streaming Multiprocessors 20 SMs | Streaming Multiprocessors 20 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 2 GPCs | Graphics Processing Clusters 3 GPCs | 
| - - 1240MHz Base 1655MHz | - - 1043MHz Base 1290MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 12MB Shared | L2 2MB Shared | 
| - - - | - - - | 
| 6GB GDDR6 - | 4GB GDDR6 - | 
| Bus Width 96Bit | Bus Width 128Bit | 
| Clock 2000MHz Transfer Rate 16GT/s Bandwidth 192GB/s | Clock 1500MHz Transfer Rate 12GT/s Bandwidth 192GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 45W | TDP 45W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 60Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate G-Sync FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model NVENC 8 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 5 | Model NVDEC 5 | 
| Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Direct X 12 Direct 3D 12_3 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.7 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 4.0 PCIe Lanes 8 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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