NVIDIA GeForce RTX 2080 Super Max-Q vs NVIDIA GeForce RTX 3050 Laptop 80W
            NVIDIA GeForce RTX 2080 Super Max-Q
            
                
            
        
    
            NVIDIA GeForce RTX 3050 Laptop 80W
            
                
            
        
    | 3072 Shaders 8GB GDDR6 1080MHz | 2048 Shaders 4GB GDDR6 1740MHz | 
| Peak AI Performance 212.34 TOPS INT4 Tensor | Peak AI Performance 228.07 TOPS INT4 Tensor Sparse | 
| FP32 6.64 TFLOPS | FP32 7.13 TFLOPS | 
| FP16 13.27 TFLOPS | FP16 7.13 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 80W | TDP 80W | 
| - - - - - | - - - - - | 
| GB6 OpenCL N/A 0% | |
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | 
| GB5 OpenCL 89,730 29% | GB5 OpenCL 62,385 20% | 
| GB5 CUDA 103,920 29% | GB5 CUDA 68,255 19% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 66,600 32% | GB5 Vulkan 56,275 27% | 
| OCT 2020.1 210 28% | OCT 2020.1 140 18% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            212.34 TOPS
                                         
                                            INT4 Tensor
                                         | Peak AI
                                            Performance 
                                            228.07 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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| 
                                            FP16
                                         
                                            13.27 TFLOPS
                                            
                                                
                                            
                                         
                                            53.08 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            26.54 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP16
                                         
                                            7.13 TFLOPS
                                            
                                                
                                            
                                         
                                            28.51 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            57.02 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            14.25 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            28.51 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            6.64 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                         | 
                                            FP32
                                         
                                            7.13 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            FP64
                                         
                                            210 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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                                            FP64
                                         
                                            110 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            -
                                            
                                                
                                            
                                         
                                            26.54 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            BF16
                                         
                                            7.13 TFLOPS
                                            
                                                
                                            
                                         
                                            14.25 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            28.51 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            26.54 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            TF32
                                         
                                            7.13 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            14.25 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            212.34 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            114.03 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            228.07 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            106.17 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            57.02 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            114.03 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            3.56 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            20 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            13.9 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            69.12 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            55.68 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
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                                            -
                                         
                                            -
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| Texture
                                            Fillrate 
                                            207.36 GTexel/s
                                         | Texture
                                            Fillrate 
                                            111.36 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureTuring | ArchitectureAmpere | 
| FamilyGeForce 20 | FamilyGeForce 30 | 
| Codename NV164 TU104 Variant N18E-G3 | Codename NV177 GA107 Variant GN20-P0 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 4/2/2020 | Release Date 5/11/2021 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node 12FFN - | Fabrication Node 8N - | 
| Die Size 545 mm² - | Die Size 200 mm² - | 
| Transistor Count 13.6 Billion - | Transistor Count 8.7 Billion - | 
| Transistor Density 24.95M/mm² - | Transistor Density 43.50M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 3072 Shaders - | Shading Units 2048 Shaders - | 
| Texture Mapping Units 192 TMUs | Texture Mapping Units 64 TMUs | 
| Render Output Units 64 ROPs | Render Output Units 32 ROPs | 
| Tensor Cores 384 T-Cores | Tensor Cores 64 T-Cores | 
| Ray-Tracing Cores 48 RT-Cores | Ray-Tracing Cores 16 RT-Cores | 
| Streaming Multiprocessors 48 SMs | Streaming Multiprocessors 16 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 6 GPCs | Graphics Processing Clusters 3 GPCs | 
| - - 735MHz Base 1080MHz | - - 1485MHz Base 1740MHz | 
| - - | - - | 
| L1 32KB/SM Tex 64KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 4MB Shared | L2 2MB Shared | 
| - - - | - - - | 
| 8GB GDDR6 - | 4GB GDDR6 - | 
| Bus Width 256Bit | Bus Width 128Bit | 
| Clock 1375MHz Transfer Rate 11GT/s Bandwidth 352GB/s | Clock 1500MHz Transfer Rate 12GT/s Bandwidth 192GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 80W | TDP 80W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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 3 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.2 | Content Protection HDCP 2.3 | 
| Model NVENC 7 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 4 | Model NVDEC 5 | 
| Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - - - - | Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Direct X 12 Direct 3D 12_2 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.6 CUDA 7.5 - - PureVideo HD VP10 VDPAU Feature Set J | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 3.0 PCIe Lanes 16 | - - PCIe Version 4.0 PCIe Lanes 8 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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