NVIDIA GeForce RTX 5050 Laptop 50W vs NVIDIA Quadro M520
            NVIDIA GeForce RTX 5050 Laptop 50W
            
                
            
        
    
            NVIDIA Quadro M520
            
                
            
        
    | 2560 Shaders 8GB GDDR6 1755MHz | 384 Shaders 1GB GDDR5 1176MHz | 
| Peak AI Performance 287.54 TFLOPS FP4 Tensor Sparse | Peak AI Performance 3.61 TOPS INT8 | 
| FP32 8.99 TFLOPS | FP32 900 GFLOPS | 
| FP16 8.99 TFLOPS | - - | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 50W | TDP 25W | 
| - - - - - | - - - - - | 
| 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 N/A 0% | 
| GB5 CUDA N/A 0% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan N/A 0% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            287.54 TFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            3.61 TOPS
                                         
                                            INT8
                                         | 
| 
                                            FP4
                                         
                                            143.77 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            287.54 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            71.89 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            143.77 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            71.88 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            8.99 TFLOPS
                                            
                                                
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            71.88 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            17.97 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            8.99 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            900 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            140 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            30 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            8.99 TFLOPS
                                            
                                                
                                            
                                         
                                            17.97 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            8.99 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            17.97 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            71.89 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            143.77 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            3.61 TOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            8.99 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            0.9 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            27.3 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            56.16 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            9.408 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            140.4 GTexel/s
                                         | Texture
                                            Fillrate 
                                            28.224 GTexel/s
                                         | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node 28nm - | 
| - - - | Die Size 89 mm² - | 
| - - | Transistor Count 1.1 Billion - | 
| - - - | Transistor Density 12.61M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 2560 Shaders - | Shading Units 384 Shaders - | 
| Texture Mapping Units 80 TMUs | Texture Mapping Units 24 TMUs | 
| Render Output Units 32 ROPs | Render Output Units 8 ROPs | 
| Tensor Cores 80 T-Cores | - - | 
| Ray-Tracing Cores 20 RT-Cores | - - | 
| Streaming Multiprocessors 20 SMs | Streaming Multiprocessors 3 SMs | 
| - - | - - | 
| - - | - - | 
| - - | - - | 
| 1755MHz Tensor - 1455MHz Base 1755MHz | - - 965MHz Base 1176MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - 64KB/SM - - | 
| L2 32MB Shared | L2 1MB Shared | 
| - - - | - - - | 
| 8GB GDDR6 - | 1GB GDDR5 - | 
| Bus Width 128Bit | Bus Width 64Bit | 
| Clock 1750MHz Transfer Rate 14GT/s Bandwidth 224GB/s | Clock 1253MHz Transfer Rate 5GT/s Bandwidth 40.1GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 50W | TDP 25W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 4096x2304 | 
| Max Resolution Refresh Rate 165Hz | 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) Not Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.3 | - - | 
| Model NVENC 9 | No Encoders - | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | - - - - - - - - - - - - - - - | 
| Model NVDEC 6 | No Decoders | 
| 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 11_0 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.7 CUDA 5.0 - - PureVideo HD VP6 VDPAU Feature Set E | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 3.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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