Radeon Pro 5600M vs NVIDIA GeForce RTX 3050 Laptop 55W
            Radeon Pro 5600M
            
                
            
        
    
            NVIDIA GeForce RTX 3050 Laptop 55W
            
                
            
        
    | 2560 Shaders 8GB HBM2 1035MHz | 2048 Shaders 4GB GDDR6 1485MHz | 
| Peak AI Performance 10.6 TFLOPS FP16 | Peak AI Performance 194.64 TOPS INT4 Tensor Sparse | 
| FP32 5.3 TFLOPS | FP32 6.08 TFLOPS | 
| FP16 10.6 TFLOPS | FP16 6.08 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 50W | TDP 55W | 
| - - - - - | - - - - - | 
| GB6 OpenCL N/A 0% | |
| 
                                            
                                                GB6 Metal 57,415
                                            
                                             23% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | GB6 Vulkan N/A 0% | 
| GB5 OpenCL N/A 0% | GB5 OpenCL 56,490 18% | 
| GB5 CUDA N/A 0% | GB5 CUDA 61,805 17% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 50,955 25% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 120 16% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            10.6 TFLOPS
                                         
                                            FP16
                                         | Peak AI
                                            Performance 
                                            194.64 TOPS
                                         
                                            INT4 Tensor Sparse
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                                            FP16
                                         
                                            10.6 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP16
                                         
                                            6.08 TFLOPS
                                            
                                                
                                            
                                         
                                            24.33 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            48.66 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            12.17 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            24.33 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            5.3 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            6.08 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            FP64
                                         
                                            330 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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                                            FP64
                                         
                                            100 GFLOPS
                                            
                                                
                                            
                                         
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                                            BF16
                                         
                                            6.08 TFLOPS
                                            
                                                
                                            
                                         
                                            12.17 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            24.33 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            TF32
                                         
                                            6.08 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            12.17 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            97.32 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            194.64 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            48.66 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            97.32 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            3.04 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            Ray Tracing
                                         
                                            11.9 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            66.24 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            47.52 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
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                                            -
                                         
                                            -
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| Texture
                                            Fillrate 
                                            165.6 GTexel/s
                                         | Texture
                                            Fillrate 
                                            95.04 GTexel/s
                                         | 
| ManufacturerApple | ManufacturerNVIDIA | 
| Chip DesignerAMD | Chip DesignerNVIDIA | 
| ArchitectureRDNA 1 | ArchitectureAmpere | 
| FamilyRadeon Pro | FamilyGeForce 30 | 
| Codename - Navi 12 Variant Navi 12 ULA | Codename NV177 GA107 Variant GN20-P0 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 6/15/2020 | Release Date 5/11/2021 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node N7 - | Fabrication Node 8N - | 
| Die Size 251 mm² - | Die Size 200 mm² - | 
| Transistor Count 10.3 Billion - | Transistor Count 8.7 Billion - | 
| Transistor Density 41.04M/mm² - | Transistor Density 43.50M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 2560 Shaders - | Shading Units 2048 Shaders - | 
| Texture Mapping Units 160 TMUs | Texture Mapping Units 64 TMUs | 
| Render Output Units 64 ROPs | Render Output Units 32 ROPs | 
| - - | Tensor Cores 64 T-Cores | 
| - - | Ray-Tracing Cores 16 RT-Cores | 
| - - | Streaming Multiprocessors 16 SMs | 
| Compute Units 40 CUs | - - | 
| - - | - - | 
| - - | Graphics Processing Clusters 3 GPCs | 
| - - 1000MHz Base 1035MHz | - - 1222MHz Base 1485MHz | 
| L0 32KB/WGP | - - | 
| L1 - - - 128KB/Array | L1 64KB/SM Tex 128KB/SM - - | 
| L2 4MB Shared | L2 2MB Shared | 
| - - - | - - - | 
| 8GB HBM2 - | 4GB GDDR6 - | 
| Bus Width 2048Bit | Bus Width 128Bit | 
| Clock 770MHz Transfer Rate 1.5GT/s Bandwidth 394.2GB/s | Clock 1500MHz Transfer Rate 12GT/s Bandwidth 192GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 50W | TDP 55W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 120Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate - 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 VCN 2.0 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model VCN 2.0 | Model NVDEC 5 | 
| Codec MPEG-1 MPEG-2 MPEG-4 JPEG VC-1 - 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_1 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 2.1 Vulkan 1.2 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.5 - - GFX 10.1 - - - - | 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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