NVIDIA GeForce RTX 5090 Laptop 95W vs Radeon Pro 575X
            NVIDIA GeForce RTX 5090 Laptop 95W
            
                
            
        
    
            Radeon Pro 575X
            
                
            
        
    | 10496 Shaders 24GB GDDR7 1597MHz | 2048 Shaders 4GB GDDR5 1096MHz | 
| Peak AI Performance 1.42 PFLOPS FP4 Tensor Sparse | Peak AI Performance 4.49 TFLOPS FP16 | 
| FP32 33.52 TFLOPS | FP32 4.49 TFLOPS | 
| FP16 33.52 TFLOPS | FP16 4.49 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 95W | TDP 115W | 
| - - - - - | - - - - - | 
| GB6 OpenCL N/A 0% | |
| GB6 Metal N/A 0% | 
                                            
                                                GB6 Metal 47,505
                                            
                                             19% | 
| 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 
                                            1.42 PFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            4.49 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            FP4
                                         
                                            710.37 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.42 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            355.19 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            710.37 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            177.59 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            355.18 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            33.52 TFLOPS
                                            
                                                
                                            
                                         
                                            177.59 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            355.18 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            88.8 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            177.59 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            4.49 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            33.52 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            4.49 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            520 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            280 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            33.52 TFLOPS
                                            
                                                
                                            
                                         
                                            88.8 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            177.59 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            44.4 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            88.8 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            355.19 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            710.37 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            33.52 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            101.7 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            178.864 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            35.072 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            523.816 GTexel/s
                                         | Texture
                                            Fillrate 
                                            140.288 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerApple | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureBlackwell | ArchitectureGCN 4 | 
| FamilyGeForce 50 | FamilyRadeon Pro | 
| Codename NV193 GB203 - - | Codename Ellesmere Polaris 20 Variant Polaris 20 XLA | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 1/6/2025 | Release Date 3/18/2019 | 
| Foundry TSMC - | Foundry GlobalFoundries - | 
| Fabrication Node 4NP - | Fabrication Node 14LPP - | 
| Die Size 378 mm² - | Die Size 232 mm² - | 
| Transistor Count 45.6 Billion - | Transistor Count 5.7 Billion - | 
| Transistor Density 120.63M/mm² - | Transistor Density 24.57M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 10496 Shaders - | Shading Units 2048 Shaders - | 
| Texture Mapping Units 328 TMUs | Texture Mapping Units 128 TMUs | 
| Render Output Units 112 ROPs | Render Output Units 32 ROPs | 
| Tensor Cores 328 T-Cores | - - | 
| Ray-Tracing Cores 82 RT-Cores | - - | 
| Streaming Multiprocessors 82 SMs | - - | 
| - - | Compute Units 32 CUs | 
| - - | - - | 
| - - | - - | 
| 2115MHz Tensor - 930MHz Base 1597MHz | - - - 1096MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - 16KB/CU - | 
| L2 64MB Shared | L2 2MB Shared | 
| - - - | - - - | 
| 24GB GDDR7 - | 4GB GDDR5 - | 
| Bus Width 256Bit | Bus Width 256Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 896GB/s | Clock 1700MHz Transfer Rate 6.8GT/s Bandwidth 217.6GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 95W | TDP 115W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 5120x2880 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate - 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 | Content Protection HDCP 2.2 | 
| Model 3x NVENC 9 | Model VCE 3.0 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model 2x NVDEC 6 | Model UVD 6.3 | 
| 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 JPEG VC-1 - - - AVC (H.264) HEVC (H.265) - - - - | 
| Direct X 12 Direct 3D 12_3 | Direct X 12 Direct 3D 12_0 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 2.1 Vulkan 1.3 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.7 - - GFX 8 - - - - | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 3.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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