NVIDIA GeForce RTX 5080 Laptop 150W vs AMD Radeon RX 7900M
            NVIDIA GeForce RTX 5080 Laptop 150W
            
                
            
        
    
            AMD Radeon RX 7900M
            
                
            
        
    | 7680 Shaders 16GB GDDR7 2287MHz | 4608 Shaders 16GB GDDR6 2090MHz | 
| Peak AI Performance 1.33 PFLOPS FP4 Tensor Sparse | Peak AI Performance 154.09 TOPS INT4 Tensor | 
| FP32 35.13 TFLOPS | FP32 38.52 TFLOPS | 
| FP16 35.13 TFLOPS | FP16 77.05 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 150W | TDP 180W | 
| - - - - - | - - - - - | 
| 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 
                                            1.33 PFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            154.09 TOPS
                                         
                                            INT4 Tensor
                                         | 
| 
                                            FP4
                                         
                                            667.24 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.33 PFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            333.62 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            667.24 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            166.81 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            333.62 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            35.13 TFLOPS
                                            
                                                
                                            
                                         
                                            166.81 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            333.62 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            83.41 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            166.81 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            77.05 TFLOPS
                                            
                                                
                                            
                                         
                                            38.52 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            38.52 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            35.13 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            38.52 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            550 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            1.2 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            35.13 TFLOPS
                                            
                                                
                                            
                                         
                                            83.41 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            166.81 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            77.05 TFLOPS
                                            
                                                
                                            
                                         
                                            38.52 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            41.7 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            83.4 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            154.09 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            333.62 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            667.24 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            38.52 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            35.13 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            19.26 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            106.5 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            219.552 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            401.28 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            548.88 GTexel/s
                                         | Texture
                                            Fillrate 
                                            601.92 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerAMD | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureBlackwell | ArchitectureRDNA 3 | 
| FamilyGeForce 50 | FamilyRadeon RX 7000 | 
| Codename NV193 GB203 - - | Codename Plum Bonito Navi 31 Variant Navi 31 XL GL | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 1/6/2025 | Release Date 10/19/2023 | 
| Foundry TSMC - | Foundry TSMC TSMC Memory Cache Die | 
| Fabrication Node 4NP - | Fabrication Node N5 N6  Memory Cache Die | 
| Die Size 378 mm² - | Die Size 304 mm² 6x 38 mm² Memory Cache Die | 
| Transistor Count 45.6 Billion - | Transistor Count 45.4 Billion 6x 2.1 Billion Memory Cache Die | 
| Transistor Density 120.63M/mm² - | Transistor Density 149.17M/mm² 54.64M/mm² Memory Cache Die | 
| Form Soldered | Form Soldered | 
| Shading Units 7680 Shaders - | Shading Units 4608 Shaders - | 
| Texture Mapping Units 240 TMUs | Texture Mapping Units 288 TMUs | 
| Render Output Units 96 ROPs | Render Output Units 192 ROPs | 
| Tensor Cores 240 T-Cores | Tensor Cores 144 T-Cores | 
| Ray-Tracing Cores 60 RT-Cores | Ray-Tracing Cores 72 RT-Cores | 
| Streaming Multiprocessors 60 SMs | - - | 
| - - | Compute Units 72 CUs | 
| - - | - - | 
| - - | - - | 
| 2715MHz Tensor - 1860MHz Base 2287MHz | - - 1825MHz Base 2090MHz | 
| - - | L0 64KB/WGP | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - 256KB/Array | 
| L2 64MB Shared | L2 6MB Shared | 
| - - - | L3 64MB Shared 2.33TB/s | 
| 16GB GDDR7 - | 16GB GDDR6 - | 
| Bus Width 256Bit | Bus Width 256Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 896GB/s | Clock 2250MHz Transfer Rate 18GT/s Bandwidth 576GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 150W | TDP 180W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 15360x8640 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 165Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate - 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 2x NVENC 9 | Model VCN 4.0 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model 2x NVDEC 6 | Model VCN 4.0 | 
| 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 - 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 2.2 Vulkan 1.3 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.7 - - GFX 11 - - - - | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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