NVIDIA GeForce RTX 5080 Laptop 150W vs NVIDIA GeForce MX150 10W
            NVIDIA GeForce RTX 5080 Laptop 150W
            
                
            
        
    
            NVIDIA GeForce MX150 10W
            
                
            
        
    | 7680 Shaders 16GB GDDR7 2287MHz | 384 Shaders 2GB GDDR5 1038MHz | 
| Peak AI Performance 1.33 PFLOPS FP4 Tensor Sparse | Peak AI Performance 3.19 TOPS INT8 | 
| FP32 35.13 TFLOPS | FP32 800 GFLOPS | 
| FP16 35.13 TFLOPS | FP16 10 GFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 150W | TDP 10W | 
| - - - - - | - - - - - | 
| 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 
                                            3.19 TOPS
                                         
                                            INT8
                                         | 
| 
                                            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
                                         
                                            10 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            35.13 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            800 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            550 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            30 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            35.13 TFLOPS
                                            
                                                
                                            
                                         
                                            83.41 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            166.81 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            41.7 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            83.4 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            333.62 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            667.24 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            3.19 TOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            35.13 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            106.5 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            219.552 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            16.608 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            548.88 GTexel/s
                                         | Texture
                                            Fillrate 
                                            24.912 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureBlackwell | ArchitecturePascal | 
| FamilyGeForce 50 | FamilyGeForce MX | 
| Codename NV193 GB203 - - | Codename NV138 GP108 Variant N17S-LG-A1 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 1/6/2025 | Release Date 5/17/2017 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node 4NP - | Fabrication Node 14LPP - | 
| Die Size 378 mm² - | Die Size 74 mm² - | 
| Transistor Count 45.6 Billion - | Transistor Count 1.8 Billion - | 
| Transistor Density 120.63M/mm² - | Transistor Density 24.32M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 7680 Shaders - | Shading Units 384 Shaders - | 
| Texture Mapping Units 240 TMUs | Texture Mapping Units 24 TMUs | 
| Render Output Units 96 ROPs | Render Output Units 16 ROPs | 
| Tensor Cores 240 T-Cores | - - | 
| Ray-Tracing Cores 60 RT-Cores | - - | 
| Streaming Multiprocessors 60 SMs | Streaming Multiprocessors 3 SMs | 
| - - | - - | 
| - - | - - | 
| - - | - - | 
| 2715MHz Tensor - 1860MHz Base 2287MHz | - - 937MHz Base 1038MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - 48KB/SM - - | 
| L2 64MB Shared | L2 512KB Shared | 
| - - - | - - - | 
| 16GB GDDR7 - | 2GB GDDR5 - | 
| Bus Width 256Bit | Bus Width 64Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 896GB/s | Clock 1250MHz Transfer Rate 5GT/s Bandwidth 40GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 150W | TDP 10W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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 2 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.2 | 
| Model 2x NVENC 9 | No Encoders - | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | - - - - - - - - - - - - - - - | 
| Model 2x NVDEC 6 | Model NVDEC 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 - VC-1 - VP9 - AVC (H.264) HEVC (H.265) - - - - | 
| Direct X 12 Direct 3D 12_3 | Direct X 12 Direct 3D 12_1 | 
| 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 6.1 - - PureVideo HD VP8 VDPAU Feature Set H | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 3.0 PCIe Lanes 4 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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