NVIDIA GeForce RTX 4080 Laptop 60W vs NVIDIA GeForce RTX 4070 Laptop 100W
            NVIDIA GeForce RTX 4080 Laptop 60W
            
                
            
        
    
            NVIDIA GeForce RTX 4070 Laptop 100W
            
                
            
        
    | 7424 Shaders 12GB GDDR6 1350MHz | 4608 Shaders 8GB GDDR6 1950MHz | 
| Peak AI Performance 641.43 TOPS INT4 Tensor Sparse | Peak AI Performance 575.08 TOPS INT4 Tensor Sparse | 
| FP32 20.05 TFLOPS | FP32 17.97 TFLOPS | 
| FP16 20.05 TFLOPS | FP16 17.97 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 60W | TDP 100W | 
| - - - - - | - - - - - | 
| 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 
                                            641.43 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            575.08 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            160.36 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            320.72 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            80.18 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            160.36 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            143.77 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            287.54 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            71.89 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            143.77 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP16
                                         
                                            20.05 TFLOPS
                                            
                                                
                                            
                                         
                                            80.18 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            160.36 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            40.09 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            80.18 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            17.97 TFLOPS
                                            
                                                
                                            
                                         
                                            71.89 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            143.77 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            71.88 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            20.05 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            17.97 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            310 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            280 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            20.05 TFLOPS
                                            
                                                
                                            
                                         
                                            40.09 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            80.18 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            17.97 TFLOPS
                                            
                                                
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            71.88 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            20.05 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            40.09 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            17.97 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            35.94 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            320.72 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            641.43 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            287.54 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            575.08 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            160.36 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            320.72 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            143.77 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            287.54 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            10.02 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            8.99 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            46.3 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            41.5 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            108 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            93.6 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            313.2 GTexel/s
                                         | Texture
                                            Fillrate 
                                            280.8 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureAda Lovelace | ArchitectureAda Lovelace | 
| FamilyGeForce 40 | FamilyGeForce 40 | 
| Codename NV184 AD104 Variant GN21-X9 | Codename NV186 AD106 Variant GN21-X6 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 2/8/2023 | Release Date 2/22/2023 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4N - | Fabrication Node 4N - | 
| Die Size 295 mm² - | Die Size 188 mm² - | 
| Transistor Count 35.8 Billion - | Transistor Count 22.9 Billion - | 
| Transistor Density 121.56M/mm² - | Transistor Density 121.81M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 7424 Shaders - | Shading Units 4608 Shaders - | 
| Texture Mapping Units 232 TMUs | Texture Mapping Units 144 TMUs | 
| Render Output Units 80 ROPs | Render Output Units 48 ROPs | 
| Tensor Cores 232 T-Cores | Tensor Cores 144 T-Cores | 
| Ray-Tracing Cores 58 RT-Cores | Ray-Tracing Cores 36 RT-Cores | 
| Streaming Multiprocessors 58 SMs | Streaming Multiprocessors 36 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 5 GPCs | Graphics Processing Clusters 3 GPCs | 
| - - 795MHz Base 1350MHz | - - 1560MHz Base 1950MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 48MB Shared | L2 32MB Shared | 
| - - - | - - - | 
| 12GB GDDR6 - | 8GB GDDR6 - | 
| Bus Width 192Bit | Bus Width 128Bit | 
| Clock 2250MHz Transfer Rate 18GT/s Bandwidth 432GB/s | Clock 2000MHz Transfer Rate 16GT/s Bandwidth 256GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 60W | TDP 100W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 60Hz | 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) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 4 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model 2x NVENC 8 | Model NVENC 8 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model NVDEC 5 | Model NVDEC 5 | 
| 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 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Direct X 12 Direct 3D 12_3 | Direct X 12 Direct 3D 12_3 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | 
| Shader Model 6.7 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | Shader Model 6.7 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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