NVIDIA GeForce RTX 5070 Ti Laptop 80W vs NVIDIA GeForce GTX 1660 Ti Max-Q
            NVIDIA GeForce RTX 5070 Ti Laptop 80W
            
                
            
        
    
            NVIDIA GeForce GTX 1660 Ti Max-Q
            
                
            
        
    | 5888 Shaders 12GB GDDR7 1820MHz | 1536 Shaders 6GB GDDR6 1335MHz | 
| Peak AI Performance 879.15 TFLOPS FP4 Tensor Sparse | Peak AI Performance 8.2 TFLOPS FP16 | 
| FP32 21.43 TFLOPS | FP32 4.1 TFLOPS | 
| FP16 21.43 TFLOPS | FP16 8.2 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 80W | TDP 60W | 
| - - - - - | - - - - - | 
| GB6 OpenCL N/A 0% | |
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | 
| GB5 OpenCL N/A 0% | GB5 OpenCL 53,540 18% | 
| GB5 CUDA N/A 0% | GB5 CUDA 61,940 17% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 48,085 23% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 110 14% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            879.15 TFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            8.2 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            FP4
                                         
                                            439.58 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            879.15 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            219.79 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            439.57 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            109.89 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            219.79 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            21.43 TFLOPS
                                            
                                                
                                            
                                         
                                            109.89 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            219.79 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            54.95 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            109.89 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            8.2 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            21.43 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            4.1 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            340 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            130 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            21.43 TFLOPS
                                            
                                                
                                            
                                         
                                            54.95 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            109.89 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            27.47 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            54.95 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            219.79 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            439.57 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            21.43 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            65 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            116.48 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            64.08 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            334.88 GTexel/s
                                         | Texture
                                            Fillrate 
                                            128.16 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureBlackwell | ArchitectureTuring | 
| FamilyGeForce 50 | FamilyGeForce 16 | 
| Codename NV195 GB205 - - | Codename NV168 TU116 Variant N18E-G0 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 1/6/2025 | Release Date 4/23/2019 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node 12FFN - | 
| Die Size 263 mm² - | Die Size 284 mm² - | 
| Transistor Count 31.1 Billion - | Transistor Count 6.6 Billion - | 
| Transistor Density 118.25M/mm² - | Transistor Density 23.24M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 5888 Shaders - | Shading Units 1536 Shaders - | 
| Texture Mapping Units 184 TMUs | Texture Mapping Units 96 TMUs | 
| Render Output Units 64 ROPs | Render Output Units 48 ROPs | 
| Tensor Cores 184 T-Cores | - - | 
| Ray-Tracing Cores 46 RT-Cores | - - | 
| Streaming Multiprocessors 46 SMs | Streaming Multiprocessors 24 SMs | 
| - - | - - | 
| - - | - - | 
| - - | Graphics Processing Clusters 3 GPCs | 
| 2333MHz Tensor - 1560MHz Base 1820MHz | - - 1140MHz Base 1335MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 32KB/SM Tex 64KB/SM - - | 
| L2 40MB Shared | L2 1.5MB Shared | 
| - - - | - - - | 
| 12GB GDDR7 - | 6GB GDDR6 - | 
| Bus Width 192Bit | Bus Width 192Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 672GB/s | Clock 1500MHz Transfer Rate 12GT/s Bandwidth 288GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 80W | TDP 60W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| 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) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.2 | 
| Model NVENC 9 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 6 | Model NVDEC 4 | 
| 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) - - - - | 
| 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 1.2 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.6 CUDA 7.5 - - PureVideo HD VP10 VDPAU Feature Set J | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 3.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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