NVIDIA GeForce RTX 5070 Ti Laptop 100W vs AMD Radeon Pro W6500M
            NVIDIA GeForce RTX 5070 Ti Laptop 100W
            
                
            
        
    
            AMD Radeon Pro W6500M
            
                
            
        
    | 5888 Shaders 12GB GDDR7 2020MHz | 1024 Shaders 4GB GDDR6 2588MHz | 
| Peak AI Performance 935.67 TFLOPS FP4 Tensor Sparse | Peak AI Performance 10.6 TFLOPS FP16 | 
| FP32 23.79 TFLOPS | FP32 5.3 TFLOPS | 
| FP16 23.79 TFLOPS | FP16 10.6 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 100W | TDP 50W | 
| - - - - - | - - - - - | 
| 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 
                                            935.67 TFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            10.6 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            FP4
                                         
                                            467.84 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            935.67 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            233.92 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            467.84 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            116.96 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            233.92 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            23.79 TFLOPS
                                            
                                                
                                            
                                         
                                            116.96 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            233.92 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            58.48 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            116.96 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            10.6 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            23.79 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            5.3 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            370 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            330 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            23.79 TFLOPS
                                            
                                                
                                            
                                         
                                            58.48 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            116.96 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            29.24 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            58.48 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            233.92 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            467.84 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            23.79 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            72.1 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            129.28 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            82.816 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            371.68 GTexel/s
                                         | Texture
                                            Fillrate 
                                            165.632 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerAMD | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureBlackwell | ArchitectureRDNA 2 | 
| FamilyGeForce 50 | FamilyRadeon Pro | 
| Codename NV195 GB205 - - | Codename Beige Goby Navi 24 Variant Navi 24 XTM GL | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 1/6/2025 | Release Date 1/19/2022 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node N6 - | 
| Die Size 263 mm² - | Die Size 107 mm² - | 
| Transistor Count 31.1 Billion - | Transistor Count 5.4 Billion - | 
| Transistor Density 118.25M/mm² - | Transistor Density 50.47M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 5888 Shaders - | Shading Units 1024 Shaders - | 
| Texture Mapping Units 184 TMUs | Texture Mapping Units 64 TMUs | 
| Render Output Units 64 ROPs | Render Output Units 32 ROPs | 
| Tensor Cores 184 T-Cores | - - | 
| Ray-Tracing Cores 46 RT-Cores | - - | 
| Streaming Multiprocessors 46 SMs | - - | 
| - - | Compute Units 16 CUs | 
| - - | - - | 
| - - | - - | 
| 2483MHz Tensor - 1605MHz Base 2020MHz | - - - 2588MHz | 
| - - | L0 32KB/WGP | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - 128KB/Array | 
| L2 40MB Shared | L2 1MB Shared | 
| - - - | L3 16MB Shared 0.42TB/s | 
| 12GB GDDR7 - | 4GB GDDR6 - | 
| Bus Width 192Bit | Bus Width 64Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 672GB/s | Clock 1750MHz Transfer Rate 14GT/s Bandwidth 112GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 100W | TDP 50W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 120Hz | 
| 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 2 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model NVENC 9 | No Encoders - | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | - - - - - - - - - - - - - - - | 
| Model NVDEC 6 | Model VCN 3.0 | 
| 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 10.3 - - - - | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 4.0 PCIe Lanes 4 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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