AMD Radeon RX 7700S vs NVIDIA GeForce RTX 3080 Ti Laptop 140W
            AMD Radeon RX 7700S
            
                
            
        
    
            NVIDIA GeForce RTX 3080 Ti Laptop 140W
            
                
            
        
    | 2048 Shaders 8GB GDDR6 2500MHz | 7424 Shaders 16GB GDDR6 1485MHz | 
| Peak AI Performance 81.92 TOPS INT4 Tensor | Peak AI Performance 705.58 TOPS INT4 Tensor Sparse | 
| FP32 20.48 TFLOPS | FP32 22.05 TFLOPS | 
| FP16 40.96 TFLOPS | FP16 22.05 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 100W | TDP 140W | 
| - - - - - | - - - - - | 
| 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 140,695 46% | 
| GB5 CUDA N/A 0% | GB5 CUDA 169,660 48% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 109,170 53% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 515 68% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            81.92 TOPS
                                         
                                            INT4 Tensor
                                         | Peak AI
                                            Performance 
                                            705.58 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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                                            FP16
                                         
                                            40.96 TFLOPS
                                            
                                                
                                            
                                         
                                            20.48 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            20.48 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP16
                                         
                                            22.05 TFLOPS
                                            
                                                
                                            
                                         
                                            88.2 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            176.39 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            44.1 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            88.2 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            20.48 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                         | 
                                            FP32
                                         
                                            22.05 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            FP64
                                         
                                            640 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            350 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            40.96 TFLOPS
                                            
                                                
                                            
                                         
                                            20.48 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            BF16
                                         
                                            22.05 TFLOPS
                                            
                                                
                                            
                                         
                                            44.1 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            88.2 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            TF32
                                         
                                            22.05 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            44.1 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            81.92 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            352.79 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            705.58 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            20.48 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            176.39 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            352.79 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            10.24 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            11.03 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            Ray Tracing
                                         
                                            43.1 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            160 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            142.56 GPixel/s
                                         | 
| 
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                                            -
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                                            -
                                         
                                            -
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| Texture
                                            Fillrate 
                                            320 GTexel/s
                                         | Texture
                                            Fillrate 
                                            344.52 GTexel/s
                                         | 
| ManufacturerAMD | ManufacturerNVIDIA | 
| Chip DesignerAMD | Chip DesignerNVIDIA | 
| ArchitectureRDNA 3 | ArchitectureAmpere | 
| FamilyRadeon RX 7000 | FamilyGeForce 30 | 
| Codename Hotpink Bonefish Navi 33 Variant Navi 33 XTM | Codename NV173 GA103S Variant GN20-E8-A1 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 1/4/2023 | Release Date 1/12/2021 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node N6 - | Fabrication Node 8N - | 
| Die Size 204 mm² - | Die Size 496 mm² - | 
| Transistor Count 13.3 Billion - | Transistor Count 22 Billion - | 
| Transistor Density 65.20M/mm² - | Transistor Density 44.35M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 2048 Shaders - | Shading Units 7424 Shaders - | 
| Texture Mapping Units 128 TMUs | Texture Mapping Units 232 TMUs | 
| Render Output Units 64 ROPs | Render Output Units 96 ROPs | 
| Tensor Cores 64 T-Cores | Tensor Cores 232 T-Cores | 
| Ray-Tracing Cores 32 RT-Cores | Ray-Tracing Cores 58 RT-Cores | 
| - - | Streaming Multiprocessors 58 SMs | 
| Compute Units 32 CUs | - - | 
| - - | - - | 
| - - | Graphics Processing Clusters 6 GPCs | 
| - - 1500MHz Base 2500MHz | - - 1110MHz Base 1485MHz | 
| L0 64KB/WGP | - - | 
| L1 - - - 256KB/Array | L1 64KB/SM Tex 128KB/SM - - | 
| L2 2MB Shared | L2 4MB Shared | 
| L3 32MB Shared 1.16TB/s | - - - | 
| 8GB GDDR6 - | 16GB GDDR6 - | 
| Bus Width 128Bit | Bus Width 256Bit | 
| Clock 2250MHz Transfer Rate 18GT/s Bandwidth 288GB/s | Clock 2000MHz Transfer Rate 16GT/s Bandwidth 512GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 100W | TDP 140W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 15360x8640 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate - FreeSync - | Variable Refresh Rate G-Sync FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 3 | Multi Monitor Support 3 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model VCN 4.0 | Model NVENC 7 | 
| Codec - - - - - - VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model VCN 4.0 | Model NVDEC 5 | 
| Codec MPEG-1 MPEG-2 MPEG-4 JPEG VC-1 - 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_2 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 2.2 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.7 - - GFX 11 - - - - | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 8 | - - PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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