NVIDIA GeForce RTX 3050 Ti Laptop 70W vs Intel Arc A730M
            NVIDIA GeForce RTX 3050 Ti Laptop 70W
            
                
            
        
    
            Intel Arc A730M
            
                
            
        
    | 2560 Shaders 4GB GDDR6 1598MHz | 3072 Shaders 12GB GDDR6 1100MHz | 
| Peak AI Performance 261.82 TOPS INT4 Tensor Sparse | Peak AI Performance 216.27 TOPS INT4 Tensor | 
| FP32 8.18 TFLOPS | FP32 6.76 TFLOPS | 
| FP16 8.18 TFLOPS | FP16 13.52 TFLOPS | 
| Form Factor Soldered - | Form Factor Soldered - | 
| TDP 70W | TDP 80W | 
| - - - - - | - - - - - | 
| GB6 OpenCL N/A 0% | |
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | 
| GB5 OpenCL 71,945 24% | GB5 OpenCL 29,420 10% | 
| GB5 CUDA 75,795 21% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 62,345 30% | GB5 Vulkan N/A 0% | 
| OCT 2020.1 160 21% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal 100 17% | 
| Peak AI
                                            Performance 
                                            261.82 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            216.27 TOPS
                                         
                                            INT4 Tensor
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                                            FP16
                                         
                                            8.18 TFLOPS
                                            
                                                
                                            
                                         
                                            32.73 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            65.45 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            16.36 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            32.73 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            13.52 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                            54.07 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
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                                            FP32
                                         
                                            8.18 TFLOPS
                                            
                                                
                                            
                                         
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                                            FP32
                                         
                                            6.76 TFLOPS
                                            
                                                
                                            
                                         
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                                            FP64
                                         
                                            130 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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                                            FP64
                                         
                                            1.69 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            BF16
                                         
                                            8.18 TFLOPS
                                            
                                                
                                            
                                         
                                            16.36 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            32.73 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            -
                                            
                                                
                                            
                                         
                                            54.07 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            8.18 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            16.36 TFLOPS
                                            
                                                 Tensor Sparse
                                            
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                                            INT4
                                         
                                            130.91 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            261.82 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            216.27 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            65.45 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            130.91 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            108.13 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            4.09 TOPS
                                            
                                                
                                            
                                         | 
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| 
                                            Ray Tracing
                                         
                                            16 TOPS
                                         | 
                                            -
                                         
                                            -
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| Pixel
                                            Fillrate 
                                            51.136 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            105.6 GPixel/s
                                         | 
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                                            -
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| Texture
                                            Fillrate 
                                            127.84 GTexel/s
                                         | Texture
                                            Fillrate 
                                            211.2 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerIntel | 
| Chip DesignerNVIDIA | Chip DesignerIntel | 
| ArchitectureAmpere | ArchitectureAlchemist | 
| FamilyGeForce 30 | FamilyArc A | 
| Codename NV177 GA107 Variant GN20-P1 | Codename Xe HPG ACM-G10 Variant DG2-512 | 
| Market Segment Laptop | Market Segment Laptop | 
| Release Date 5/11/2021 | Release Date 6/28/2022 | 
| Foundry Samsung - | Foundry TSMC - | 
| Fabrication Node 8N - | Fabrication Node N6 - | 
| Die Size 200 mm² - | Die Size 406 mm² - | 
| Transistor Count 8.7 Billion - | Transistor Count 21.7 Billion - | 
| Transistor Density 43.50M/mm² - | Transistor Density 53.45M/mm² - | 
| Form Soldered | Form Soldered | 
| Shading Units 2560 Shaders - | Shading Units 3072 Shaders - | 
| Texture Mapping Units 80 TMUs | Texture Mapping Units 192 TMUs | 
| Render Output Units 32 ROPs | Render Output Units 96 ROPs | 
| Tensor Cores 80 T-Cores | Tensor Cores 384 T-Cores | 
| Ray-Tracing Cores 20 RT-Cores | Ray-Tracing Cores 24 RT-Cores | 
| Streaming Multiprocessors 20 SMs | - - | 
| - - | - - | 
| - - | Execution Units 384 EUs | 
| Graphics Processing Clusters 3 GPCs | Graphics Processing Clusters 24 GPCs | 
| - - 1350MHz Base 1598MHz | - - 300MHz Base 1100MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - Unknown | 
| L2 2MB Shared | L2 8MB Shared | 
| - - - | - - - | 
| 4GB GDDR6 - | 12GB GDDR6 - | 
| Bus Width 128Bit | Bus Width 192Bit | 
| Clock 1500MHz Transfer Rate 12GT/s Bandwidth 192GB/s | Clock 1750MHz Transfer Rate 14GT/s Bandwidth 336GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 70W | TDP 80W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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 - FreeSync - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Not Supported | 
| Multi Monitor Support 3 | Multi Monitor Support 4 | 
| Content Protection HDCP 2.3 | - - | 
| Model NVENC 7 | Model Arc | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model NVDEC 5 | Model Arc | 
| Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - MPEG-2 - JPEG - - 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 3.0 Vulkan 1.2 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | 
| Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | Shader Model 6.6 - - - - - - - - | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - PCIe Version 4.0 PCIe Lanes 8 | - - PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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