NVIDIA GA10B 16SM 918MHz vs Qualcomm Adreno 730+
            NVIDIA GA10B 16SM 918MHz
            
                
            
        
    
            Qualcomm Adreno 730+
            
                
            
        
    | 1024 Shaders Shared Memory 918MHz | 1024 Shaders Shared Memory 900MHz | 
| Peak AI Performance 120.32 TOPS INT4 Tensor Sparse | Peak AI Performance 3.69 TFLOPS FP16 | 
| FP32 1.88 TFLOPS | FP32 1.84 TFLOPS | 
| FP16 3.76 TFLOPS | FP16 3.69 TFLOPS | 
| Form Factor iGPU - | Form Factor iGPU - | 
| TDP Shared | TDP 5W | 
| - - - - - | - - - - - | 
| 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 
                                            120.32 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            3.69 TFLOPS
                                         
                                            FP16
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| 
                                            FP16
                                         
                                            3.76 TFLOPS
                                            
                                                
                                            
                                         
                                            15.04 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            30.08 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            15.04 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            30.08 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            3.69 TFLOPS
                                            
                                                
                                            
                                         
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| 
                                            FP32
                                         
                                            1.88 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            1.84 TFLOPS
                                            
                                                
                                            
                                         
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                                         | 
                                            FP64
                                         
                                            460 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            -
                                            
                                                
                                            
                                         
                                            15.04 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            30.08 TFLOPS
                                            
                                                 Tensor Sparse
                                            
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| 
                                            TF32
                                         
                                            7.52 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            15.04 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
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| 
                                            INT4
                                         
                                            60.16 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            120.32 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
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                                            -
                                            
                                                
                                            
                                         
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| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            30.08 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            60.16 TOPS
                                            
                                                 Tensor Sparse
                                            
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| Pixel
                                            Fillrate 
                                            14.688 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            28.8 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
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                                            -
                                         
                                            -
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| Texture
                                            Fillrate 
                                            7.344 GTexel/s
                                         | Texture
                                            Fillrate 
                                            57.6 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerQualcomm | 
| Chip DesignerNVIDIA | Chip DesignerQualcomm | 
| ArchitectureAmpere | ArchitectureAdreno 700 | 
| FamilyJetson | FamilyAdreno 700 | 
| Codename Hercules GA10B - - | - - - - - | 
| Market Segment Mobile | Market Segment Mobile | 
| Release Date 12/1/2022 | Release Date 5/20/2022 | 
| - - - | - - - | 
| - - - | - - - | 
| - - - | - - - | 
| - - | - - | 
| - - - | - - - | 
| Form iGPU | Form iGPU | 
| Shading Units 1024 Shaders - | Shading Units 1024 Shaders - | 
| Texture Mapping Units 8 TMUs | Texture Mapping Units 64 TMUs | 
| Render Output Units 16 ROPs | Render Output Units 32 ROPs | 
| Tensor Cores 32 T-Cores | - - | 
| - - | - - | 
| Streaming Multiprocessors 8 SMs | - - | 
| - - | - - | 
| - - | Execution Units 8 EUs | 
| Graphics Processing Clusters 1 GPC | - - | 
| - - - 918MHz | - - - 900MHz | 
| - - | - - | 
| L1 64KB/SM Tex 192KB/SM - - | L1 2KB/SM Tex - - - | 
| L2 2MB Shared | L2 256KB Shared | 
| - - - | L3 2MB Shared - | 
| Shared Memory - - | Shared Memory - - | 
| - | - | 
| - - - - - - | - - - - - - | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP Shared | TDP 5W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution Unknown | Max Resolution 3840x2160 | 
| Max Resolution Refresh Rate - | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate - - - | 
| Display Stream Compression (DSC) Not Supported | Display Stream Compression (DSC) Not Supported | 
| Multi Monitor Support Unknown | Multi Monitor Support 1 | 
| - - | - - | 
| Model NVENC 7 | Model Hexagon | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - MPEG-4 - VC-1 VP8 VP9 H.263 AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 5 | Model Hexagon | 
| 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_2 | Direct X 12 Direct 3D 12_1 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 3.2 OpenCL 2.0 Vulkan 1.1 | 
| Shader Model 6.7 CUDA 8.7 - - PureVideo HD VP11 VDPAU Feature Set K | - - - - - - - - - - | 
| Not a Card - - - | Not a Card - - - | 
| - - - - - - - - | - - - - - - - - | 
| - - - - - - | - - - - - - | 
| - - - - | - - - - | 
| - - - - - - | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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