NVIDIA GeForce RTX 4070 Super vs 8-Core M1
            NVIDIA GeForce RTX 4070 Super
            
                $599
            
        
    
            8-Core M1
            
                
            
        
    | 7168 Shaders 12GB GDDR6X 2475MHz | 1024 Shaders Shared Memory 1278MHz | 
| Peak AI Performance 1.14 POPS INT4 Tensor Sparse | Peak AI Performance 2.62 TFLOPS FP16 | 
| FP32 35.48 TFLOPS | FP32 2.62 TFLOPS | 
| FP16 35.48 TFLOPS | FP16 2.62 TFLOPS | 
| Form Factor PCIe Card 2.1-Slots | Form Factor iGPU - | 
| TDP 225W | TDP Shared | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | - - - - - | 
| 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 18,260 6% | 
| GB5 CUDA N/A 0% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal 21,170 12% | 
| 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 50 9% | 
| Peak AI
                                            Performance 
                                            1.14 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            2.62 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            283.85 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            567.71 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            141.93 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            283.85 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            35.48 TFLOPS
                                            
                                                
                                            
                                         
                                            141.93 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            283.85 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            70.96 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            141.93 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            2.62 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            35.48 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            2.62 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            550 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            35.48 TFLOPS
                                            
                                                
                                            
                                         
                                            70.96 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            141.93 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            35.48 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            70.96 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT4
                                         
                                            567.71 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.14 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            283.85 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            567.71 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            17.74 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            82 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            198 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            40.896 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            554.4 GTexel/s
                                         | Texture
                                            Fillrate 
                                            81.792 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerApple | 
| Chip DesignerNVIDIA | Chip DesignerApple | 
| ArchitectureAda Lovelace | ArchitectureApple Gen 4 | 
| FamilyGeForce 40 | FamilyM Series | 
| Codename NV184 AD104 Variant AD104-350-A1 | Codename G13G M1 - - | 
| Market Segment Desktop | Market Segment Laptop | 
| Release Date 1/8/2024 | Release Date 11/10/2020 | 
| Foundry TSMC - | - - - | 
| Fabrication Node 4N - | - - - | 
| Die Size 295 mm² - | - - - | 
| Transistor Count 35.8 Billion - | - - | 
| Transistor Density 121.56M/mm² - | - - - | 
| Form PCIe Card | Form iGPU | 
| Shading Units 7168 Shaders - | Shading Units 1024 Shaders - | 
| Texture Mapping Units 224 TMUs | Texture Mapping Units 64 TMUs | 
| Render Output Units 80 ROPs | Render Output Units 32 ROPs | 
| Tensor Cores 224 T-Cores | - - | 
| Ray-Tracing Cores 56 RT-Cores | - - | 
| Streaming Multiprocessors 56 SMs | - - | 
| - - | - - | 
| - - | Execution Units 128 EUs | 
| Graphics Processing Clusters 5 GPCs | Graphics Processing Clusters 8 GPCs | 
| - - 1980MHz Base 2475MHz | - - - 1278MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - Unknown | 
| L2 36MB Shared | L2 Unknown | 
| - - - | - - - | 
| 12GB GDDR6X - | Shared Memory - - | 
| Bus Width 192Bit | - | 
| Clock 1313MHz Transfer Rate 21GT/s Bandwidth 504GB/s | - - - - - - | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 225W | TDP Shared | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - No Ports | 
| Max Resolution 7680x4320 | Max Resolution 6016x3384 | 
| Max Resolution Refresh Rate 60Hz | Max Resolution Refresh Rate 60Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate - - - | 
| Display Stream Compression (DSC) Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 1 | 
| Content Protection HDCP 2.3 | - - | 
| Model 2x NVENC 8 | Model Apple Media Engine 1 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 5 | Model Apple Media Engine 1 | 
| Codec MPEG-1 MPEG-2 MPEG-4 - VC-1 VP8 VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Direct X 12 Direct 3D 12_3 | - - - - | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | - - - - - - | 
| Shader Model 6.7 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | - - - - - - - - - - | 
| - - - 2x Fans | Not a Card - - - | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | - - - - - - - - | 
| Slots Required 2.1 PCIe Version 4.0 PCIe Lanes 16 | - - - - - - | 
| - - - - | - - - - | 
| Height 112 mm (4.41 in) Width 267 mm (10.51 in) Depth 42 mm (1.65 in) | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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