NVIDIA GeForce RTX 4070 Super vs AMD Radeon RX 7900 GRE
            NVIDIA GeForce RTX 4070 Super
            
                $599
            
        
    
            AMD Radeon RX 7900 GRE
            
                $549
            
        
    | 7168 Shaders 12GB GDDR6X 2475MHz | 5120 Shaders 16GB GDDR6 2245MHz | 
| Peak AI Performance 1.14 POPS INT4 Tensor Sparse | Peak AI Performance 183.91 TOPS INT4 Tensor | 
| FP32 35.48 TFLOPS | FP32 45.98 TFLOPS | 
| FP16 35.48 TFLOPS | FP16 91.96 TFLOPS | 
| Form Factor PCIe Card 2.1-Slots | Form Factor PCIe Card 2.5-Slots | 
| TDP 225W | TDP 260W | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | Power Connectors - 2x 8-Pin - - | 
| 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 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 
                                            1.14 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            183.91 TOPS
                                         
                                            INT4 Tensor
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            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
                                         
                                            91.96 TFLOPS
                                            
                                                
                                            
                                         
                                            45.98 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            45.98 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            35.48 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            45.98 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            550 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            1.44 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            35.48 TFLOPS
                                            
                                                
                                            
                                         
                                            70.96 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            141.93 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            91.96 TFLOPS
                                            
                                                
                                            
                                         
                                            45.98 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            35.48 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            70.96 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT4
                                         
                                            567.71 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.14 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            183.91 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            283.85 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            567.71 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            45.98 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            17.74 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            22.99 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            82 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            198 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            359.2 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            554.4 GTexel/s
                                         | Texture
                                            Fillrate 
                                            718.4 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerAMD | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureAda Lovelace | ArchitectureRDNA 3 | 
| FamilyGeForce 40 | FamilyRadeon RX 7000 | 
| Codename NV184 AD104 Variant AD104-350-A1 | Codename Plum Bonito Navi 31 Variant Navi 31 XL | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/8/2024 | Release Date 7/27/2023 | 
| Foundry TSMC - | Foundry TSMC TSMC Memory Cache Die | 
| Fabrication Node 4N - | Fabrication Node N5 N6  Memory Cache Die | 
| Die Size 295 mm² - | Die Size 304 mm² 4x 38 mm² Memory Cache Die | 
| Transistor Count 35.8 Billion - | Transistor Count 45.4 Billion 4x 2.1 Billion Memory Cache Die | 
| Transistor Density 121.56M/mm² - | Transistor Density 149.17M/mm² 54.64M/mm² Memory Cache Die | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 7168 Shaders - | Shading Units 5120 Shaders - | 
| Texture Mapping Units 224 TMUs | Texture Mapping Units 320 TMUs | 
| Render Output Units 80 ROPs | Render Output Units 160 ROPs | 
| Tensor Cores 224 T-Cores | Tensor Cores 160 T-Cores | 
| Ray-Tracing Cores 56 RT-Cores | Ray-Tracing Cores 80 RT-Cores | 
| Streaming Multiprocessors 56 SMs | - - | 
| - - | Compute Units 80 CUs | 
| - - | - - | 
| Graphics Processing Clusters 5 GPCs | - - | 
| - - 1980MHz Base 2475MHz | - - 1880MHz Base 2245MHz | 
| - - | L0 64KB/WGP | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - 256KB/Array | 
| L2 36MB Shared | L2 6MB Shared | 
| - - - | L3 64MB Shared 2.25TB/s | 
| 12GB GDDR6X - | 16GB GDDR6 - | 
| Bus Width 192Bit | Bus Width 256Bit | 
| Clock 1313MHz Transfer Rate 21GT/s Bandwidth 504GB/s | Clock 2250MHz Transfer Rate 18GT/s Bandwidth 576GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 225W | TDP 260W | 
| - - | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - - - 2x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 1x USB-C + DP - | 
| Max Resolution 7680x4320 | Max Resolution 15360x8640 | 
| Max Resolution Refresh Rate 60Hz | Max Resolution Refresh Rate 165Hz | 
| 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 3 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model 2x NVENC 8 | Model VCN 4.0 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model NVDEC 5 | Model VCN 4.0 | 
| 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 6.7 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | Shader Model 6.7 - - GFX 11 - - - - | 
| - - - 2x Fans | - - - 3x Fans | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - - 2x 8-Pin - - - | 
| Slots Required 2.1 PCIe Version 4.0 PCIe Lanes 16 | Slots Required 2.5 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | Multi GPU Support Supported Type CrossFire XDMA | 
| Height 112 mm (4.41 in) Width 267 mm (10.51 in) Depth 42 mm (1.65 in) | Height 110 mm (4.33 in) Width 276 mm (10.87 in) Depth 51 mm (2.01 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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