AMD Radeon RX 9070 vs NVIDIA GeForce RTX 2060 Super
            AMD Radeon RX 9070
            
                $549
            
        
    
            NVIDIA GeForce RTX 2060 Super
            
                $399
            
        
    | 3584 Shaders 16GB GDDR6 2520MHz | 2176 Shaders 8GB GDDR6 1650MHz | 
| Peak AI Performance 1.16 POPS INT4 Tensor Sparse | Peak AI Performance 229.79 TOPS INT4 Tensor | 
| FP32 36.13 TFLOPS | FP32 7.18 TFLOPS | 
| FP16 72.25 TFLOPS | FP16 14.36 TFLOPS | 
| Form Factor PCIe Card 2.5-Slots | Form Factor PCIe Card 2.0-Slots | 
| TDP 220W | TDP 175W | 
| Power Connectors - 2x 8-Pin - - | Power Connectors - 1x 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 84,375 28% | 
| GB5 CUDA N/A 0% | GB5 CUDA 95,090 27% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 73,500 36% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 235 31% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            1.16 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            229.79 TOPS
                                         
                                            INT4 Tensor
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            144.51 TFLOPS
                                            
                                                
                                            
                                         
                                            144.51 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            289.01 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            144.51 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            289.01 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            72.25 TFLOPS
                                            
                                                
                                            
                                         
                                            72.25 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            144.51 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            72.25 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            144.51 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            14.36 TFLOPS
                                            
                                                
                                            
                                         
                                            57.45 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            28.72 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            36.13 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            7.18 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            1.13 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            220 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            72.25 TFLOPS
                                            
                                                
                                            
                                         
                                            72.25 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            144.51 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            -
                                            
                                                
                                            
                                         
                                            28.72 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            TF32
                                         
                                            28.72 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT4
                                         
                                            578.03 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.16 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            229.79 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            289.01 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            578.03 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            114.89 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            18.06 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            7.18 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            Ray Tracing
                                         
                                            21.7 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            322.56 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            105.6 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            564.48 GTexel/s
                                         | Texture
                                            Fillrate 
                                            224.4 GTexel/s
                                         | 
| ManufacturerAMD | ManufacturerNVIDIA | 
| Chip DesignerAMD | Chip DesignerNVIDIA | 
| ArchitectureRDNA 4 | ArchitectureTuring | 
| FamilyRadeon RX 9000 | FamilyGeForce 20 | 
| Codename - Navi 48 Variant Navi 48 XL | Codename NV166 TU106 Variant TU106-410-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 7/9/2019 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node N4P - | Fabrication Node 12FFN - | 
| Die Size 357 mm² - | Die Size 445 mm² - | 
| Transistor Count 53.9 Billion - | Transistor Count 10.8 Billion - | 
| Transistor Density 151.19M/mm² - | Transistor Density 24.27M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 3584 Shaders - | Shading Units 2176 Shaders - | 
| Texture Mapping Units 224 TMUs | Texture Mapping Units 136 TMUs | 
| Render Output Units 128 ROPs | Render Output Units 64 ROPs | 
| Tensor Cores 112 T-Cores | Tensor Cores 272 T-Cores | 
| Ray-Tracing Cores 56 RT-Cores | Ray-Tracing Cores 34 RT-Cores | 
| - - | Streaming Multiprocessors 34 SMs | 
| Compute Units 56 CUs | - - | 
| - - | - - | 
| - - | Graphics Processing Clusters 3 GPCs | 
| - - 2210MHz Base 2520MHz | - - 1470MHz Base 1650MHz | 
| L0 64KB/WGP | - - | 
| L1 - - - 256KB/Array | L1 32KB/SM Tex 64KB/SM - - | 
| L2 8MB Shared | L2 4MB Shared | 
| L3 64MB Shared 2.25TB/s | - - - | 
| 16GB GDDR6 - | 8GB GDDR6 - | 
| Bus Width 256Bit | Bus Width 256Bit | 
| Clock 2500MHz Transfer Rate 20GT/s Bandwidth 640GB/s | Clock 1750MHz Transfer Rate 14GT/s Bandwidth 448GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 220W | TDP 175W | 
| - - | Temp 89°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - 1x DVI-D Dual-Link - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - 1x HDMI 2.0 - 1x USB-C + DP - | 
| 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 4 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.2 | 
| 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 4 | 
| 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) - - - - | 
| 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 6.8 - - GFX 12 - - - - | Shader Model 6.6 CUDA 7.5 - - PureVideo HD VP10 VDPAU Feature Set J | 
| - - - 3x Fans | - - - 2x Fans | 
| Power Connectors - - - 2x 8-Pin - - - | Power Connectors - - - 1x 8-Pin - - - | 
| Slots Required 2.5 PCIe Version 5.0 PCIe Lanes 16 | Slots Required 2.0 PCIe Version 3.0 PCIe Lanes 16 | 
| Multi GPU Support Supported Type CrossFire XDMA | - - - - | 
| Height 111 mm (4.37 in) Width 267 mm (10.51 in) Depth 50 mm (1.97 in) | Height 112.6 mm (4.43 in) Width 228.6 mm (9 in) Depth 35 mm (1.38 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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