AMD Radeon RX 9070 XT vs GIGABYTE Radeon RX 6800 XT Aorus Master
            AMD Radeon RX 9070 XT
            
                $599
            
        
    
            GIGABYTE Radeon RX 6800 XT Aorus Master
            
                $649
            
        
    | 4096 Shaders 16GB GDDR6 2970MHz | 4608 Shaders 16GB GDDR6 2310MHz | 
| Peak AI Performance 1.56 POPS INT4 Tensor Sparse | Peak AI Performance 42.58 TFLOPS FP16 | 
| FP32 48.66 TFLOPS | FP32 21.29 TFLOPS | 
| FP16 97.32 TFLOPS | FP16 42.58 TFLOPS | 
| Form Factor PCIe Card 2.5-Slots | Form Factor PCIe Card 3.0-Slots | 
| TDP 304W | TDP 300W | 
| Power Connectors - 2x 8-Pin - - | 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 161,145 53% | 
| GB5 CUDA N/A 0% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal 153,505 85% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 103,445 50% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal 365 62% | 
| Peak AI
                                            Performance 
                                            1.56 POPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            42.58 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            194.64 TFLOPS
                                            
                                                
                                            
                                         
                                            194.64 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            389.28 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            194.64 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            389.28 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            97.32 TFLOPS
                                            
                                                
                                            
                                         
                                            97.32 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            194.64 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            97.32 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            194.64 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            42.58 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            48.66 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            21.29 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            1.52 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            1.33 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            97.32 TFLOPS
                                            
                                                
                                            
                                         
                                            97.32 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            194.64 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT4
                                         
                                            778.57 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            1.56 POPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            389.28 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            778.57 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            24.33 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            380.16 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            295.68 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            760.32 GTexel/s
                                         | Texture
                                            Fillrate 
                                            665.28 GTexel/s
                                         | 
| ManufacturerAMD | ManufacturerGIGABYTE | 
| Chip DesignerAMD | Chip DesignerAMD | 
| ArchitectureRDNA 4 | ArchitectureRDNA 2 | 
| FamilyRadeon RX 9000 | FamilyRadeon RX 6000 | 
| Codename - Navi 48 Variant Navi 48 XT | Codename Sienna Cichlid Navi 21 Variant Navi 21 XT | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 11/18/2020 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node N4P - | Fabrication Node N7 - | 
| Die Size 357 mm² - | Die Size 520 mm² - | 
| Transistor Count 53.9 Billion - | Transistor Count 26.8 Billion - | 
| Transistor Density 151.19M/mm² - | Transistor Density 51.56M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 4096 Shaders - | Shading Units 4608 Shaders - | 
| Texture Mapping Units 256 TMUs | Texture Mapping Units 288 TMUs | 
| Render Output Units 128 ROPs | Render Output Units 128 ROPs | 
| Tensor Cores 128 T-Cores | - - | 
| Ray-Tracing Cores 64 RT-Cores | Ray-Tracing Cores 72 RT-Cores | 
| - - | - - | 
| Compute Units 64 CUs | Compute Units 72 CUs | 
| - - | - - | 
| - - | Graphics Processing Clusters 4 GPCs | 
| - - 2400MHz Base 2970MHz | - - 1825MHz Base 2310MHz | 
| L0 64KB/WGP | L0 32KB/WGP | 
| L1 - - - 256KB/Array | L1 - - - 128KB/Array | 
| L2 8MB Shared | L2 4MB Shared | 
| L3 64MB Shared 2.25TB/s | L3 128MB Shared 1.66TB/s | 
| 16GB GDDR6 - | 16GB GDDR6 - | 
| Bus Width 256Bit | Bus Width 256Bit | 
| Clock 2500MHz Transfer Rate 20GT/s Bandwidth 640GB/s | Clock 2000MHz Transfer Rate 16GT/s Bandwidth 512GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 304W | TDP 300W | 
| - - | Temp 110°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 2x DisplayPort 1.4 - - - - - - - - - - - 2x HDMI 2.1 - - | 
| Max Resolution 15360x8640 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 120Hz | 
| Variable Refresh Rate - FreeSync - | Variable Refresh Rate - 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 2.3 | 
| Model VCN 4.0 | Model VCN 3.0 | 
| Codec - - - - - - VP9 - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model VCN 4.0 | Model VCN 3.0 | 
| 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 JPEG VC-1 - 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 2.2 Vulkan 1.3 | OpenGL 4.6 OpenCL 2.1 Vulkan 1.2 | 
| Shader Model 6.8 - - GFX 12 - - - - | Shader Model 6.5 - - GFX 10.3 - - - - | 
| - - - 3x Fans | - - - 3x Fans | 
| Power Connectors - - - 2x 8-Pin - - - | Power Connectors - - - 2x 8-Pin - - - | 
| Slots Required 2.5 PCIe Version 5.0 PCIe Lanes 16 | Slots Required 3.0 PCIe Version 4.0 PCIe Lanes 16 | 
| Multi GPU Support Supported Type CrossFire XDMA | Multi GPU Support Supported Type Bridgeless | 
| Height 111 mm (4.37 in) Width 267 mm (10.51 in) Depth 50 mm (1.97 in) | Height 140 mm (5.51 in) Width 324 mm (12.76 in) Depth 60 mm (2.36 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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