NVIDIA GeForce RTX 5070 vs PowerColor Radeon RX 6600 XT Hellhound
            NVIDIA GeForce RTX 5070
            
                $549
            
        
    
            PowerColor Radeon RX 6600 XT Hellhound
            
                $379
            
        
    | 6144 Shaders 12GB GDDR7 2512MHz | 2048 Shaders 8GB GDDR6 2593MHz | 
| Peak AI Performance 987.76 TFLOPS FP4 Tensor Sparse | Peak AI Performance 21.24 TFLOPS FP16 | 
| FP32 30.87 TFLOPS | FP32 10.62 TFLOPS | 
| FP16 30.87 TFLOPS | FP16 21.24 TFLOPS | 
| Form Factor PCIe Card 2.1-Slots | Form Factor PCIe Card 2.2-Slots | 
| TDP 250W | TDP 160W | 
| Power Connectors - - - 1x 16-Pin 12VHPWR | Power Connectors - 1x 8-Pin - - | 
| GB6 OpenCL N/A 0% | GB6 OpenCL N/A 0% | 
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB6 Vulkan N/A 0% | GB6 Vulkan N/A 0% | 
| GB5 OpenCL N/A 0% | GB5 OpenCL 92,545 30% | 
| 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 66,040 32% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal 215 37% | 
| Peak AI
                                            Performance 
                                            987.76 TFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            21.24 TFLOPS
                                         
                                            FP16
                                         | 
| 
                                            FP4
                                         
                                            493.88 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            987.76 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            246.94 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            493.88 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            123.47 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            246.94 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP16
                                         
                                            30.87 TFLOPS
                                            
                                                
                                            
                                         
                                            123.47 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            246.94 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            61.74 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            123.47 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            21.24 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP32
                                         
                                            30.87 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            10.62 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            480 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            660 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            30.87 TFLOPS
                                            
                                                
                                            
                                         
                                            61.74 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            123.47 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            TF32
                                         
                                            30.87 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            61.73 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            246.94 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            493.88 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            INT32
                                         
                                            30.87 TOPS
                                            
                                                
                                            
                                         | 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            93.6 TOPS
                                         | 
                                            -
                                         
                                            -
                                         | 
| Pixel
                                            Fillrate 
                                            200.96 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            165.952 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            482.304 GTexel/s
                                         | Texture
                                            Fillrate 
                                            331.904 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerPowerColor | 
| Chip DesignerNVIDIA | Chip DesignerAMD | 
| ArchitectureBlackwell | ArchitectureRDNA 2 | 
| FamilyGeForce 50 | FamilyRadeon RX 6000 | 
| Codename NV195 GB205 Variant GB205-300-A1 | Codename Dimgrey Cavefish Navi 23 Variant Navi 23 XT | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 8/11/2021 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node 4NP - | Fabrication Node N7 - | 
| Die Size 263 mm² - | Die Size 237 mm² - | 
| Transistor Count 31.1 Billion - | Transistor Count 11.1 Billion - | 
| Transistor Density 118.25M/mm² - | Transistor Density 46.67M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 6144 Shaders - | Shading Units 2048 Shaders - | 
| Texture Mapping Units 192 TMUs | Texture Mapping Units 128 TMUs | 
| Render Output Units 80 ROPs | Render Output Units 64 ROPs | 
| Tensor Cores 192 T-Cores | - - | 
| Ray-Tracing Cores 48 RT-Cores | Ray-Tracing Cores 32 RT-Cores | 
| Streaming Multiprocessors 48 SMs | - - | 
| - - | Compute Units 32 CUs | 
| - - | - - | 
| Graphics Processing Clusters 4 GPCs | Graphics Processing Clusters 1 GPC | 
| - - 2160MHz Base 2512MHz | - - 2188MHz Base 2593MHz | 
| - - | L0 32KB/WGP | 
| L1 64KB/SM Tex 128KB/SM - - | L1 - - - 128KB/Array | 
| L2 40MB Shared | L2 2MB Shared | 
| - - - | L3 32MB Shared 0.83TB/s | 
| 12GB GDDR7 - | 8GB GDDR6 - | 
| Bus Width 192Bit | Bus Width 128Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 672GB/s | Clock 2000MHz Transfer Rate 16GT/s Bandwidth 256GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 250W | TDP 160W | 
| Temp 85°C Max | Temp 110°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 2.1 - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 165Hz | Max Resolution Refresh Rate 120Hz | 
| 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 4 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model NVENC 9 | Model VCN 3.0 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 6 | Model VCN 3.0 | 
| 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 2.1 Vulkan 1.2 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.5 - - GFX 10.3 - - - - | 
| - - - 2x Fans | - - - 2x Fans | 
| Power Connectors - - - - - - 1x 16-Pin 12VHPWR | Power Connectors - - - 1x 8-Pin - - - | 
| Slots Required 2.1 PCIe Version 5.0 PCIe Lanes 16 | Slots Required 2.2 PCIe Version 4.0 PCIe Lanes 8 | 
| - - - - | Multi GPU Support Supported Type Bridgeless | 
| Height 112 mm (4.41 in) Width 242 mm (9.53 in) Depth 42 mm (1.65 in) | Height 132 mm (5.2 in) Width 220 mm (8.66 in) Depth 45 mm (1.77 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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