NVIDIA GeForce RTX 5070 vs MSI GeForce RTX 3060 Ventus 2X OC
            NVIDIA GeForce RTX 5070
            
                $549
            
        
    
            MSI GeForce RTX 3060 Ventus 2X OC
            
                $380
            
        
    | 6144 Shaders 12GB GDDR7 2512MHz | 3584 Shaders 12GB GDDR6 1807MHz | 
| Peak AI Performance 987.76 TFLOPS FP4 Tensor Sparse | Peak AI Performance 414.48 TOPS INT4 Tensor Sparse | 
| FP32 30.87 TFLOPS | FP32 12.95 TFLOPS | 
| FP16 30.87 TFLOPS | FP16 12.95 TFLOPS | 
| Form Factor PCIe Card 2.1-Slots | Form Factor PCIe Card 2.1-Slots | 
| TDP 250W | TDP 170W | 
| 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 98,090 32% | 
| GB5 CUDA N/A 0% | GB5 CUDA 100,785 28% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan N/A 0% | GB5 Vulkan 77,125 38% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 310 41% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            987.76 TFLOPS
                                         
                                            FP4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            414.48 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
| 
                                            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
                                         
                                            12.95 TFLOPS
                                            
                                                
                                            
                                         
                                            51.81 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            103.62 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            25.91 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            51.81 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            30.87 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            12.95 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            480 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            200 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            30.87 TFLOPS
                                            
                                                
                                            
                                         
                                            61.74 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            123.47 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            12.95 TFLOPS
                                            
                                                
                                            
                                         
                                            25.91 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            51.81 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            30.87 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            61.73 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            12.95 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            25.91 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            207.24 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            414.48 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            246.94 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            493.88 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            103.62 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            207.24 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            30.87 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            6.48 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            93.6 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            19.5 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            200.96 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            86.736 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            482.304 GTexel/s
                                         | Texture
                                            Fillrate 
                                            202.384 GTexel/s
                                         | 
| ManufacturerNVIDIA | ManufacturerMSI | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureBlackwell | ArchitectureAmpere | 
| FamilyGeForce 50 | FamilyGeForce 30 | 
| Codename NV195 GB205 Variant GB205-300-A1 | Codename NV176 GA106 Variant GA106-300-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 1/6/2025 | Release Date 2/25/2021 | 
| Foundry TSMC - | Foundry Samsung - | 
| Fabrication Node 4NP - | Fabrication Node 8N - | 
| Die Size 263 mm² - | Die Size 276 mm² - | 
| Transistor Count 31.1 Billion - | Transistor Count 13.3 Billion - | 
| Transistor Density 118.25M/mm² - | Transistor Density 48.01M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 6144 Shaders - | Shading Units 3584 Shaders - | 
| Texture Mapping Units 192 TMUs | Texture Mapping Units 112 TMUs | 
| Render Output Units 80 ROPs | Render Output Units 48 ROPs | 
| Tensor Cores 192 T-Cores | Tensor Cores 112 T-Cores | 
| Ray-Tracing Cores 48 RT-Cores | Ray-Tracing Cores 28 RT-Cores | 
| Streaming Multiprocessors 48 SMs | Streaming Multiprocessors 28 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 4 GPCs | Graphics Processing Clusters 3 GPCs | 
| - - 2160MHz Base 2512MHz | - - 1320MHz Base 1807MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 40MB Shared | L2 3MB Shared | 
| - - - | - - - | 
| 12GB GDDR7 - | 12GB GDDR6 - | 
| Bus Width 192Bit | Bus Width 192Bit | 
| Clock 1750MHz Transfer Rate 28GT/s Bandwidth 672GB/s | Clock 1875MHz Transfer Rate 15GT/s Bandwidth 360GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 250W | TDP 170W | 
| Temp 85°C Max | Temp 93°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 60Hz | 
| Variable Refresh Rate G-Sync FreeSync - | Variable Refresh Rate G-Sync 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 NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 6 | Model NVDEC 5 | 
| 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 - VC-1 VP8 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 3.0 Vulkan 1.2 | 
| Shader Model 6.8 CUDA 12.8 - - PureVideo HD VP13 VDPAU Feature Set M | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| - - - 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 2.1 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| Height 112 mm (4.41 in) Width 242 mm (9.53 in) Depth 42 mm (1.65 in) | Height 124 mm (4.88 in) Width 235 mm (9.25 in) Depth 42 mm (1.65 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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