ZOTAC GeForce RTX 3070 Twin Edge OC LHR vs NVIDIA GeForce RTX 3060 Ti GDDR6X
            ZOTAC GeForce RTX 3070 Twin Edge OC LHR
            
                $530
            
        
    
            NVIDIA GeForce RTX 3060 Ti GDDR6X
            
                $399
            
        
    | 5888 Shaders 8GB GDDR6 1755MHz | 4864 Shaders 8GB GDDR6X 1665MHz | 
| Peak AI Performance 661.34 TOPS INT4 Tensor Sparse | Peak AI Performance 518.31 TOPS INT4 Tensor Sparse | 
| FP32 20.67 TFLOPS | FP32 16.2 TFLOPS | 
| FP16 20.67 TFLOPS | FP16 16.2 TFLOPS | 
| Form Factor PCIe Card 2.0-Slots | Form Factor PCIe Card - | 
| TDP 220W | TDP 200W | 
| Power Connectors - 2x 8-Pin - - | Power Connectors - - 1x 12-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 137,365 45% | GB5 OpenCL N/A 0% | 
| GB5 CUDA 152,440 43% | GB5 CUDA N/A 0% | 
| GB5 Metal N/A 0% | GB5 Metal N/A 0% | 
| GB5 Vulkan 101,960 50% | GB5 Vulkan N/A 0% | 
| OCT 2020.1 415 54% | OCT 2020.1 N/A 0% | 
| OCT Metal N/A 0% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            661.34 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | Peak AI
                                            Performance 
                                            518.31 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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| 
                                            FP16
                                         
                                            20.67 TFLOPS
                                            
                                                
                                            
                                         
                                            82.67 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            165.34 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            41.33 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            82.67 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
                                            FP16
                                         
                                            16.2 TFLOPS
                                            
                                                
                                            
                                         
                                            64.79 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            129.58 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            32.39 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            64.79 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            20.67 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP32
                                         
                                            16.2 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            320 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            250 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            20.67 TFLOPS
                                            
                                                
                                            
                                         
                                            41.33 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            82.67 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            BF16
                                         
                                            16.2 TFLOPS
                                            
                                                
                                            
                                         
                                            32.39 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            64.79 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            TF32
                                         
                                            20.67 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            41.33 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            TF32
                                         
                                            16.2 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            32.39 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            330.67 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            661.34 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT4
                                         
                                            259.15 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            518.31 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            165.34 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            330.67 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            129.58 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            259.15 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT32
                                         
                                            10.33 TOPS
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            8.1 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            Ray Tracing
                                         
                                            31.2 TOPS
                                         | 
                                            Ray Tracing
                                         
                                            24.4 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            168.48 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            133.2 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            322.92 GTexel/s
                                         | Texture
                                            Fillrate 
                                            253.08 GTexel/s
                                         | 
| ManufacturerZOTAC | ManufacturerNVIDIA | 
| Chip DesignerNVIDIA | Chip DesignerNVIDIA | 
| ArchitectureAmpere | ArchitectureAmpere | 
| FamilyGeForce 30 | FamilyGeForce 30 | 
| Codename NV174 GA104 Variant GA104-300-A1 | Codename NV174 GA104 Variant GA104-202 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 10/29/2020 | Release Date 10/27/2022 | 
| Foundry Samsung - | Foundry Samsung - | 
| Fabrication Node 8N - | Fabrication Node 8N - | 
| Die Size 393 mm² - | Die Size 393 mm² - | 
| Transistor Count 17.4 Billion - | Transistor Count 17.4 Billion - | 
| Transistor Density 44.33M/mm² - | Transistor Density 44.33M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 5888 Shaders - | Shading Units 4864 Shaders - | 
| Texture Mapping Units 184 TMUs | Texture Mapping Units 152 TMUs | 
| Render Output Units 96 ROPs | Render Output Units 80 ROPs | 
| Tensor Cores 184 T-Cores | Tensor Cores 152 T-Cores | 
| Ray-Tracing Cores 46 RT-Cores | Ray-Tracing Cores 38 RT-Cores | 
| Streaming Multiprocessors 46 SMs | Streaming Multiprocessors 38 SMs | 
| - - | - - | 
| - - | - - | 
| Graphics Processing Clusters 6 GPCs | Graphics Processing Clusters 5 GPCs | 
| - - 1500MHz Base 1755MHz | - - 1410MHz Base 1665MHz | 
| - - | - - | 
| L1 64KB/SM Tex 128KB/SM - - | L1 64KB/SM Tex 128KB/SM - - | 
| L2 4MB Shared | L2 4MB Shared | 
| - - - | - - - | 
| 8GB GDDR6 - | 8GB GDDR6X - | 
| Bus Width 256Bit | Bus Width 256Bit | 
| Clock 1750MHz Transfer Rate 14GT/s Bandwidth 448GB/s | Clock 1188MHz Transfer Rate 19GT/s Bandwidth 608GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 220W | TDP 200W | 
| Temp 93°C Max | - - | 
| - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 1.4 - - - - - - - - - - - 1x HDMI 2.1 - - | 
| Max Resolution 7680x4320 | Max Resolution 7680x4320 | 
| Max Resolution Refresh Rate 60Hz | 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 3 | 
| Content Protection HDCP 2.3 | Content Protection HDCP 2.3 | 
| Model NVENC 7 | Model NVENC 7 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - - - - | 
| Model NVDEC 5 | 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_2 | Direct X 12 Direct 3D 12_2 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.2 | 
| Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | Shader Model 6.6 CUDA 8.6 - - PureVideo HD VP11 VDPAU Feature Set K | 
| - - - 2x Fans | Not a Card - - - | 
| Power Connectors - - - 2x 8-Pin - - - | Power Connectors - - - - - 1x 12-Pin - | 
| Slots Required 2.0 PCIe Version 4.0 PCIe Lanes 16 | - - PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| Height 141.3 mm (5.56 in) Width 231.9 mm (9.13 in) Depth 41.5 mm (1.63 in) | - - - - - - | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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