Intel Arc A750 vs NVIDIA GeForce RTX 4060
            Intel Arc A750
            
                $289
            
        
    
            NVIDIA GeForce RTX 4060
            
                $299
            
        
    | 3584 Shaders 8GB GDDR6 2400MHz | 3072 Shaders 8GB GDDR6 2460MHz | 
| Peak AI Performance 550.5 TOPS INT4 Tensor | Peak AI Performance 483.66 TOPS INT4 Tensor Sparse | 
| FP32 17.2 TFLOPS | FP32 15.11 TFLOPS | 
| FP16 34.41 TFLOPS | FP16 15.11 TFLOPS | 
| Form Factor PCIe Card 2.0-Slots | Form Factor PCIe Card 2.1-Slots | 
| TDP 225W | TDP 115W | 
| - - - - - | Power Connectors - - - 1x 16-Pin 12VHPWR | 
| GB6 Metal N/A 0% | GB6 Metal N/A 0% | 
| GB5 OpenCL 85,585 28% | GB5 OpenCL N/A 0% | 
| 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 N/A 0% | 
| OCT 2020.1 N/A 0% | OCT 2020.1 N/A 0% | 
| OCT Metal 215 36% | OCT Metal N/A 0% | 
| Peak AI
                                            Performance 
                                            550.5 TOPS
                                         
                                            INT4 Tensor
                                         | Peak AI
                                            Performance 
                                            483.66 TOPS
                                         
                                            INT4 Tensor Sparse
                                         | 
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                                         | 
                                            FP8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            120.91 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            241.83 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            60.46 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            120.91 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP16
                                         
                                            34.41 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            137.63 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP16
                                         
                                            15.11 TFLOPS
                                            
                                                
                                            
                                         
                                            60.46 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate)
                                            
                                         
                                            120.91 TFLOPS
                                            
                                                 Tensor (FP16 Accumulate) Sparse
                                            
                                         
                                            30.23 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate)
                                            
                                         
                                            60.46 TFLOPS
                                            
                                                 Tensor (FP32 Accumulate) Sparse
                                            
                                         | 
| 
                                            FP32
                                         
                                            17.2 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
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                                         | 
                                            FP32
                                         
                                            15.11 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            FP64
                                         
                                            4.3 TFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            FP64
                                         
                                            240 GFLOPS
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
| 
                                            BF16
                                         
                                            -
                                            
                                                
                                            
                                         
                                            137.63 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            BF16
                                         
                                            15.11 TFLOPS
                                            
                                                
                                            
                                         
                                            30.23 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            60.46 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            TF32
                                         
                                            15.11 TFLOPS
                                            
                                                 Tensor
                                            
                                         
                                            30.23 TFLOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT4
                                         
                                            550.5 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT4
                                         
                                            241.83 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            483.66 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            275.25 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT8
                                         
                                            -
                                            
                                                
                                            
                                         
                                            120.91 TOPS
                                            
                                                 Tensor
                                            
                                         
                                            241.83 TOPS
                                            
                                                 Tensor Sparse
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                            
                                                
                                            
                                         | 
                                            INT32
                                         
                                            7.56 TOPS
                                            
                                                
                                            
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            Ray Tracing
                                         
                                            34.9 TOPS
                                         | 
| Pixel
                                            Fillrate 
                                            268.8 GPixel/s
                                         | Pixel
                                            Fillrate 
                                            118.08 GPixel/s
                                         | 
| 
                                            -
                                         
                                            -
                                         | 
                                            -
                                         
                                            -
                                         | 
| Texture
                                            Fillrate 
                                            537.6 GTexel/s
                                         | Texture
                                            Fillrate 
                                            236.16 GTexel/s
                                         | 
| ManufacturerIntel | ManufacturerNVIDIA | 
| Chip DesignerIntel | Chip DesignerNVIDIA | 
| ArchitectureAlchemist | ArchitectureAda Lovelace | 
| FamilyArc A | FamilyGeForce 40 | 
| Codename Xe HPG ACM-G10 Variant DG2-512 | Codename NV187 AD107 Variant AD107-400-A1 | 
| Market Segment Desktop | Market Segment Desktop | 
| Release Date 10/14/2022 | Release Date 5/18/2023 | 
| Foundry TSMC - | Foundry TSMC - | 
| Fabrication Node N6 - | Fabrication Node 4N - | 
| Die Size 406 mm² - | Die Size 159 mm² - | 
| Transistor Count 21.7 Billion - | Transistor Count 18.9 Billion - | 
| Transistor Density 53.45M/mm² - | Transistor Density 118.87M/mm² - | 
| Form PCIe Card | Form PCIe Card | 
| Shading Units 3584 Shaders - | Shading Units 3072 Shaders - | 
| Texture Mapping Units 224 TMUs | Texture Mapping Units 96 TMUs | 
| Render Output Units 112 ROPs | Render Output Units 48 ROPs | 
| Tensor Cores 448 T-Cores | Tensor Cores 96 T-Cores | 
| Ray-Tracing Cores 28 RT-Cores | Ray-Tracing Cores 24 RT-Cores | 
| - - | Streaming Multiprocessors 24 SMs | 
| - - | - - | 
| Execution Units 448 EUs | - - | 
| Graphics Processing Clusters 28 GPCs | Graphics Processing Clusters 2 GPCs | 
| - - 2050MHz Base 2400MHz | - - 1830MHz Base 2460MHz | 
| - - | - - | 
| L1 - - - Unknown | L1 64KB/SM Tex 128KB/SM - - | 
| L2 8MB Shared | L2 48MB Shared | 
| - - - | - - - | 
| 8GB GDDR6 - | 8GB GDDR6 - | 
| Bus Width 256Bit | Bus Width 128Bit | 
| Clock 2000MHz Transfer Rate 16GT/s Bandwidth 512GB/s | Clock 2250MHz Transfer Rate 18GT/s Bandwidth 288GB/s | 
| - - - - - - - - - | - - - - - - - - - | 
| TDP 225W | TDP 115W | 
| - - | Temp 90°C Max | 
| - - - - - - - - - - - - - - - - - - - - - - - - - 3x DisplayPort 2.0 - - - - - - - - - - 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 - FreeSync - | Variable Refresh Rate G-Sync FreeSync - | 
| Display Stream Compression (DSC) Not Supported | Display Stream Compression (DSC) Supported | 
| Multi Monitor Support 4 | Multi Monitor Support 4 | 
| - - | Content Protection HDCP 2.3 | 
| Model Arc | Model NVENC 8 | 
| Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | Codec - - - - - - - - AVC (H.264) HEVC (H.265) - AV1 - - | 
| Model Arc | Model NVDEC 5 | 
| Codec - MPEG-2 - JPEG - - 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_3 | 
| OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | OpenGL 4.6 OpenCL 3.0 Vulkan 1.3 | 
| Shader Model 6.6 - - - - - - - - | Shader Model 6.6 CUDA 8.9 - - PureVideo HD VP12 VDPAU Feature Set L | 
| - - - 2x Fans | - - - 2x Fans | 
| - - - - - - - - | Power Connectors - - - - - - 1x 16-Pin 12VHPWR | 
| Slots Required 2.0 PCIe Version 4.0 PCIe Lanes 16 | Slots Required 2.1 PCIe Version 4.0 PCIe Lanes 16 | 
| - - - - | - - - - | 
| Height 98.4 mm (3.87 in) Width 279.9 mm (11.02 in) Depth 40 mm (1.57 in) | Height 98 mm (3.86 in) Width 244 mm (9.61 in) Depth 42 mm (1.65 in) | 
 
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
                             
                                 
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