New Intel DG2 Gaming GPU Reportedly Comes Close to NVIDIA GeForce RTX 3070 Performance

Image: Intel

TUM_APISAK has shared some figures that demonstrate how two of Intel’s upcoming Xe-HPG DG2 gaming GPUs might fare against the competition. According to the leaker, Intel’s second-best DG2 GPU—a newly discovered SKU featuring 448 Execution Units and a boost clock of 1.8 GHz—will come quite close to NVIDIA’s GeForce RTX 3070 graphics cards in terms of performance. This particular GPU is also said to be 8 percent slower than AMD’s Radeon RX 6700 XT. Another of Intel’s DG2 GPUs, which only features 128 Execution Units but a boost clock of 1.9 GHz, is estimated to be 12 percent faster than NVIDIA’s GeForce GTX 1650.

Intel Xe-HPG DG2 GPUs

Package typeBGA2660BGA2660BGA2660TBCTBC
Supported Memory TechnologyGDDR6GDDR6GDDR6GDDR6GDDR6
Memory speed16 Gbps16 Gbps16 Gbps16 Gbps16 Gbps
Interface / bus256-bit192-bit128-bit64-bit64-bit
Memory Size (Max)16 GB12 GB8 GB4 GB4 GB
Smart cache size16 MB16 MB8 MBTBCTBC
Graphics Execution Units (EUs) 512384256196128
Graphics Frequency (High) Mobile 1.1 GHz600 MHz450 MHzTBCTBC
Graphics Frequency (Turbo) Mobile1.8 GHz1.8 GHz1.4 GHzTBCTBC
TDP Mobile (Chip Only)100100100TBCTBC
Source: Igor’s Lab

Intel Xe-HPG DG2 GPU Based Discrete Gaming Graphics Cards

GPU VariantGPU SKUExecution UnitsShading Units (Cores)Memory CapacityMemory BusTGP
Xe-HPG 512EUDG2-512EU512 EUs409616/8 GB GDDR6256-bit~275W
Xe-HPG 384EUDG2-384EU384 EUs307212/6 GB GDDR6192-bitTBC
Xe-HPG 256EUDG2-384EU256 EUs20488/4 GB GDDR6128-bitTBC
Xe-HPG 192EUDG2-384EU192 EUs15364 GB GDDR6128-bitTBC
Xe-HPG 128EUDG2-128EU128 EUs10244 GB GDDR664-bitTBC
Xe-HPG 96EUDG2-128EU86 EUs7684 GB GDDR664-bit~120W
Source: Wccftech

[…] the Intel Xe-HPG DG2-448 EU SKU tested was operating at a clock speed of around 1.8 GHz while the 128 EU SKU was operating at a clock speed of around 1.9 GHz. We don’t know if that’s the average, max, or base clock speed but given what we have seen on the Xe architecture, it should be the maximum clock speed.

Sources: TUM_APISAK, Wccftech, Igor’s Lab

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