ByAdeline Belluz 2019-06-11 1198
The first two graphics cards from AMD's Navi generation are named Radeon RX 5700 XT and Radeon RX 5700. Both use the Navi-10 GPU, which covers the new upper class, but is positioned below Vega 20, which sits on the Radeon VII. First of all: Navi 10 is exactly 251 mm² in size and comprises 10.3 billion transistors. Remember: Vega 10 uses 12.5 billion transistors on 486 mm² in Globalfoundries' 14LPP process, Vega 20 13.2 billion on 331 mm². The latter GPU scales worse with TSMC's 7nm process because the fast PCI Express 4.0 and Infinity fabric controllers shrink poorly.
The fastest model, the Radeon RX 5700 XT, comes with a fully activated Navi-10 GPU. This means: 2,560 shader units organized within 40 compute units and a 256 bit wide memory interface designed for GDDR6 RAM. AMD uses 8 GiByte with 14 Gbps (7.000 MHz), which results in a bandwidth of 448 GB/s. On the GPU side, the chip manufacturer now speaks of a basic, game and boost clock. The explanation behind this is simple: The base clock is guaranteed under load and "normal" operating conditions, the boost value corresponds to the end of the flagpole. The game clock should be a realistic practical indication.
In the case of the Radeon RX 5700 XT, 9.75 TFLOPS FP32 computing power at up to 1,905 MHz GPU frequency is mentioned. The so-called Total Board Power (TBP) amounts to 225 watts. The Radeon RX 5700 uses a slightly reduced Navi 10 graphics chip with 36 compute units or 2,304 shader units. On the memory side it remains at 8 GiByte 14-Gbps-GDDR6. With a lower GPU clock rate of 1.465 to 1.725 MHz, AMD limits the TBP to 180 watts.
Modell | RX 5700 XT | RX 5700 | Radeon VII | RX Vega 64 | RX Vega 56 |
Codename/Confection | Navi 10 XT | Navi 10 XL | Vega 20 XT | Vega 10 XT | Vega 10 XL |
Chip size (pure die) | 251 mm² | 251 mm² | 331 mm² | 486 mm² | 486 mm² |
Transistors Graphics chip (million) | 10.300 | 10.300 | 13.200 | 12.500 | 12.500 |
manufacturing processes | 7 nm FF | 7 nm FF | 7 nm FF | 14 nm LPP | 14 nm LPP |
ALUs/SIMDs/TMUs/ROPs | 2.560/40/160/64 | 2.304/36/144/64 | 3.840/60/240/64 | 4.096/64/256/64 | 3.584/64/224 /64 |
GPU base clock (MHz) | 1.605 | 1.465 | 1.400 | 1.247 | 1.156 |
GPU boost clock (MHz) | 1.755 | 1.625 | 1.750 | 1.546 | 1.471 |
FP32/FP64 performance (TFLOPS) | 8,98/? | 7,49/? | 13,44/3,36 | 12,66/0,79 | 10.544/659 |
Size of the level 2 cache (KiB) | 4.096 | 4.096 | 4.096 | 4.096 | 4.096 |
Memory connection (bit) | 256 | 256 | 4.096 | 2.048 | 2.048 |
Speed RAM (GT/s) | 14 | 14 | 2 | 1,89 | 1,6 |
storage type | GDDR6 | GDDR6 | HBM gen2 | HBM gen2 | HBM gen2 |
Memory transfer (GB/s) | 448 | 448 | 1024 | 483,8 | 409,6 |
Storage capacity (MiB) | 8.192 | 8.192 | 16.384 | 8.192 | 8.192 |
PCI-Express Power Connectors | Je 1 × 6- + 8-polig | 2 × 6-polig | 2 × 8-polig | 2 × 8-polig | 2 × 8-polig |
Typical power consumption | 225 Watt | 180 Watt | 300 Watt | 295 Watt | 210 Watt |
Although Navi 10 has significantly less raw performance, graphics cards with the GPU should in practice fail significantly faster than their GCN-based predecessors, including the Radeon RX Vega 64 with 4,096 shaders. This is due to the RDNA architecture, which sees AMD as a fundamental innovation compared to the Graphics Core Next. At the Techday, the chip manufacturer discussed the details of the GCN successor in more detail.
Per Compute Unit it remains superficial with 64 FP32 shaders, which are however reorganized. Instead of four SIMD16 blocks, each CU contains two SIMD32 blocks. By doubling the number of schedulers, they can process either one Wave64 or two Wave32 instructions per clock, which can quadruple the workload by up to four times. GCN to Vega requires Wave64 formats that can be distributed over all four bars. In the Worstcase, one instruction feeds only one SIMD16 unit, while three quarters of a CU have no work - this is where GCN-specific optimizations by developers come in to tickle more performance from Vega and Co. Navi 10, on the other hand, still handles a double FP16 rate. Two compute units can be combined to form a workgroup processor, which can increase performance if they want to access the same data. AMD didn't comment on FP64 support, we wouldn't expect a high rate in view of the gaming focus.
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