GeForce GTX 1660’s ROP count compares favorably to RTX 2060, which also utilizes 48 render outputs. In total, TU116 exposes 48 ROPs and 1.5MB of L2. Combined with the loss of two SMs, dropping from GDDR6 to GDDR5 memory accounts for GeForce GTX 1660’s lower performance versus 1660 Ti.Įach memory controller is associated with eight ROPs and a 256KB slice of L2 cache. That’s comparable to GeForce GTX 1060 6GB, and a 33% reduction compared to GeForce GTX 1660 Ti. Six 32-bit memory controllers give TU116 an aggregate 192-bit bus, which is populated by 8 Gb/s GDDR5 modules that push up to 192 GB/s. On paper, then, GeForce GTX 1660 offers up to 5 TFLOPS of FP32 performance and 10 TFLOPS of FP16 throughput. Our Gigabyte GeForce GTX 1660 OC 6G sample maintained a steady 1,935 MHz through three runs of Metro: Last Light, operating about 90 MHz faster than the 1660 Ti we reviewed a few weeks ago. Both of those numbers are slightly higher than GeForce GTX 1660 Ti’s clocks, though they cannot compensate entirely for the missing SMs. However, the official base clock rate is 1,530 MHz with a GPU Boost specification of 1,785 MHz. In losing two SMs, GeForce GTX 1660 ends up with 1,408 active CUDA cores and 88 usable texture units.īoard partners will undoubtedly target a range of frequencies to differentiate their cards. With 64 FP32 cores per SM, that’s 1,536 CUDA cores and 96 texture units across the entire GPU. Nvidia packs 24 SMs into TU116, splitting them between three Graphics Processing Clusters. That story also introduced Turing's accelerated video encode and decode capabilities, which carry over to GeForce GTX 1660 as well. We covered this technology in Nvidia’s Turing Architecture Explored: Inside the GeForce RTX 2080. In addition to the Turing architecture’s shaders and unified cache, TU116 also supports a pair of algorithms called Content Adaptive Shading and Motion Adaptive Shading, together referred to as Variable Rate Shading. ![]() GeForce GTX 1060, which only supported FP16 symbolically, barely registers on the chart at all. When we ran Sandra's Scientific Analysis module, which tests general matrix multiplies, we see how much more FP16 throughput TU106's Tensor cores achieve compared to TU116. ![]() The following chart is an updated version of the one published in our GeForce GTX 1660 Ti review, which illustrates TU116’s massive improvement to half-precision throughput compared to GeForce GTX 1060 and its Pascal-based GP106 chip. The other Turing-based GPUs boast double-rate FP16 as well through their Tensor cores, so TU116’s configuration serves to maintain that standard through hardware put in place specifically for this GPU. In TU116, Nvidia replaces Turing’s Tensor cores with 128 dedicated FP16 cores per SM, which allow GeForce GTX 1660 to process half-precision operations at 2x the rate of FP32. In between, it's free to issue a different instruction to any other unit, including the INT32 cores. Because Turing doubles up on schedulers, it only needs to issue an instruction to the CUDA cores every other clock cycle to keep them full. Four of those 16-core groupings comprise the SM, along with 96KB of cache that can be configured as 64KB L1/32KB shared memory or vice versa, and four texture units. The newer architecture assigns one scheduler to each set of 16 CUDA cores (2x Pascal), along with one dispatch unit per 16 CUDA cores (same as Pascal). Turing’s Streaming Multiprocessors are composed of fewer CUDA cores than Pascal’s, but the design compensates in part by spreading more SMs across each GPU. When you hear about Turing cores achieving better performance than Pascal at a given clock rate, this capability largely explains why. Like the higher-end GeForce RTX 20-series cards, GeForce GTX 1660 supports simultaneous execution of FP32 arithmetic instructions, which constitute most shader workloads, and INT32 operations (for addressing/fetching data, floating-point min/max, compare, etc.). Some of that growth is attributable to the Turing architecture’s more sophisticated shaders. ![]() We’re obviously still dealing with a processor devoid of Nvidia’s future-looking RT and Tensor cores, measuring 284mm² and composed of 6.6 billion transistors manufactured using TSMC’s 12nm FinFET process.ĭespite its smaller transistors, TU116 is 42 percent larger than the GP106 processor that preceded it. It’s a close relative of the GeForce GTX 1660 Ti’s TU116-400-A1, trimmed from 24 Streaming Multiprocessors to 22. The GPU at the heart of GeForce GTX 1660 is specifically named TU116-300-A1. TU116 Recap: Turing Without the RT and Tensor Cores
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