部分长板上拥有优势，但短板也很明显。
来源： HotHardware
Koduri says that he approaches these issues as an architect. Instead of examining end-results, like gaming benchmarks, he focuses on “microbenchmarks.” These are focused on simplified workloads that stress singular aspects of the GPU. Through this granularity, strengths and bottlenecks alike can be identified so they can be focused on. As examples, Koduri shows the Arc A770 LE provides 2.5x the pixel throughput color blend of the NVIDIA GeForce RTX 3060, its price competitor. It similarly offers 2x the compute throughput in 32-bit floating point operations.
However, a system is only as strong as its weakest links. To that end, Raja shows that the Arc card is only delivering 0.8x the bandwidth of its NVIDIA foil when copying data from the CPU to GPU. He remarks that copying data in this way was just not necessary with integrated GPUs, and as such they are learning how to do it more efficiently with Arc. He goes on to show that the binding vertex buffer rate is an even bigger pain point with 0.4x the competition. These deficiencies do not show in every workload but do help explain some of the perceived inconsistencies experienced by end users.
好在现在至少有了过河时用来摸的石头。 |
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发表于 2022-10-7 11:44
