#GTX 1060 OPENCL BENCHMARK SOFTWARE#
Most of the time, it's software optimization that decides who wins. To make sure the results accurately reflect the average performance of each GPU, the chart only includes GPUs with at least five unique results in the Geekbench Browser.
The data on this chart is calculated from Geekbench 5 results users have uploaded to the Geekbench Browser. There isn't a silver bullet in synthetic benchmarks that can tell you how something will perform across every workflow. Welcome to the Geekbench OpenCL Benchmark Chart. Not because he could move the pencil faster, nor because he had more pencil traces than you, just because you two will use different algorithms to do the same task: aka drawing a car in the same amount of time.ĭifferent workloads require different optimizations hardware level (micro architecture) so even if they have the same compute power, their DX11 performance is miles away different. Will you end with the same result even with same materials and amount of pencil traces to use in a particular time? Then i give the same brand and model of paper and pencil to a car designer with awesome drawing skills. (Im assuming you are bad at drawing, so bare with me). Imagine i give you a pencil and a white paper. So, they should perform the same, right?. This number is an average (the "per second" part is key ) of instructions in a period of time (one second). So, in your mini chart 4 can do the same amount of FLOPS (5.800.000.000.000). Let's start with basics: FLOP = Floating point operation per second. Is this simply a result of the way the gpus are built? Is this a bit like AMD's ghz vs Intels ghz in CPUs? I understand there are differences revolving around CUDA cores and OpenCL with specific scientific applications regarding Nvidia compatability but Gosh darn the difference is staggering if these numbers equate to scientific performance.Īnyone care to explain or help me understand? I don't quite understand how this difference is garnered. Now I recognize that AMD is typically touted as inexpensive but only at a slight sacrifice in the gaming world (typically, not that it's true). The radeon rx 480 has 5.8 tflops floating point performance.
I was about to buy a 1050 ti and then saw in the hot deals section a great rx480 deal, I figured I would check it out. I use graphics cards for scientific applications that are typically benchmarked in fps vs gflops. I'm a robotics guy and follow the technology scene.
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