ASUS Turbo-RTX2060-6G Compute Related Benchmarks
We have also added several new benchmarks which we ran for all of our cards, except for the ASUS Turbo-RTX2080-8G Blower and NVIDIA RTX2080 Ti which we no longer have access to. We will add additional Deep Learning benchmarks in an upcoming review so stay tuned. For now, let us take a look at our compute-focused workloads.
Geekbench 4
Geekbench 4 measures the compute performance of your GPU using image processing to computer vision to number crunching.
Our first compute benchmark, Geekbench, we see the ASUS Turbo-RTX2060-6G providing a solid showing in both CUDA and OpenCL results. The CUDA results are above the NVIDIA GTX 1080 Ti which is impressive given market segmentation of each generation.
LuxMark
LuxMark is an OpenCL benchmark tool based on LuxRender.
Here we again see performance above that of the GTX 1080 Ti. There is also a fairly large delta between this card and the NVIDIA RTX 2070.
AIDA64 GPGPU
These benchmarks are designed to measure GPGPU computing performance via different OpenCL workloads.
- Single-Precision FLOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as FLOPS (Floating-Point Operations Per Second), with single-precision (32-bit, “float”) floating-point data.
- Double-Precision FLOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as FLOPS (Floating-Point Operations Per Second), with double-precision (64-bit, “double”) floating-point data.
Here you can see the NVIDIA RTX 2060 is well below some of the other offerings on the list. Something like the RTX 2080 Ti offers more than twice the performance per PCIe slot, albeit with a higher price tag.
The next set of benchmarks from AIDA64 measure integer operation speed:
- 24-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 24-bit integer (“int24”) data. This particular data type defined in OpenCL on the basis that many GPUs are capable of executing int24 operations via their floating-point units.
- 32-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 32-bit integer (“int”) data.
- 64-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 64-bit integer (“long”) data. Most GPUs do not have dedicated execution resources for 64-bit integer operations, so instead, they emulate the 64-bit integer operations via existing 32-bit integer execution units.
This again shows some of the improvements of Turing over Pascal with significantly higher integer performance for the newer cards.
SPECviewperf 13
SPECviewperf 13 measures the 3D graphics performance of systems running under the OpenGL and Direct X application programming interfaces.
Here again, we can see a relatively tight stacking between the ASUS Turbo-RTX2060-6G GPU and the higher-end RTX 2070 offering. There is a bigger delta between the RTX 2070 and RTX 2080 than there is between the ASUS Turbo-RTX2060-6G and RTX 2070.
SPECworkstation 3
SPECviewperf 13 measures the 3D graphics performance of systems running under the OpenGL and Direct X application programming interfaces.
Surprisingly we saw results very close to the Zotac RTX 2070 blower card and even the ASUS Turbo-RTX2080-8G here.
Let us move on and start our new tests with rendering-related benchmarks.
