PNY RTX 2080 Ti Blower Compute Related Benchmarks
We are going to compare the PNY GeForce RTX 2080 Ti Blower to our growing data set.
Geekbench 4
Geekbench 4 measures the compute performance of your GPU using image processing to computer vision to number crunching.
Our first compute benchmark; we see the PNY RTX 2080 Ti Blower achieves results close to the other two RTX 2080 Ti cards. We will see this difference in other benchmarks also.
LuxMark
LuxMark is an OpenCL benchmark tool based on LuxRender.
Like our Geekbench results, we find a slight difference between the PNY RTX 2080 Ti Blower and the dual-fan RTX 2080 Ti. The single fan blower cooler starts to show its limits with LuxMark but this is still a very small percentage delta.
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.
The next set of benchmarks from AIDA64 are:
- 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.
The take away here is the PNY RTX 2080 Ti Blower, although optimized for the blower-style cooler, still shows a massive gap between it and the NVIDIA GeForce RTX 2080 Super.
hashcat64
hashcat64 is a password cracking benchmarks that can run an impressive number of different algorithms. We used the windows version and a simple command of hashcat64 -b. Out of these results, we used five results to the graph in our charts. Users who are interested in hashcat can find the download here.
Hashcat can out a heavy load on GPUs, and here we see the dual-fan graphics cards have the edge in our results.
SPECviewperf 13
SPECviewperf 13 measures the 3D graphics performance of systems running under the OpenGL and Direct X application programming interfaces.
In SPECviewperf, the PNY RTX 2080 Ti Blower largely falls into the middle of the RTX 2080 Ti pack. The deltas due to clock speed differences are often small enough where the differences are plus or minus a few percents.
Let us move on and start our new tests with rendering-related benchmarks.
I wouldn’t touch anything from PNY with a 10 foot pole. Everything I’ve bought from them has died prematurely.
We rack 8 of the Supermicro 10 GPU servers adding about 3 racks a quarter. That isn’t much, but it’s 240 + 4 spare GPUs per quarter. We’ve been doing them since the 1080 Ti days. Our server reseller gets us good deals on other brands but says PNY doesn’t want the business as much so we get other brands.
I’m gonna be honest here. That cooler looks like they’re just using something cheap. I’d like to see PNY actually design a nice cooler like the old NVIDIA FE cards had with vapor chamber and a metal housing. Maybe if they’d do that they could keep clock speeds higher or even push them and have a better solution for dense compute like you’re saying.
If they’re not doing that, then its too easy to buy Zotac for GPU server and workstation
The octane benchmark is probably using a scene that doesn’t fit in 11GB of VRAM, hence the large difference between high VRAM cards. It doesn’t say much about the card’s actual performance since it is heavily bottlenecked by out-of-core memory accessing.
@IndustrialAIAdmin What brands and models do you run in such environment?