Gigabyte GeForce GTX 1650 Compute Related Benchmarks
We are going to run the Gigabyte GeForce GTX 1650 OC through some benchmarks to see if the removal of RTX features and some compute capacity hurts the card significantly. On the other hand, it carries a lower price than the lowest-end “RTX” card we have reviewed, the ASUS Turbo-RTX2060-6G. If it is close to the same compute performance, it may be a better value.
As we continue to keep our graphics card benchmarks updated we have added the AMD Radeon Vega Frontier Edition results to several charts. We have our GeForce GTX 1660 review coming, but this is getting published just before that review. In addition, we added a new benchmark called hashcat64 to test password cracking performance, another common application for GPUs.
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 Gigabyte GeForce GTX 1650 OC comes in below the older GTX 1080 series. As an entry-level GPU, the Gigabyte GeForce GTX 1650 OC places about where we would expect.
LuxMark is an OpenCL benchmark tool based on LuxRender.
Here we again see lower-level Gigabyte GTX 1650 OC results with the card at the bottom of our list which we expected for a GPU in this class. Again, this is the least expensive GPU on the chart by a large margin so we expect we will see results similar to this in the up and coming benchmarks.
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 in the single precision results, we see performance just above the NVIDIA Quadro K5200 which was a higher power, higher cost card five years ago.
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.
As one may expect, the Gigabyte GeForce GTX 1650 OC was at the lower end. We were surprised to see it just barely faster than the GeForce GTX 1080.
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 chart. Users who are interested in hashcat can find the download here.
The NVIDIA GeForce GTX 1650 OC is not a strong contender for hashcat and ranks noticeably below the GTX 1660 Ti.
SPECviewperf 13 measures the 3D graphics performance of systems running under the OpenGL and Direct X application programming interfaces.
Again, the NVIDIA GeForce GTX 1650 is a lower-end and lower-cost part. If you want more performance, it simply costs more. Here, the energy-02 benchmark was lower than we would have expected given our other results. In that test, the NVIDIA GeForce GTX 1660 Ti offers more than 3x the performance.
SPECworkstation3 measures the 3D graphics performance of systems running under the OpenGL and DirectX application programming interfaces.
This type of chart is becoming fairly standard for this exercise.
Let us move on and start with our rendering-related benchmarks.