Methodology: heat tests
Without application/computational tests, graphics card tests would be incomplete. Therefore, we will focus on this area outside of gaming that most hardware magazines neglect. We understand the reasons, there are several of them, but even so, it is possible with a little effort to make at least a few measurements. So hopefully they will also help multimedia creators in choosing the right graphics card.
Methodology: heat tests
We will also bring you heat tests, too. You are at HWCooling after all. However, in order to make it sensible at all to monitor temperatures on critical components not only of the graphics card, but anything in the computer, it is important to simulate a real computer case environment with healthy air circulation. The overall behavior of the graphics card as such then follows from this. In many cases, an open bench-table is inappropriate and results can be distorted. Therefore, during all, not only heat tests, but also measurement of consumption or course of graphics core frequencies, we use a wind tunnel with equilibrium flow.
Two Noctua NF-S12A fans are at the inlet and the same number is on the exhaust. When testing different system cooling configurations, this proved to be the most effective solution. The fans are always set to 5 V and the speed corresponds to approx. 550 rpm. The stability of the inlet air is properly controlled during the tests, the temperature being between 21 and 21.3 °C at a humidity of ±40%.
We read the heat from the internal sensors via GPU-Z. This small, single-purpose application also allows you to record samples from sensors in a table. From the table, it is then easy to create line graphs with waveforms or the average value into bar graphs. We will not use the thermal camera very much here, as most graphics cards have a backplate, which makes it impossible to measure the PCB heating. The key for the heating graphs will be the temperature reading by internal sensors, according to which, after all, the GPU frequency control also takes place. It will always be the heating of the graphics core, and if the sensors are also on VRAM and VRM, we will extract these values into the article as well.
- Contents
- Methodology: performance tests
- Methodology: how we measure power draw
- Methodology: noise and sound measurement
- Methodology: heat tests
- Test rig
- ComputeBench (OpenCL)
- ComputeBench (CUDA)
- SPECviewperf 2020 and SPECworkstation 3
- FLOPS, IOPS and memory speed tests
- 3D rendering 1/2 (LuxMark and Blender@Cycles)
- 3D rendering 2/2 (Blender@Radeon ProRender a Eevee)
- Photo editing
- Broadcasting
- Password cracking
- GPU clock speed
- GPU and VRAM heating
- Net graphics power draw
- Analysis of 12 V subcircuit power supply
- Analysis of 3.3 V subcircuit power supply
- Noise level
- Frequency response of sound
- Conclusion