Alphacool Eisblock GPX Aurora RTX 3080/3090 Reference Review 4

Alphacool Eisblock GPX Aurora RTX 3080/3090 Reference Review

Value & Conclusion »

Thermal Performance

Test System

Test System
Processor:Intel Core i9-9900K @ 3.7 GHz base / 5.0 GHz OC
Motherboard:MSI MEG Z390 ACE
Provided by: MSI
Memory:2x 16 GB G.SKILL Trident Z Neo DDR4@ 3600 MHz 18-22-22-42
Provided by: G.SKILL
Video Card:Palit GeForce RTX 3080 Gaming Pro OC
Storage:Samsung 980 Pro 1 TB SSD
Power Supply:EVGA SuperNova 750G2
Case:Custom test bench
Operating System:Windows 10 64-bit
TIM:Noctua NT-H1
Provided by: Noctua

Test Methodology

The previously used CORSAIR Hydro XD5 pump/reservoir combo, an Aquaero 6 XT controller, and a Black Ice Nemesis GTX 480 radiator with CORSAIR ML120 PRO RGB fans complete the loop. The CPU is not placed in the loop to make the only source of heat the GPU and, thus, the GPU block itself. Average flow rate is set to 1 GPM, and calibrated in-line temperature sensors are used to measure the coolant's temperature.

Testing a block for thermal performance is fairly simple once you realize that you have to measure VRM and VRAM temperatures manually. As such, I installed an Omega NTC type thermistor on NVDD #1, another on the bottom VRAM module, and connected both to an external display for a VRM temperature readout. TechPowerUp GPU-Z was used to monitor GPU core temperatures. The GPU was overclocked to 2.1 GHz, although with how GPU Boost works these days with power limits more than anything else, it did vary slightly. Similarly, with core voltage being nearly impossible to set manually and fix at that point, it is best to compare the results below within the data set, not to other reviews elsewhere.

Everything required was placed inside a hotbox, and the ambient temperature was set to 25 °C. Noctua NT-H1 was used as the thermal paste of choice because not every block comes with TIM, and cure time was taken into consideration. Three separate mounts/runs were done for statistical accuracy and to remove chances of mounting-related anomalies. For each run, a 60 minute loop of 3DMark Time Spy Extreme was done, and temperatures were monitored until a steady state was reached, after which they were recorded. A delta T of GPU core/VRM and loop temperatures was thus calculated for each run, and the average delta T was then obtained across all three runs. This way, the cooling solution is taken out of the picture.

Test Results


As mentioned on the previous page, I chose to test everything with the backplate in place since the majority of blocks I got in the first round include backplates in the box. This keeps things simple and avoids a bunch of very similar entries from only a few companies. Pretty much everything sans the active backplate are all close to each other, but unfortunately, the Alphacool blocks tested worse than the EK and CORSAIR blocks across the board. Perhaps it is the modular cold plate concept, perhaps just the fit on my specific PCB, but at this time, the two defer to the rest. I suppose it is a good thing that the two are basically identical in performance, meaning there is no difference in the different top and coolant flow layout employed between them.

I also made the tough call of removing the performance-per-dollar chart this time around because prices are so different in different regions. There is no single consistent trend even when going from EU to US or UK pricing, and active backplates make it worse. I will address this by instead discussing pricing more in the conclusion, which we get to now.
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Dec 23rd, 2024 03:09 EST change timezone

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