ASUS TUF-RTX5080-O16G-GAMING GeForce RTX 5080 16GB GDDR7 graphics card
- PCIe 5.0
- NVIDIA
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A 3 GB GDDR5 graphics card with 2304 CUDA cores, 384-bit memory bus and a 993 MHz base clock rising to 1046 MHz boost
The EVGA Classified ACX card delivers 2304 CUDA cores and 3072MB of GDDR5 memory on a 384-bit interface. It connects through PCI Express 3.0 and supports Microsoft DirectX 12 at feature level 11_0. The base clock runs at 993 MHz with a boost to 1046 MHz. This model is built for enthusiasts who want factory overclocking headroom and G-SYNC compatibility.
Gamers targeting 1080p at high frame rates or 1440p at medium settings will find the 3GB frame buffer adequate for many titles. SLI support allows a second card for additional throughput where profiles exist. Users needing 4K performance, modern ray-traced titles or more than 3GB VRAM should consider newer architectures.
The 3072MB GDDR5 pool at 6008 MHz effective provides comfortable headroom for 1080p ultra texture packs and 1440p medium presets. At 4K or with heavy texture mods the 3GB limit becomes a bottleneck, forcing texture streaming or reduced quality. The 384-bit bus helps sustain bandwidth but cannot overcome the capacity ceiling.
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| Memory | |
|---|---|
| Type of memory | GDDR5 |
| Graphics | |
| CUDA core count | 2304 |
| Chipset maker | NVIDIA |
| Graphics series | NVIDIA GeForce GTX 700 Series |
| Effective memory speed | 6008 MHz |
| Memory bus width | 384-Bit |
| OpenGL support | 4.3 |
| Ports & slots | |
| HDMI ports | 1 x HDMI |
The GTX 780 Classified ACX requires both a 6-pin and an 8-pin PCIe power connector from your power supply to deliver its 993 MHz base clock and 1046 MHz boost clock.
Yes, the card is PCI Express 3.0 compliant and will operate in a PCI Express 2.0 slot at 2.0 speeds without affecting the 384-bit memory interface or 6008 MHz effective memory clock.
Use EVGA Precision X or GPU-Z to monitor the core clock in real time; it should reach 1046 MHz under 3D load while the 2304 CUDA cores process DirectX 12 feature level 11_0 workloads.
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