Explore the complete details of GeForce RTX 2080 Super, including specs, performance benchmarks
The GeForce RTX 2080 Super GPU by NVIDIA. features a Turing (2018−2022) architecture. with 3072 CUDA cores. and a boost clock of 1815 MHz MHz. It offers GDDR6 memory with 8 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 495.9 GB/s GB/s. With a power consumption (TDP) of 250W.
Basic details about the GeForce RTX 2080 Super, including manufacturer, ranking, and release date.
Title | GeForce RTX 2080 Super |
---|---|
Manufacturer | NVIDIA |
Ranking | 67 |
Popularity Rank | not in top-100 |
Architecture | Turing (2018−2022) |
GPU code name | TU104 |
Market Segmente | Desktop |
Length - Width | 267 mm - 2-slot |
Release Date | 23 July 2019 |
Details on clock speeds, cores, and floating-point processing power of GeForce RTX 2080 Super.
Core Clock Speed | 1650 MHz |
---|---|
Boost Clock Speed | 1815 MHz |
Floating Point Processing Power | 11.15 TFLOPS |
No of Transistors | 13,600 million |
CUDA Cores | 3072 |
Ray Tracing Cores | 48 |
Tensor Cores | 384 |
Texture Fill Rate | 348.5 |
ROPs | 64 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
Display Connectors | 1x HDMI, 3x DisplayPort, 1x USB Type-C |
HDMI | 1 |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 192 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 8 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 1937 MHz |
Memory Bandwidth | 495.9 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 250 W |
---|---|
Power Efficiency | 13.83 |
Manufacturing Process | 12 nm |
Supplementary Power Connectors | 1x 6-pin + 1x 8-pin |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.