Explore the complete details of GeForce RTX 2060, including specs, performance benchmarks
The GeForce RTX 2060 GPU by NVIDIA. features a Turing (2018−2022) architecture. with 1920 CUDA cores. and a boost clock of 1680 MHz MHz. It offers GDDR6 memory with 6 GB GB capacity and a 192 Bit-bit interface. delivering a bandwidth of 336.0 GB/s GB/s. With a power consumption (TDP) of 160W.
Basic details about the GeForce RTX 2060, including manufacturer, ranking, and release date.
Title | GeForce RTX 2060 |
---|---|
Manufacturer | NVIDIA |
Ranking | 142 |
Popularity Rank | 19 |
Architecture | Turing (2018−2022) |
GPU code name | TU106 |
Market Segmente | Desktop |
Length - Width | 229 mm - 2-slot |
Release Date | 7 January 2019 |
Details on clock speeds, cores, and floating-point processing power of GeForce RTX 2060.
Core Clock Speed | 1365 MHz |
---|---|
Boost Clock Speed | 1680 MHz |
Floating Point Processing Power | 6.451 TFLOPS |
No of Transistors | 10,800 million |
CUDA Cores | 1920 |
Ray Tracing Cores | 30 |
Tensor Cores | 240 |
Texture Fill Rate | 201.6 |
ROPs | 48 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
Display Connectors | 1x DVI, 1x HDMI, 2x 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 | 120 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 6 GB |
Memory Bus Width | 192 Bit |
Memory Clock Speed | 1750 MHz |
Memory Bandwidth | 336.0 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 160 W |
---|---|
Power Efficiency | 15.63 |
Manufacturing Process | 12 nm |
Supplementary Power Connectors | 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.