Explore the complete details of Quadro RTX 3000 Max-Q, including specs, performance benchmarks
The Quadro RTX 3000 Max-Q GPU by NVIDIA. features a Turing (2018−2022) architecture. with 2304 CUDA cores. and a boost clock of 1215 MHz MHz. It offers GDDR6 memory with 6 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 448.0 GB/s GB/s. With a power consumption (TDP) of 60W.
Basic details about the Quadro RTX 3000 Max-Q, including manufacturer, ranking, and release date.
Title | Quadro RTX 3000 Max-Q |
---|---|
Manufacturer | NVIDIA |
Ranking | 274 |
Popularity Rank | not in top-100 |
Architecture | Turing (2018−2022) |
GPU code name | TU106 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 27 May 2019 |
Details on clock speeds, cores, and floating-point processing power of Quadro RTX 3000 Max-Q.
Core Clock Speed | 600 MHz |
---|---|
Boost Clock Speed | 1215 MHz |
Floating Point Processing Power | 5.599 TFLOPS |
No of Transistors | 10,800 million |
CUDA Cores | 2304 |
Ray Tracing Cores | 36 |
Tensor Cores | 288 |
Texture Fill Rate | 175.0 |
ROPs | 64 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 144 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 6 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 1750 MHz |
Memory Bandwidth | 448.0 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 60 W |
---|---|
Power Efficiency | 24.08 |
Manufacturing Process | 12 nm |
Supplementary Power Connectors | None |
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.