NVIDIA GeForce RTX 3060 Max Q
About GPU
The NVIDIA GeForce RTX 3060 Max Q GPU is a powerful and efficient mobile graphics card that delivers impressive performance for gaming and content creation. With a base clock of 817MHz and a boost clock of 1282MHz, this GPU can handle demanding tasks with ease while maintaining reasonable power consumption.
The 6GB of GDDR6 memory and a memory clock of 1500MHz provide ample resources for high-resolution gaming and multitasking. The 3840 shading units and 3MB of L2 cache ensure fast and smooth graphics rendering, while the low TDP of 60W makes it suitable for thin and light laptops without sacrificing performance.
In terms of performance, the GeForce RTX 3060 Max Q offers a theoretical performance of 9.846 TFLOPS, making it more than capable of handling modern games at high settings and supporting content creation applications such as video editing and 3D rendering.
The RTX 3060 Max Q also supports real-time ray tracing and AI-enhanced graphics, providing a more immersive and lifelike gaming experience. The inclusion of DLSS (Deep Learning Super Sampling) technology further enhances performance by leveraging AI to upscale graphics without compromising on image quality.
Overall, the NVIDIA GeForce RTX 3060 Max Q GPU is a compelling choice for gamers and creators looking for a balance of performance, efficiency, and cutting-edge features in a mobile form factor. Its impressive specs and features make it a top contender in the mobile GPU market.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2021
Model Name
GeForce RTX 3060 Max Q
Generation
GeForce 30 Mobile
Base Clock
817MHz
Boost Clock
1282MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
6GB
Memory Type
GDDR6
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
192bit
Memory Clock
1500MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
288.0 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
61.54 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
153.8 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
9.846 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
153.8 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
10.043
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
30
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
3840
L1 Cache
128 KB (per SM)
L2 Cache
3MB
TDP
60W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
10.043
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS