NVIDIA GeForce RTX 3070 Ti Max Q
About GPU
The NVIDIA GeForce RTX 3070 Ti Max Q GPU is a top-of-the-line mobile graphics processing unit that delivers exceptional performance for gaming, content creation, and more. With a base clock of 510MHz and a boost clock of 1035MHz, this GPU offers impressive speeds to handle demanding graphics-intensive tasks.
One of the standout features of the RTX 3070 Ti Max Q is its 8GB of GDDR6 memory, which enables smooth and seamless gameplay, as well as fast rendering for creative projects. The memory clock of 1500MHz ensures that data can be accessed and utilized quickly, enhancing overall performance.
With 5888 shading units and 4MB of L2 cache, this GPU is capable of handling complex visual effects and high-resolution textures with ease. Additionally, the TDP of 80W strikes a good balance between power efficiency and performance, making it suitable for a wide range of laptops and mobile devices.
The theoretical performance of 12.19 TFLOPS further demonstrates the raw power of the RTX 3070 Ti Max Q, allowing users to tackle demanding workloads without compromise.
Overall, the NVIDIA GeForce RTX 3070 Ti Max Q GPU is a powerhouse in the mobile graphics market, offering top-tier performance, efficiency, and features that make it ideal for gamers and content creators who require the best in graphics technology for their portable devices.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2022
Model Name
GeForce RTX 3070 Ti Max Q
Generation
GeForce 30 Mobile
Base Clock
510MHz
Boost Clock
1035MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
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.
256bit
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.
384.0 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.
99.36 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.
190.4 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.
12.19 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.
190.4 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.
11.946
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.
46
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.
5888
L1 Cache
128 KB (per SM)
L2 Cache
4MB
TDP
80W
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
11.946
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS