NVIDIA GeForce RTX 3070 Max Q
About GPU
The NVIDIA GeForce RTX 3070 Max Q GPU is a powerful option for those looking for high-performance graphics in a mobile platform. With a base clock of 780MHz and a boost clock of 1290MHz, this GPU is capable of delivering fast and smooth frame rates in a variety of gaming and professional applications. The 8GB of GDDR6 memory and a memory clock of 1500MHz ensure ample memory bandwidth for handling even the most demanding tasks.
With 5120 shading units and 4MB of L2 cache, the RTX 3070 Max Q offers impressive processing power for rendering complex scenes and handling large datasets. The 80W TDP strikes a solid balance between performance and power efficiency, making it suitable for thin and light gaming laptops and professional workstations alike.
The theoretical performance of 13.21 TFLOPS showcases the GPU's ability to handle real-time ray tracing, AI-powered features, and high-resolution gaming with ease. The RTX 3070 Max Q is a great choice for gamers, content creators, and professionals who require a capable and efficient GPU solution for their on-the-go needs.
Overall, the NVIDIA GeForce RTX 3070 Max Q GPU offers impressive performance, power efficiency, and features in a mobile-friendly package. Whether you're gaming, creating content, or working on professional projects, this GPU has the hardware to deliver a smooth and responsive experience.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2021
Model Name
GeForce RTX 3070 Max Q
Generation
GeForce 30 Mobile
Base Clock
780MHz
Boost Clock
1290MHz
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.
103.2 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.
206.4 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.
13.21 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.
206.4 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.
12.946
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.
40
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.
5120
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
12.946
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS