AMD Radeon HD 6970M Rebrand
About GPU
The AMD Radeon HD 6970M Rebrand is a powerful and capable mobile GPU that delivers impressive performance for gaming and other graphics-intensive tasks. With a memory size of 1024MB and GDDR5 memory type, it has the capacity and speed to handle demanding applications with ease. The memory clock of 1000MHz ensures smooth and responsive performance, even when running multiple programs or high-resolution graphics.
With 800 shading units and a 256KB L2 cache, the Radeon HD 6970M Rebrand is able to handle complex shading and rendering tasks with efficiency and accuracy. This GPU has a TDP of 75W, making it suitable for use in a wide range of laptops and mobile devices without excessively draining the battery.
In terms of performance, the Radeon HD 6970M Rebrand boasts a theoretical performance of 1.28 TFLOPS, making it more than capable of handling modern games and demanding applications at high settings. It offers a smooth and immersive gaming experience, with crisp visuals and fast frame rates.
Overall, the AMD Radeon HD 6970M Rebrand is a solid choice for anyone in need of a high-performance mobile GPU. Whether for gaming, content creation, or other graphics-heavy tasks, this GPU delivers the power and reliability necessary to get the job done. Its combination of memory size, memory type, and overall performance make it a standout option for anyone in need of a capable mobile graphics solution.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
January 2011
Model Name
Radeon HD 6970M Rebrand
Generation
Vancouver
Bus Interface
MXM-B (3.0)
Memory Specifications
Memory Size
1024MB
Memory Type
GDDR5
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.
128bit
Memory Clock
1000MHz
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.
64.00 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.
12.80 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.
32.00 GTexel/s
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.
1.254
TFLOPS
Miscellaneous
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.
800
L1 Cache
8 KB (per CU)
L2 Cache
256KB
TDP
75W
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.
N/A
OpenCL Version
1.2
Benchmarks
FP32 (float)
Score
1.254
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS