AMD FirePro W7170M
About GPU
The AMD FirePro W7170M is a powerful mobile GPU featuring 4GB of GDDR5 memory and a memory clock speed of 1250MHz. With 2048 shading units and 512KB of L2 cache, this GPU delivers impressive performance for professional workloads.
The FirePro W7170M's TDP of 100W makes it suitable for mobile workstations, offering a good balance between power consumption and performance. With a theoretical performance of 2.961 TFLOPS, this GPU is well-equipped to handle demanding tasks such as 3D rendering, CAD design, and video editing.
One of the standout features of the FirePro W7170M is its support for professional graphics drivers, which are optimized for stability and compatibility with industry-leading software applications. This makes it an excellent choice for professional users who rely on specialized applications for their work.
In real-world use, the FirePro W7170M delivers smooth performance and reliable stability, allowing users to tackle complex projects with confidence. Its 4GB of memory ensures that it can handle large datasets and high-resolution textures without bottlenecking performance.
Overall, the AMD FirePro W7170M is a solid choice for professionals in need of a high-performance mobile GPU. Its combination of strong specs, professional graphics driver support, and efficient power usage make it a compelling option for mobile workstations. Whether you're working on complex 3D models or editing high-resolution video, the FirePro W7170M is up to the task.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2015
Model Name
FirePro W7170M
Generation
FirePro Mobile
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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.
256bit
Memory Clock
1250MHz
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.
160.0 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.
23.14 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.
92.54 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.
2.961 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.
185.1 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.
3.02
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
100W
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.
1.2
OpenCL Version
2.0
Benchmarks
FP32 (float)
Score
3.02
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS