AMD Radeon RX 7600M

AMD Radeon RX 7600M

About GPU

The AMD Radeon RX 7600M is a powerful mobile GPU that offers impressive performance for gaming and content creation on laptops. With a base clock of 1500MHz and a boost clock of 2410MHz, this GPU is capable of handling demanding tasks with ease. The 8GB GDDR6 memory allows for smooth multitasking and seamless gameplay, while the 2000MHz memory clock ensures fast data access. With 1792 shading units and 2MB of L2 cache, the Radeon RX 7600M delivers stunning graphics and high frame rates in modern games. The 17.27 TFLOPS theoretical performance showcases the GPU's ability to handle complex calculations and graphics-intensive workloads. One of the standout features of the Radeon RX 7600M is its efficiency, with a TDP of 90W. This allows for strong performance without excessive power consumption, making it an ideal choice for gaming laptops. In terms of real-world performance, the Radeon RX 7600M excels in delivering smooth and immersive gaming experiences at high settings. It also performs well in creative applications such as video editing and 3D rendering, thanks to its impressive compute power. Overall, the AMD Radeon RX 7600M is a top-tier mobile GPU that offers exceptional performance, efficiency, and versatility for gaming and content creation on laptops. Its robust specs and cutting-edge technology make it a compelling choice for users who demand high performance from their mobile computing devices.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
January 2023
Model Name
Radeon RX 7600M
Generation
Navi Mobile
Base Clock
1500MHz
Boost Clock
2410MHz
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.
128bit
Memory Clock
2000MHz
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.
256.0 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.
154.2 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.
269.9 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.
34.55 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.
539.8 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.
17.615 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.
1792
L1 Cache
128 KB per Array
L2 Cache
2MB
TDP
90W
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
2.2

Benchmarks

FP32 (float)
Score
17.615 TFLOPS
Blender
Score
1312

Compared to Other GPU

FP32 (float) / TFLOPS
18.38 +4.3%
18.176 +3.2%
17.544 -0.4%
17.307 -1.7%
Blender
1320 +0.6%
1256 -4.3%