AMD Radeon RX 6700M vs AMD Radeon RX 7600
GPU Comparison Result
Below are the results of a comparison of AMD Radeon RX 6700M and AMD Radeon RX 7600 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 10GB (10GB vs 8GB)
- Higher Bandwidth: 320.0 GB/s (320.0 GB/s vs 288.0 GB/s)
- More Shading Units: 2304 (2304 vs 2048)
- Higher Boost Clock: 2655MHz (2400MHz vs 2655MHz)
- Newer Launch Date: May 2023 (May 2021 vs May 2023)
Basic
AMD
Label Name
AMD
May 2021
Launch Date
May 2023
Mobile
Platform
Desktop
Radeon RX 6700M
Model Name
Radeon RX 7600
Mobility Radeon
Generation
Navi III
1489MHz
Base Clock
1720MHz
2400MHz
Boost Clock
2655MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x8
17,200 million
Transistors
13,300 million
36
RT Cores
32
36
Compute Units
32
144
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
128
TSMC
Foundry
TSMC
7 nm
Process Size
6 nm
RDNA 2.0
Architecture
RDNA 3.0
Memory Specifications
10GB
Memory Size
8GB
GDDR6
Memory Type
GDDR6
160bit
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
2000MHz
Memory Clock
2250MHz
320.0 GB/s
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.
288.0 GB/s
Theoretical Performance
153.6 GPixel/s
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.
169.9 GPixel/s
345.6 GTexel/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.
339.8 GTexel/s
22.12 TFLOPS
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.
43.50 TFLOPS
691.2 GFLOPS
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.
679.7 GFLOPS
11.281
TFLOPS
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.
21.315
TFLOPS
Miscellaneous
2304
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
128 KB per Array
L1 Cache
128 KB per Array
3MB
L2 Cache
2MB
135W
TDP
165W
1.3
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
2.1
OpenCL Version
2.2
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
1x 8-pin
64
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
6.5
Shader Model
6.7
-
Suggested PSU
450W
Benchmarks
Shadow of the Tomb Raider 2160p
/ fps
Radeon RX 6700M
34
Radeon RX 7600
41
+21%
Shadow of the Tomb Raider 1440p
/ fps
Radeon RX 6700M
67
Radeon RX 7600
88
+31%
Shadow of the Tomb Raider 1080p
/ fps
Radeon RX 6700M
113
Radeon RX 7600
163
+44%
GTA 5 2160p
/ fps
Radeon RX 6700M
55
Radeon RX 7600
80
+45%
GTA 5 1440p
/ fps
Radeon RX 6700M
59
Radeon RX 7600
80
+36%
GTA 5 1080p
/ fps
Radeon RX 6700M
143
Radeon RX 7600
194
+36%
FP32 (float)
/ TFLOPS
Radeon RX 6700M
11.281
Radeon RX 7600
21.315
+89%
3DMark Time Spy
Radeon RX 6700M
9718
Radeon RX 7600
10694
+10%
Vulkan
Radeon RX 6700M
79612
Radeon RX 7600
91662
+15%
OpenCL
Radeon RX 6700M
77001
Radeon RX 7600
82889
+8%
