AMD ROG Ally Extreme GPU vs NVIDIA GeForce GTX 760 OEM
GPU Comparison Result
Below are the results of a comparison of AMD ROG Ally Extreme GPU and NVIDIA GeForce GTX 760 OEM video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2700MHz (2700MHz vs 1046MHz)
- Larger Memory Size: 16GB (16GB vs 2GB)
- Newer Launch Date: June 2023 (June 2023 vs November 2016)
- Higher Bandwidth: 211.2 GB/s (51.20 GB/s vs 211.2 GB/s)
- More Shading Units: 1344 (768 vs 1344)
Basic
AMD
Label Name
NVIDIA
June 2023
Launch Date
November 2016
Game console
Platform
Desktop
ROG Ally Extreme GPU
Model Name
GeForce GTX 760 OEM
Console GPU
Generation
GeForce 700
1500MHz
Base Clock
993MHz
2700MHz
Boost Clock
1046MHz
-
Bus Interface
PCIe 3.0 x16
25,390 million
Transistors
3,540 million
12
RT Cores
-
12
Compute Units
-
48
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.
112
TSMC
Foundry
TSMC
4 nm
Process Size
28 nm
RDNA 3.0
Architecture
Kepler
Memory Specifications
16GB
Memory Size
2GB
LPDDR5
Memory Type
GDDR5
64bit
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
1600MHz
Memory Clock
1650MHz
51.20 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.
211.2 GB/s
Theoretical Performance
86.40 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.
29.29 GPixel/s
129.6 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.
117.2 GTexel/s
16.59 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.
-
518.4 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.
117.2 GFLOPS
8.46
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.
2.868
TFLOPS
Miscellaneous
768
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.
1344
128 KB per Array
L1 Cache
16 KB (per SMX)
8MB
L2 Cache
512KB
30W
TDP
170W
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.
1.1
2.1
OpenCL Version
3.0
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 (11_0)
-
CUDA
3.0
None
Power Connectors
2x 6-pin
32
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.
32
6.7
Shader Model
5.1
-
Suggested PSU
450W
Benchmarks
FP32 (float)
/ TFLOPS
ROG Ally Extreme GPU
8.46
+195%
GeForce GTX 760 OEM
2.868