Apple M3 GPU 10-Core


Apple M3 GPU 10-Core on Amazon USA


Specifications and performance with the benchmarks of the Apple M3 GPU 10-Core graphics card dedicated to the laptop sector, it has 160 execution units, with 1280 shading units, its maximum frequency is 1.5GHz The table below makes it possible to observe well the lithography, the number of transistors (if present), the offered cache memory, the quantity of texture mapping units, of render output units, the release date, the GFLOPS performance, the values obtained in the benchmark platforms.







Specifications:


Graphics card Apple M3 GPU 10-Core
Market (main) Laptop
Release date Q4 2023
Model number M3 GPU 10-Core,
M3 GPU 160EU
GPU name Apple Custom GPU
Lithography 3 nm N3E
Transistors 25,000,000,000
Bus interface IGP
GPU clock 1,500 MHz
Memory frequency 3,200 MHz
Memory type LPDDR5-6400
Memory bus 128 bit
Memory bandwidth 102.4 GB/s
TDP 25 W
Outputs

1x HDMI
2x USB Type-C
2x Thunderbolt
Max display resolution

6016 x 3384@60Hz (Thunderbolt),
5120 x 2880@60Hz (Thunderbolt),
3840 x 2160@60Hz (HDMI)
Video decoding H.264, HEVC 4K
Video encoding H.264, HEVC
Cores (compute units, SM, SMX) 10
Execution units 160
Shading units 1,280
TMUs 80
ROPs 40
Performance FP16 (half) 4.3 TFLOPS
Amazon
eBay




Price: For technical reasons, we cannot currently display a price less than 24 hours, or a real-time price. This is why we prefer for the moment not to show a price. You should refer to the respective online stores for the latest price, as well as availability.

TMUs: texture mapping units. This unit was a physical processor separated from the main graphics processing units. It is able to distort a bitmap image, and also to resize it, to rotate it and to place it as a texture onto a plane of a specific 3D model.

ROPs: render output units. The other name of this unit is raster operations pipeline. This hadware component is taking pixel and texel information, and processing it through vector and matrix operations. The result will be a depth value or a final pixel. It is able to control antialiasing with the merge of several sample into one pixel.



Performance with the benchmarks:


Performance comparison between this graphics card and those of equivalent power, for this we consider the results generated on benchmark softwares and rendering performances.


FP16 performance comparison (half precision; float; floating-point 16) for this graphics card:


FP16 Performance in GFLOPS
Apple M3 Max GPU 40-Core 17,040
Apple M3 Max GPU 30-Core 12,780
Apple M3 Pro GPU 18-Core 7,670
Apple M3 Pro GPU 14-Core 5,960
Apple M3 GPU 10-Core 4,260
AMD Radeon Vega 8 Mobile 4,096
AMD Radeon RX Vega M GH 3,656
AMD Radeon RX Vega 8 3,584
AMD Radeon Vega 10 3,584



The power in FP16, i.e. in a half-precision floating point format, makes it possible to evaluate the ability of the graphics card to manipulate useful data for example in computer applications, such as deep learning with neural networks. These applications use numeric values that have less precision, and therefore require less memory, compared to values with single or double precision formats.



List of comparisons:

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List of benchmarks:

There is a lack of data among the results in the various benchmark applications. Please come back later.



Processors with the graphics card Apple M3 GPU 10-Core:

Apple M3

Equivalence:

Apple M3 GPU 10-Core Nvidia EquivalentApple M3 GPU 10-Core AMD Equivalent




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