Apple M3 Max (14-CPU 30-GPU) | Google Tensor G3 | |
CPU comparisonIn this CPU comparison, we compare the Apple M3 Max (14-CPU 30-GPU) and the Google Tensor G3 and use benchmarks to check which processor is faster.
We compare the Apple M3 Max (14-CPU 30-GPU) 14 core processor released in Q4/2023 with the Google Tensor G3 which has 8 CPU cores and was introduced in Q3/2023. |
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Apple M series (25) | Family | Google Tensor (3) |
Apple M3 (6) | CPU group | Google Tensor G3 (1) |
3 | Generation | 3 |
M3 | Architecture | G3 |
Mobile | Segment | Mobile |
Apple M2 Max (30-GPU) | Predecessor | Google Tensor |
-- | Successor | -- |
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CPU Cores and Base FrequencyThe Apple M3 Max (14-CPU 30-GPU) is a 14 core processor with a clock frequency of 0.70 GHz (4.06 GHz). The processor can compute 14 threads at the same time. The Google Tensor G3 clocks with 2.91 GHz, has 8 CPU cores and can calculate 8 threads in parallel. |
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Apple M3 Max (14-CPU 30-GPU) | Characteristic | Google Tensor G3 |
14 | Cores | 8 |
14 | Threads | 8 |
hybrid (big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
0.70 GHz (4.06 GHz) 10x P-Core |
A-Core | 2.91 GHz 1x Cortex-X3 |
0.74 GHz (2.75 GHz) 4x E-Core |
B-Core | 2.37 GHz 4x Cortex-A715 |
-- | C-Core | 1.70 GHz 4x Cortex-A510 |
Artificial Intelligence and Machine LearningProcessors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor. |
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Apple M3 Max (14-CPU 30-GPU) | Characteristic | Google Tensor G3 |
Apple Neural Engine | AI hardware | Google Tensor AI |
16 Neural cores @ 35 TOPS | AI specifications | Google Edge TPU |
Internal GraphicsGraphics (iGPU) integrated into the processor not only enable image output without having to rely on a dedicated graphics solution, but can also efficiently accelerate video playback. |
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Apple M3 Max (30 Core) | GPU | ARM Immortalis-G715 MP10 |
0.39 GHz | GPU frequency | 0.89 GHz |
1.40 GHz | GPU (Turbo) | -- |
-- | GPU Generation | Vallhall |
3 nm | Technology | 4 nm |
5 | Max. displays | 0 |
480 | Compute units | 10 |
3840 | Shader | -- |
Yes | Hardware Raytracing | No |
No | Frame Generation | No |
96 GB | Max. GPU Memory | -- |
-- | DirectX Version | 12 |
Hardware codec supportA photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos. |
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Apple M3 Max (30 Core) | GPU | ARM Immortalis-G715 MP10 |
Decode / Encode | Codec h265 / HEVC (8 bit) | Decode / Encode |
Decode / Encode | Codec h265 / HEVC (10 bit) | Decode / Encode |
Decode / Encode | Codec h264 | Decode / Encode |
Decode / Encode | Codec VP9 | Decode / Encode |
Decode | Codec VP8 | Decode / Encode |
Decode | Codec AV1 | Decode / Encode |
Decode | Codec AVC | Decode / Encode |
Decode | Codec VC-1 | Decode / Encode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeUp to 96 GB of memory in a maximum of 3 memory channels is supported by the Apple M3 Max (14-CPU 30-GPU), while the Google Tensor G3 supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled. |
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Apple M3 Max (14-CPU 30-GPU) | Characteristic | Google Tensor G3 |
LPDDR5-6400 | Memory | LPDDR5-5500 |
96 GB | Max. Memory | 12 GB |
3 | Memory channels | 2 (Dual Channel) |
307.2 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
36.00 MB | L2 Cache | -- |
-- | L3 Cache | -- |
4.0 | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe Apple M3 Max (14-CPU 30-GPU) has a TDP of 50 W. The TDP of the Google Tensor G3 is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution. |
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Apple M3 Max (14-CPU 30-GPU) | Characteristic | Google Tensor G3 |
50 W | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
100 °C | Tjunction max. | -- |
Technical detailsThe Apple M3 Max (14-CPU 30-GPU) has 36.00 MB cache and is manufactured in 3 nm. The cache of Google Tensor G3 is at 0.00 MB. The processor is manufactured in 4 nm. |
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Apple M3 Max (14-CPU 30-GPU) | Characteristic | Google Tensor G3 |
3 nm | Technology | 4 nm |
Chiplet | Chip design | Chiplet |
Armv8-A (64 bit) | Instruction set (ISA) | Armv9-A (64 bit) |
Rosetta 2 x86-Emulation | ISA extensions | -- |
-- | Socket | -- |
Apple Virtualization Framework | Virtualization | None |
Yes | AES-NI | No |
macOS, iPadOS | Operating systems | Android |
Q4/2023 | Release date | Q3/2023 |
-- | Release price | -- |
show more data | show more data | |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 4.06 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 3.60 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 4.06 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 3.60 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
Apple M3 Max (30 Core) @ 1.40 GHz |
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Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 4.06 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 4.06 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 4.06 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 3.60 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 0.70 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 0.70 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Apple M3 Max (14-CPU 30-GPU)
14C 14T @ 0.70 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
Devices using this processor |
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Apple M3 Max (14-CPU 30-GPU) | Google Tensor G3 |
Apple MacBook Pro 14 (2023) Apple MacBook Pro 16 (2023) |
Google Pixel 8 Google Pixel 8 Pro |