Apple M2 Max (38-GPU) vs Raspberry Pi 5 B (Broadcom BCM2712)
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CPU comparison with benchmarks
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| Apple M2 Max (38-GPU) | Raspberry Pi 5 B (Broadcom BCM2712) | |
CPU comparisonApple M2 Max (38-GPU) or Raspberry Pi 5 B (Broadcom BCM2712) - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.
The Apple M2 Max (38-GPU) has 12 cores with 12 threads and clocks with a maximum frequency of 3.50 GHz. Up to 96 GB of memory is supported in 4 memory channels. The Apple M2 Max (38-GPU) was released in Q1/2023. The Raspberry Pi 5 B (Broadcom BCM2712) has 4 cores with 4 threads and clocks with a maximum frequency of 2.40 GHz. The CPU supports up to 8 GB of memory in 1 memory channels. The Raspberry Pi 5 B (Broadcom BCM2712) was released in Q3/2023. |
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| Apple M series (25) | Family | Broadcom BCM (3) |
| Apple M2 (8) | CPU group | Broadcom BCM2712 (1) |
| 2 | Generation | 5 |
| M2 | Architecture | Cortex-A76 |
| Mobile | Segment | Desktop / Server |
| Apple M1 Max (32-GPU) | Predecessor | Raspberry Pi 4 B (Broadcom BCM2711) |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Apple M2 Max (38-GPU) is a 12 core processor with a clock frequency of 0.66 GHz (3.50 GHz). The Raspberry Pi 5 B (Broadcom BCM2712) has 4 CPU cores with a clock frequency of 1.00 GHz (2.40 GHz). |
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| Apple M2 Max (38-GPU) | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| 12 | Cores | 4 |
| 12 | Threads | 4 |
| hybrid (big.LITTLE) | Core architecture | normal |
| No | Hyperthreading | No |
| No | Overclocking ? | Yes |
| 0.66 GHz (3.50 GHz) 8x Avalanche |
A-Core | 1.00 GHz (2.40 GHz) 4x Cortex-A76 |
| 0.60 GHz (2.42 GHz) 4x Blizzard |
B-Core | -- |
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 M2 Max (38-GPU) | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| Apple Neural Engine | AI hardware | -- |
| 16 Neural cores @ 15.8 TOPS | AI specifications | -- |
Internal GraphicsThe integrated graphics unit of a processor is not only responsible for the pure image output on the system, but can also significantly increase the efficiency of the system with the support of modern video codecs. |
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| Apple M2 Max (38 Core) | GPU | Broadcom VideoCore VII |
| 0.45 GHz | GPU frequency | 0.80 GHz |
| 1.40 GHz | GPU (Turbo) | -- |
| 2 | GPU Generation | -- |
| 5 nm | Technology | 16 nm |
| 5 | Max. displays | 2 |
| 608 | Compute units | 8 |
| 4864 | Shader | 128 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 96 GB | Max. GPU Memory | 4 GB |
| -- | DirectX Version | -- |
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 M2 Max (38 Core) | GPU | Broadcom VideoCore VII |
| Decode / Encode | Codec h265 / HEVC (8 bit) | Decode |
| Decode / Encode | Codec h265 / HEVC (10 bit) | Decode |
| Decode / Encode | Codec h264 | Decode / Encode |
| Decode / Encode | Codec VP9 | Decode |
| Decode | Codec VP8 | Decode |
| No | Codec AV1 | No |
| Decode | Codec AVC | Decode |
| Decode | Codec VC-1 | Decode |
| Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Apple M2 Max (38-GPU) supports a maximum of 96 GB of memory in 4 memory channels. The Raspberry Pi 5 B (Broadcom BCM2712) can connect up to 8 GB of memory in 1 memory channels. |
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| Apple M2 Max (38-GPU) | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| LPDDR5-6400 | Memory | LPDDR4X-4266 |
| 96 GB | Max. Memory | 8 GB |
| 4 (Quad Channel) | Memory channels | 1 (Single Channel) |
| 409.6 GB/s | Max. Bandwidth | 17.1 GB/s |
| No | ECC | No |
| 36.00 MB | L2 Cache | 2.00 MB |
| -- | L3 Cache | 2.00 MB |
| 4.0 | PCIe version | 2.0 |
| 32 | PCIe lanes | 4 |
| 63.0 GB/s | PCIe Bandwidth | 2.0 GB/s |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Apple M2 Max (38-GPU) has a TDP of 40 W, that of the Raspberry Pi 5 B (Broadcom BCM2712) is 12 W. |
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| Apple M2 Max (38-GPU) | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| 40 W | TDP (PL1 / PBP) | 12 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| 100 °C | Tjunction max. | 88 °C |
Technical detailsThe Apple M2 Max (38-GPU) has a 36.00 MB cache, while the Raspberry Pi 5 B (Broadcom BCM2712) cache has a total of 4.00 MB. |
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| Apple M2 Max (38-GPU) | Characteristic | Raspberry Pi 5 B (Broadcom BCM2712) |
| 5 nm | Technology | 16 nm |
| Chiplet | Chip design | Monolithic |
| Armv8.5-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
| Rosetta 2 x86-Emulation | ISA extensions | -- |
| -- | Socket | -- |
| Apple Virtualization Framework | Virtualization | None |
| Yes | AES-NI | No |
| macOS, iPadOS | Operating systems | Windows 11 (ARM), Linux |
| Q1/2023 | Release date | Q3/2023 |
| -- | Release price | 79 $ |
| show more data | show more data | |
12C 12T @ 0.66 GHz (3.50 GHz) buy now on Amazon and save!
4C 4T @ 1.00 GHz (2.40 GHz) buy now on Amazon and save!
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Rate these processors
Average performance in benchmarks
⌀ Single core performance in 2 CPU benchmarks
⌀ Multi core performance in 2 CPU benchmarks
Geekbench 5, 64bit (Single-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Geekbench 5, 64bit (Multi-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Geekbench 6 (Single-Core)
Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Geekbench 6 (Multi-Core)
Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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iGPU - FP32 Performance (Single-precision GFLOPS)
The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.
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Apple M2 Max (38-GPU)
Apple M2 Max (38 Core) @ 1.40 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
Broadcom VideoCore VII @ 0.80 GHz |
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Cinebench 2024 (Single-Core)
The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in Maxon's 3D program Cinema 4D. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Cinebench 2024 (Multi-Core)
The Multi-Core test of the Cinebench 2024 benchmark uses all cpu cores to render using the Redshift rendering engine, which is also used in Maxons Cinema 4D. The benchmark run is 10 minutes long to test whether the processor is limited by its heat generation.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Cinebench R23 (Single-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Cinebench R23 (Multi-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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Estimated results for PassMark CPU Mark
Some of the CPUs listed below have been benchmarked by CPU-monkey. However the majority of CPUs have not been tested and the results have been estimated by a CPU-monkey’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
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Apple M2 Max (38-GPU)
12C 12T @ 3.50 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 2.40 GHz |
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CPU performance per watt (efficiency)
Efficiency of the processor under full load in the Cinebench R23 (multi-core) benchmark. The benchmark result is divided by the average energy required (CPU package power in watts). The higher the value, the more efficient the CPU is under full load.
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Apple M2 Max (38-GPU)
14,855 CB R23 MC @ 40 W |
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Raspberry Pi 5 B (Broadcom BCM2712)
1.00 GHz |
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Performance for Artificial Intelligence (AI) and Machine Learning (ML)
Processors 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. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
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Apple M2 Max (38-GPU)
12C 12T @ 0.66 GHz |
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Raspberry Pi 5 B (Broadcom BCM2712)
4C 4T @ 1.00 GHz |
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Devices using this processor |
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| Apple M2 Max (38-GPU) | Raspberry Pi 5 B (Broadcom BCM2712) |
| Apple MacBook Pro 16 (2023) | Raspberry Pi 5 B |
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