Apple M2 Max (30-GPU) vs Apple M2 Ultra (76-GPU)
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CPU comparison with benchmarks
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| Apple M2 Max (30-GPU) | Apple M2 Ultra (76-GPU) | |
CPU comparisonApple M2 Max (30-GPU) or Apple M2 Ultra (76-GPU) - 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 (30-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 (30-GPU) was released in Q1/2023. The Apple M2 Ultra (76-GPU) has 24 cores with 24 threads and clocks with a maximum frequency of 3.50 GHz. The CPU supports up to 192 GB of memory in 8 memory channels. The Apple M2 Ultra (76-GPU) was released in Q2/2023. |
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| Apple M series (25) | Family | Apple M series (25) |
| Apple M2 (8) | CPU group | Apple M2 (8) |
| 2 | Generation | 2 |
| M2 | Architecture | M2 |
| Mobile | Segment | Mobile |
| Apple M1 Max (24-GPU) | Predecessor | Apple M1 Ultra (64-GPU) |
| Apple M3 Max (14-CPU 30-GPU) | Successor | -- |
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CPU Cores and Base FrequencyThe Apple M2 Max (30-GPU) has 12 CPU cores and can calculate 12 threads in parallel. The clock frequency of the Apple M2 Max (30-GPU) is 0.66 GHz (3.50 GHz) while the Apple M2 Ultra (76-GPU) has 24 CPU cores and 24 threads can calculate simultaneously. The clock frequency of the Apple M2 Ultra (76-GPU) is at 0.66 GHz (3.50 GHz). |
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| Apple M2 Max (30-GPU) | Characteristic | Apple M2 Ultra (76-GPU) |
| 12 | Cores | 24 |
| 12 | Threads | 24 |
| hybrid (big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 0.66 GHz (3.50 GHz) 8x Avalanche |
A-Core | 0.66 GHz (3.50 GHz) 16x Avalanche |
| 0.60 GHz (2.42 GHz) 4x Blizzard |
B-Core | 0.60 GHz (2.42 GHz) 8x Blizzard |
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 (30-GPU) | Characteristic | Apple M2 Ultra (76-GPU) |
| Apple Neural Engine | AI hardware | Apple Neural Engine |
| 16 Neural cores @ 15.8 TOPS | AI specifications | 32 Neural cores @ 31.6 TOPS |
Internal GraphicsThe Apple M2 Max (30-GPU) or Apple M2 Ultra (76-GPU) has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die. |
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| Apple M2 Max (30 Core) | GPU | Apple M2 Ultra (76 Core) |
| 0.45 GHz | GPU frequency | 0.45 GHz |
| 1.40 GHz | GPU (Turbo) | 1.40 GHz |
| 2 | GPU Generation | 2 |
| 5 nm | Technology | 5 nm |
| 5 | Max. displays | 8 |
| 480 | Compute units | 1216 |
| 3840 | Shader | 9728 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 96 GB | Max. GPU Memory | 192 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 (30 Core) | GPU | Apple M2 Ultra (76 Core) |
| 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 |
| No | Codec AV1 | No |
| Decode | Codec AVC | Decode |
| Decode | Codec VC-1 | Decode |
| Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Apple M2 Max (30-GPU) can use up to 96 GB of memory in 4 memory channels. The maximum memory bandwidth is 409.6 GB/s. The Apple M2 Ultra (76-GPU) supports up to 192 GB of memory in 8 memory channels and achieves a memory bandwidth of up to 819.1 GB/s. |
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| Apple M2 Max (30-GPU) | Characteristic | Apple M2 Ultra (76-GPU) |
| LPDDR5-6400 | Memory | LPDDR5-6400 |
| 96 GB | Max. Memory | 192 GB |
| 4 (Quad Channel) | Memory channels | 8 (Octa Channel) |
| 409.6 GB/s | Max. Bandwidth | 819.1 GB/s |
| No | ECC | No |
| 36.00 MB | L2 Cache | 72.00 MB |
| -- | L3 Cache | -- |
| 4.0 | PCIe version | 4.0 |
| 32 | PCIe lanes | 64 |
| 63.0 GB/s | PCIe Bandwidth | 126.0 GB/s |
Thermal ManagementThe thermal design power (TDP for short) of the Apple M2 Max (30-GPU) is 45 W, while the Apple M2 Ultra (76-GPU) has a TDP of 80 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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| Apple M2 Max (30-GPU) | Characteristic | Apple M2 Ultra (76-GPU) |
| 45 W | TDP (PL1 / PBP) | 80 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| 100 °C | Tjunction max. | 100 °C |
Technical detailsThe Apple M2 Max (30-GPU) is manufactured in 5 nm and has 36.00 MB cache. The Apple M2 Ultra (76-GPU) is manufactured in 5 nm and has a 72.00 MB cache. |
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| Apple M2 Max (30-GPU) | Characteristic | Apple M2 Ultra (76-GPU) |
| 5 nm | Technology | 5 nm |
| Chiplet | Chip design | Chiplet |
| Armv8.5-A (64 bit) | Instruction set (ISA) | Armv8.5-A (64 bit) |
| Rosetta 2 x86-Emulation | ISA extensions | Rosetta 2 x86-Emulation |
| -- | Socket | -- |
| Apple Virtualization Framework | Virtualization | Apple Virtualization Framework |
| Yes | AES-NI | Yes |
| macOS, iPadOS | Operating systems | macOS, iPadOS |
| Q1/2023 | Release date | Q2/2023 |
| -- | Release price | -- |
| show more data | show more data | |
12C 12T @ 0.66 GHz (3.50 GHz) buy now on Amazon and save!
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Rate these processors
Average performance in benchmarks
⌀ Single core performance in 4 CPU benchmarks
⌀ Multi core performance in 5 CPU benchmarks
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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
Apple M2 Max (30 Core) @ 1.40 GHz |
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Apple M2 Ultra (76-GPU)
Apple M2 Ultra (76 Core) @ 1.40 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 (30-GPU)
12C 12T @ 3.50 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 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 (30-GPU)
14,855 CB R23 MC @ 40 W |
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Apple M2 Ultra (76-GPU)
28,570 CB R23 MC @ 80 W |
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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 (30-GPU)
12C 12T @ 0.66 GHz |
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Apple M2 Ultra (76-GPU)
24C 24T @ 0.66 GHz |
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Devices using this processor |
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| Apple M2 Max (30-GPU) | Apple M2 Ultra (76-GPU) |
| Apple MacBook Pro 14 (2023) Apple MacBook Pro 16 (2023) |
Unknown |
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