Apple M2 Ultra (76-GPU) vs Apple M2 (8-GPU)
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CPU comparison with benchmarks
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| Apple M2 Ultra (76-GPU) | Apple M2 (8-GPU) | |
CPU comparisonIn this CPU comparison, we compare the Apple M2 Ultra (76-GPU) and the Apple M2 (8-GPU) and use benchmarks to check which processor is faster.
We compare the Apple M2 Ultra (76-GPU) 24 core processor released in Q2/2023 with the Apple M2 (8-GPU) which has 8 CPU cores and was introduced in Q2/2022. |
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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 Ultra (64-GPU) | Predecessor | Apple M1 |
| -- | Successor | Apple M3 (8-GPU) |
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CPU Cores and Base FrequencyThe Apple M2 Ultra (76-GPU) is a 24 core processor with a clock frequency of 0.66 GHz (3.50 GHz). The processor can compute 24 threads at the same time. The Apple M2 (8-GPU) clocks with 0.66 GHz (3.50 GHz), has 8 CPU cores and can calculate 8 threads in parallel. |
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| Apple M2 Ultra (76-GPU) | Characteristic | Apple M2 (8-GPU) |
| 24 | Cores | 8 |
| 24 | Threads | 8 |
| hybrid (big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 0.66 GHz (3.50 GHz) 16x Avalanche |
A-Core | 0.66 GHz (3.50 GHz) 4x Avalanche |
| 0.60 GHz (2.42 GHz) 8x Blizzard |
B-Core | 0.60 GHz (2.42 GHz) 4x 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 Ultra (76-GPU) | Characteristic | Apple M2 (8-GPU) |
| Apple Neural Engine | AI hardware | Apple Neural Engine |
| 32 Neural cores @ 31.6 TOPS | AI specifications | 16 Neural cores @ 15.8 TOPS |
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 M2 Ultra (76 Core) | GPU | Apple M2 (8 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 |
| 8 | Max. displays | 2 |
| 1216 | Compute units | 128 |
| 9728 | Shader | 1024 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| 192 GB | Max. GPU Memory | 24 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 Ultra (76 Core) | GPU | Apple M2 (8 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 & PCIeUp to 192 GB of memory in a maximum of 8 memory channels is supported by the Apple M2 Ultra (76-GPU), while the Apple M2 (8-GPU) supports a maximum of 24 GB of memory with a maximum memory bandwidth of 102.4 GB/s enabled. |
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| Apple M2 Ultra (76-GPU) | Characteristic | Apple M2 (8-GPU) |
| LPDDR5-6400 | Memory | LPDDR5-6400 |
| 192 GB | Max. Memory | 24 GB |
| 8 (Octa Channel) | Memory channels | 2 (Dual Channel) |
| 819.1 GB/s | Max. Bandwidth | 102.4 GB/s |
| No | ECC | No |
| 72.00 MB | L2 Cache | 20.00 MB |
| -- | L3 Cache | -- |
| 4.0 | PCIe version | 4.0 |
| 64 | PCIe lanes | -- |
| 126.0 GB/s | PCIe Bandwidth | -- |
Thermal ManagementThe Apple M2 Ultra (76-GPU) has a TDP of 80 W. The TDP of the Apple M2 (8-GPU) is 20 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution. |
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| Apple M2 Ultra (76-GPU) | Characteristic | Apple M2 (8-GPU) |
| 80 W | TDP (PL1 / PBP) | 20 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | 25 W |
| -- | TDP down | 10 W |
| 100 °C | Tjunction max. | 100 °C |
Technical detailsThe Apple M2 Ultra (76-GPU) has 72.00 MB cache and is manufactured in 5 nm. The cache of Apple M2 (8-GPU) is at 20.00 MB. The processor is manufactured in 5 nm. |
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| Apple M2 Ultra (76-GPU) | Characteristic | Apple M2 (8-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 |
| Q2/2023 | Release date | Q2/2022 |
| -- | Release price | -- |
| show more data | show more data | |
24C 24T @ 0.66 GHz (3.50 GHz) buy now on Amazon and save!
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
Apple M2 Ultra (76 Core) @ 1.40 GHz |
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Apple M2 (8-GPU)
Apple M2 (8 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 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 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 Ultra (76-GPU)
28,570 CB R23 MC @ 80 W |
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Apple M2 (8-GPU)
8,558 CB R23 MC @ 20 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 Ultra (76-GPU)
24C 24T @ 0.66 GHz |
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Apple M2 (8-GPU)
8C 8T @ 0.66 GHz |
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Blender 2.81 (bmw27)
Blender is a free 3D graphics software for rendering (creating) 3D bodies, which can also be textured and animated in the software. The Blender benchmark creates predefined scenes and measures the time (s) required for the entire scene. The shorter the time required, the better. We selected bmw27 as the benchmark scene.
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Apple M2 Ultra (76-GPU)
24C 24T @ 3.50 GHz |
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Apple M2 (8-GPU)
8C 8T @ 3.50 GHz |
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Devices using this processor |
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| Apple M2 Ultra (76-GPU) | Apple M2 (8-GPU) |
| Unknown | Apple MacBook Air 14 (2022) Apple MacBook Pro 13 (2022) |
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