Intel Xeon E7-8857 v2 vs Apple M2 Ultra (60-GPU)
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CPU comparison with benchmarks
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| Intel Xeon E7-8857 v2 | Apple M2 Ultra (60-GPU) | |
CPU comparisonIntel Xeon E7-8857 v2 or Apple M2 Ultra (60-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 Intel Xeon E7-8857 v2 has 12 cores with 12 threads and clocks with a maximum frequency of 3.60 GHz. Up to 1536 GB of memory is supported in 4 memory channels. The Intel Xeon E7-8857 v2 was released in Q1/2014. The Apple M2 Ultra (60-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 (60-GPU) was released in Q2/2023. |
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| Intel Xeon E7 (20) | Family | Apple M series (25) |
| Intel Xeon E7 v2 (20) | CPU group | Apple M2 (8) |
| 4 | Generation | 2 |
| Ivy Bridge EX | Architecture | M2 |
| Desktop / Server | Segment | Mobile |
| -- | Predecessor | Apple M1 Ultra (48-GPU) |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Intel Xeon E7-8857 v2 has 12 CPU cores and can calculate 12 threads in parallel. The clock frequency of the Intel Xeon E7-8857 v2 is 3.00 GHz (3.60 GHz) while the Apple M2 Ultra (60-GPU) has 24 CPU cores and 24 threads can calculate simultaneously. The clock frequency of the Apple M2 Ultra (60-GPU) is at 0.66 GHz (3.50 GHz). |
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| Intel Xeon E7-8857 v2 | Characteristic | Apple M2 Ultra (60-GPU) |
| 12 | Cores | 24 |
| 12 | Threads | 24 |
| normal | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 3.00 GHz (3.60 GHz) | A-Core | 0.66 GHz (3.50 GHz) 16x Avalanche |
| -- | B-Core | 0.60 GHz (2.42 GHz) 8x Blizzard |
NPU AI performanceThe performance values of the processor's AI unit. The isolated NPU performance is specified here, the total AI performance (NPU+CPU+iGPU) can be higher. Processors with support for artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. |
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| Intel Xeon E7-8857 v2 | Characteristic | Apple M2 Ultra (60-GPU) |
| -- | AI hardware | Apple Neural Engine |
| -- | AI specifications | 32 Neural cores @ 31.6 TOPS |
| -- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Intel Xeon E7-8857 v2 or Apple M2 Ultra (60-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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| no iGPU | GPU | Apple M2 Ultra (60 Core) |
| GPU frequency | 0.45 GHz | |
| -- | GPU (Turbo) | 1.40 GHz |
| -- | GPU Generation | 2 |
| Technology | 5 nm | |
| Max. displays | 8 | |
| -- | Compute units | 960 |
| -- | Shader | 7680 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | 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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| no iGPU | GPU | Apple M2 Ultra (60 Core) |
| No | Codec h265 / HEVC (8 bit) | Decode / Encode |
| No | Codec h265 / HEVC (10 bit) | Decode / Encode |
| No | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode / Encode |
| No | Codec VP8 | Decode |
| No | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Intel Xeon E7-8857 v2 can use up to 1536 GB of memory in 4 memory channels. The maximum memory bandwidth is 51.2 GB/s. The Apple M2 Ultra (60-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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| Intel Xeon E7-8857 v2 | Characteristic | Apple M2 Ultra (60-GPU) |
| DDR3-1600 | Memory | LPDDR5-6400 |
| 1536 GB | Max. Memory | 192 GB |
| 4 (Quad Channel) | Memory channels | 8 (Octa Channel) |
| 51.2 GB/s | Max. Bandwidth | 819.1 GB/s |
| Yes | ECC | No |
| -- | L2 Cache | 72.00 MB |
| 30.00 MB | L3 Cache | -- |
| -- | PCIe version | 4.0 |
| -- | PCIe lanes | 64 |
| -- | PCIe Bandwidth | 126.0 GB/s |
Thermal ManagementThe thermal design power (TDP for short) of the Intel Xeon E7-8857 v2 is 130 W, while the Apple M2 Ultra (60-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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| Intel Xeon E7-8857 v2 | Characteristic | Apple M2 Ultra (60-GPU) |
| 130 W | TDP (PL1 / PBP) | 80 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | 100 °C |
Technical detailsThe Intel Xeon E7-8857 v2 is manufactured in 22 nm and has 30.00 MB cache. The Apple M2 Ultra (60-GPU) is manufactured in 5 nm and has a 72.00 MB cache. |
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| Intel Xeon E7-8857 v2 | Characteristic | Apple M2 Ultra (60-GPU) |
| 22 nm | Technology | 5 nm |
| Monolithic | Chip design | Chiplet |
| x86-64 (64 bit) | Instruction set (ISA) | Armv8.5-A (64 bit) |
| SSE4.1, SSE4.2, AVX | ISA extensions | Rosetta 2 x86-Emulation |
| LGA 2011 | Socket | -- |
| VT-x, VT-x EPT, VT-d | Virtualization | Apple Virtualization Framework |
| Yes | AES-NI | Yes |
| Windows 10, Linux | Operating systems | macOS, iPadOS |
| Q1/2014 | Release date | Q2/2023 |
| 2800 $ | Release price | -- |
| show more data | show more data | |
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24C 24T @ 0.66 GHz (3.50 GHz) buy now on Amazon and save!
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Rate these processors
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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
@ 0.00 GHz |
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Apple M2 Ultra (60-GPU)
Apple M2 Ultra (60 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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Intel Xeon E7-8857 v2
12C 12T @ 3.60 GHz |
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Apple M2 Ultra (60-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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Intel Xeon E7-8857 v2
3.00 GHz |
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Apple M2 Ultra (60-GPU)
28,570 CB R23 MC @ 80 W |
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AI performance (NPU)
The performance values of the processor's AI unit. The isolated NPU performance is given here, the total AI performance (NPU+CPU+iGPU) can be higher.
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).
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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Intel Xeon E7-8857 v2
12C 12T @ 3.00 GHz |
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Apple M2 Ultra (60-GPU)
24C 24T @ 0.66 GHz |
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Devices using this processor |
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| Intel Xeon E7-8857 v2 | Apple M2 Ultra (60-GPU) |
| Unknown | Unknown |
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