Follow us
Share link
Submit benchmark
Intel Xeon D-2733NT vs Apple M1 Pro (10-CPU 14-GPU)
Last updated:
CPU comparison with benchmarks
|
 |
|
| Intel Xeon D-2733NT | Apple M1 Pro (10-CPU 14-GPU) | |
CPU comparisonIntel Xeon D-2733NT or Apple M1 Pro (10-CPU 14-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 D-2733NT has 8 cores with 16 threads and clocks with a maximum frequency of 3.20 GHz. Up to 1024 GB of memory is supported in 4 memory channels. The Intel Xeon D-2733NT was released in Q1/2022. The Apple M1 Pro (10-CPU 14-GPU) has 10 cores with 10 threads and clocks with a maximum frequency of 3.20 GHz. The CPU supports up to 32 GB of memory in 2 memory channels. The Apple M1 Pro (10-CPU 14-GPU) was released in Q3/2021. |
||
| Intel Xeon D (79) | Family | Apple M series (32) |
| Intel Xeon D-2700 (16) | CPU group | Apple M1 (9) |
| 4 | Generation | 1 |
| Ice Lake | Architecture | M1 |
| Desktop | Segment | Notebook |
| -- | Predecessor | -- |
| -- | Successor | Apple M2 Pro (10-CPU 16-GPU) |
|
|
||
CPU Cores and Base FrequencyThe Intel Xeon D-2733NT is a 8 core processor with a clock frequency of 2.10 GHz (3.20 GHz). The Apple M1 Pro (10-CPU 14-GPU) has 10 CPU cores with a clock frequency of 0.60 GHz (3.20 GHz). |
||
| Intel Xeon D-2733NT | Characteristic | Apple M1 Pro (10-CPU 14-GPU) |
| 8 | Cores | 10 |
| 16 | Threads | 10 |
| normal | Core architecture | hybrid (big.LITTLE) |
| Yes | Hyperthreading | No |
| No | Overclocking ? | No |
| 2.10 GHz (3.20 GHz) 8x Sunny Cove |
A-Core | 0.60 GHz (3.20 GHz) 8x Firestorm |
| -- | B-Core | 0.60 GHz (2.06 GHz) 2x Icestorm |
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. |
||
| Intel Xeon D-2733NT | Characteristic | Apple M1 Pro (10-CPU 14-GPU) |
| -- | AI hardware | Apple Neural Engine |
| -- | AI specifications | 16 Neural cores @ 11 TOPS |
| -- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The 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. |
||
| no iGPU | GPU | Apple M1 Pro (14 Core) |
| GPU frequency | 0.39 GHz | |
| -- | GPU (Turbo) | 1.30 GHz |
| -- | GPU Generation | 1 |
| Technology | 5 nm | |
| Max. displays | 3 | |
| -- | Compute units | 224 |
| -- | Shader | 1792 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 32 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. |
||
| no iGPU | GPU | Apple M1 Pro (14 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 D-2733NT supports a maximum of 1024 GB of memory in 4 memory channels. The Apple M1 Pro (10-CPU 14-GPU) can connect up to 32 GB of memory in 2 memory channels. |
||
| Intel Xeon D-2733NT | Characteristic | Apple M1 Pro (10-CPU 14-GPU) |
| DDR4-2666 | Memory | LPDDR5-6400 |
| 1024 GB | Max. Memory | 32 GB |
| 4 (Quad Channel) | Memory channels | 2 (Dual Channel) |
| 85.4 GB/s | Max. Bandwidth | 102.4 GB/s |
| Yes | ECC | No |
| 15.00 MB | L2 Cache | 28.00 MB |
| -- | L3 Cache | -- |
| 4.0 | PCIe version | 4.0 |
| 32 | PCIe lanes | -- |
| 63.0 GB/s | PCIe Bandwidth | -- |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Intel Xeon D-2733NT has a TDP of 80 W, that of the Apple M1 Pro (10-CPU 14-GPU) is 45 W. |
||
| Intel Xeon D-2733NT | Characteristic | Apple M1 Pro (10-CPU 14-GPU) |
| 80 W | TDP (PL1 / PBP) | 45 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Intel Xeon D-2733NT has a 15.00 MB cache, while the Apple M1 Pro (10-CPU 14-GPU) cache has a total of 28.00 MB. |
||
| Intel Xeon D-2733NT | Characteristic | Apple M1 Pro (10-CPU 14-GPU) |
| 10 nm | Technology | 5 nm |
| Monolithic | Chip design | Chiplet |
| x86-64 (64 bit) | Instruction set (ISA) | Armv8.5-A (64 bit) |
| SSE4.1, SSE4.2, AVX2, AVX-512 | ISA extensions | Rosetta 2 x86-Emulation |
| BGA 2579 | Socket | -- |
| VT-x, VT-x EPT, VT-d | Virtualization | Apple Virtualization Framework |
| Yes | AES-NI | Yes |
| Windows 10, Linux | Operating systems | macOS |
| Q1/2022 | Release date | Q3/2021 |
| 831 $ | Release price | -- |
| show more data | show more data | |
8C 16T @ 2.10 GHz (3.20 GHz) buy now on Amazon and save!
10C 10T @ 0.60 GHz (3.20 GHz) buy now on Amazon and save!
|
||
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.
|
Intel Xeon D-2733NT
8C 16T @ 3.20 GHz |
||
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
8C 16T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
8C 16T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
8C 16T @ 2.70 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
Geekbench 6 (Single-Core)
Geekbench 6 is a partial load benchmark for modern computers, notebooks and smartphones. In the single-core test, only the fastest CPU core is measured. The test run simulates the performance in practice.
|
|
Intel Xeon D-2733NT
8C 16T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
Geekbench 6 (Multi-Core)
The practical Geekbench 6 multi-core benchmark tests the system's performance under partial load. The processor's maximum power consumption is far from being used up.
|
|
Intel Xeon D-2733NT
8C 16T @ 2.70 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
8C 16T @ 3.20 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
8C 16T @ 2.70 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
@ 0.00 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
Apple M1 Pro (14 Core) @ 1.30 GHz |
||
Blender 3.1 Benchmark
In the Blender Benchmark 3.1, the scenes "monster", "junkshop" and "classroom" are rendered and the time required by the system is measured. In our benchmark we test the CPU and not the graphics card. Blender 3.1 was presented as a standalone version in March 2022.
|
|
Intel Xeon D-2733NT
8C 16T @ 2.70 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
8C 16T @ 2.70 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 3.20 GHz |
||
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.
|
|
Intel Xeon D-2733NT
2.10 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
12,390 CB R23 MC @ 45 W |
||
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).
|
|
Intel Xeon D-2733NT
8C 16T @ 2.10 GHz |
||
|
|
Apple M1 Pro (10-CPU 14-GPU)
10C 10T @ 0.60 GHz |
||
Devices using this processor |
|
| Intel Xeon D-2733NT | Apple M1 Pro (10-CPU 14-GPU) |
| Unknown | Apple MacBook Pro 14 (2021) Apple MacBook Pro 16 (2021) |
News and articles for the Intel Xeon D-2733NT and the Apple M1 Pro (10-CPU 14-GPU)
Apple M2 Pro with more CPU cores and production in 3 nm ?
Posted by Stefan on 2022-06-28
After Apple surprisingly presented the normal Apple M2 processor as the first successor to the Apple M1 already in June 2022, the Apple M2 Pro and the Apple M2 Max may follow in autumn. The difference in performance compared to the basic version could be even greater this time and range from 25 to 40 percent.
In this article we describe how Apple could realize this and why the price should also go up.
In this article we describe how Apple could realize this and why the price should also go up.
Apple M2 vs Apple M1 - What are the differences?
Posted by Stefan on 2022-06-09
During WWDC 2022 on June 6th, 2022 Apple surprisingly presented its new Apple M2 processor. This will initially be installed in a completely revised Apple MacBook Air with 13.6 inches, a even thinner form factor and new colors. Apple also updated the already known (old) Apple MacBook Pro 13.3 with touch bar.
Many leakers had counted on Apple not presenting its new second-generation M processor until the fall. But things turned out differently. And there is very likely a reason for that: the improvements in the Apple M2 are limited compared to the predecessor.
Many leakers had counted on Apple not presenting its new second-generation M processor until the fall. But things turned out differently. And there is very likely a reason for that: the improvements in the Apple M2 are limited compared to the predecessor.
Popular comparisons containing this CPUs
back to index