| Apple M2 Pro (10-CPU 16-GPU) | Intel Core i5-13500H | |
| 3.50 GHz | Frequency | 2.60 GHz (4.70 GHz) |
| 3.50 GHz | Turbo (1 Core) | 2.60 GHz (4.70 GHz) |
| 2.80 GHz | Turbo (All Cores) | 1.90 GHz (3.50 GHz) |
| 10 | Cores | 12 |
| No | Hyperthreading ? | Yes |
| No | Overclocking ? | No |
| hybrid (big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
| Apple M2 Pro (16 Core) | GPU | Intel Iris Xe Graphics 80 (Alder Lake) |
| DirectX Version | ||
| 2 | Max. displays | 4 |
| LPDDR5-6400 | Memory | DDR4-3200DDR5-5200LPDDR4X-4266LPDDR5-6400 |
| 2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
| 32 GB | Max. Memory | 64 GB |
| No | ECC | Yes |
| 28.00 MB | L2 Cache | -- |
| -- | L3 Cache | 18.00 MB |
| PCIe version | ||
| PCIe lanes | ||
| 5 nm | Technology | 10 nm |
| -- | Socket | BGA 1744 |
| TDP | ||
| Apple Virtualization Framework | Virtualization | VT-x, VT-x EPT, VT-d |
| Q1/2023 | Release date | Q1/2023 |
| show more detail | show more detail |
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.
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.
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.
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.
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.
