| Apple A16 Bionic | Google Tensor G2 | |
| 3.46 GHz | Frequency | 2.85 GHz |
| 3.46 GHz | Turbo (1 Core) | 2.85 GHz |
| 2.02 GHz | Turbo (All Cores) | 1.80 GHz |
| 6 | Cores | 8 |
| No | Hyperthreading ? | No |
| No | Overclocking ? | No |
| hybrid (big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
| Apple A16 (5 GPU Cores) | GPU | ARM Mali-G710 MP7 |
| DirectX Version | ||
| 3 | Max. displays | 1 |
| LPDDR5-6400 | Memory | LPDDR5-5500 |
| 1 | Memory channels | 2 |
| 6 GB | Max. Memory | 12 GB |
| No | ECC | No |
| 20.00 MB | L2 Cache | 8.00 MB |
| 24.00 MB | L3 Cache | 4.00 MB |
| PCIe version | ||
| PCIe lanes | ||
| 4 nm | Technology | 4 nm |
| N/A | Socket | N/A |
| 8.5 W | TDP | 10 W |
| None | Virtualization | None |
| Q3/2022 | Release date | Q4/2022 |
| show more detail | show more detail |
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.
