| Intel Xeon D-2795NT | Google Tensor | |
| 2.00 GHz | Frequency | 1.80 GHz (2.80 GHz) |
| 3.10 GHz | Turbo (1 Core) | 1.80 GHz (2.80 GHz) |
| 2.30 GHz | Turbo (All Cores) | -- |
| 20 | Cores | 8 |
| Yes | Hyperthreading ? | No |
| No | Overclocking ? | No |
| normal | Core architecture | hybrid (Prime / big.LITTLE) |
| no iGPU | GPU | ARM Mali-G78 MP20 |
| DirectX Version | 12 | |
| Max. displays | 1 | |
| DDR4-2933 | Memory | LPDDR5-5500 |
| 4 | Memory channels | 2 |
| 1024 GB | Max. Memory | 12 GB |
| Yes | ECC | No |
| 30.00 MB | L2 Cache | 8.00 MB |
| -- | L3 Cache | -- |
| PCIe version | ||
| PCIe lanes | ||
| 10 nm | Technology | 5 nm |
| BGA 2579 | Socket | N/A |
| 110 W | TDP | 10 W |
| VT-x, VT-x EPT, VT-d | Virtualization | None |
| Q1/2022 | Release date | Q4/2021 |
| 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.
Geekbench 3 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 3 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.
