| Intel Xeon D-1748TE | Qualcomm Snapdragon 210 | |
| 65 W | Max TDP | |
| NA | Power consumption per day (kWh) | NA |
| NA | Running cost per day | NA |
| NA | Power consumption per year (kWh) | NA |
| NA | Running cost per year | NA |
Intel Xeon D-1748TE vs Qualcomm Snapdragon 210
The Intel Xeon D-1748TE operates with 10 cores and 20 CPU threads. It run at 3.40 GHz base 2.50 GHz all cores while the TDP is set at 65 W.The processor is attached to the BGA 2227 CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support DDR4-2400 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Ice Lake Architecture is enhanced with 10 nm technology and supports VT-x, VT-x EPT, VT-d. The product was launched on Q1/2022
The Qualcomm Snapdragon 210 operates with 47 cores and 20 CPU threads. It run at -- base all cores while the TDP is set at .The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 1 memory channels to support LPDDR2LPDDR3 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A7 Architecture is enhanced with 28 nm technology and supports None. The product was launched on 2014
Intel Xeon D-1748TE
Qualcomm Snapdragon 210
Compare Detail
| 2.30 GHz | Frequency | 1.10 GHz |
| 10 | Cores | 47 |
| 3.40 GHz | Turbo (1 Core) | -- |
| 2.50 GHz | Turbo (All Cores) | |
| Hyperthreading | No | |
| Overclocking | No |
|
| normal | Core Architecture | normal |
| no iGPU | GPU | Qualcomm Adreno 304 |
| No turbo | GPU (Turbo) | 0.40 GHz |
| 10 nm | Technology | 28 nm |
| No turbo | GPU (Turbo) | 0.40 GHz |
| DirectX Version | 11 | |
| Max. displays | 0 | |
| DDR4-2400 | Memory | LPDDR2LPDDR3 |
| 2 | Memory channels | 1 |
| Max memory | ||
| ECC | No |
|
| 15.00 MB | L2 Cache | -- |
| -- | L3 Cache | -- |
| PCIe version | ||
| PCIe lanes | ||
| 10 nm | Technology | 28 nm |
| BGA 2227 | Socket | N/A |
| 65 W | TDP | |
| VT-x, VT-x EPT, VT-d | Virtualization | None |
| Q1/2022 | Release date | 2014 |
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.
Electric Usage Estimate
