Display Type IPS LCD, 400 nits (typ) Size 6.52 inches, 102.6 cm2 (~81.3% screen-to-body ratio) Resolution 720 x 1600 pixels, 20:9 ratio (~269 ppi density) Platform OS Android 11, Realme Go UI Chipset Unisoc SC9863A (28nm) CPU Octa-core (4x1.6 GHz Cortex-A55 & 4x1.2 GHz Cortex...
CPU Octa-core (2x2.0 GHz Cortex-A75 & 6x1.8 GHz Cortex-A55) Chipset MediaTek Helio G35 GPU Mali-G52 MC2 Battery Type Li-Po battery Capacity 5000 mah Removable Non-Removable Fast charging charging 10W Commons Audio Jack 3.5mm Jack
iPhone 15 Pro (256GB)Realme C11 (2021, 32GB) Chipset64bit:Apple A17 Pro(3nm)64bit:Unisoc SC9863A(28nm) CPUHexa-core, 2 processors: 2x 3.78GHz P-Core(Dual-core) 4x 2.1GHz E-Core(Quad-core)Octa-core, 2 processors: 4x 1.6GHz ARM Cortex-A55(Quad-core) ...
CPU Octa Core Battery Capacity 5000mAh battery Model Number Realme C11 (2021) Screen Resolution 720x1600 pixels Front Camera 5mp Quick charge None Rear Camera 8mp Display Type IPS LCD, 400 nits (typ) Processor Brand Others Product Name Realme C11 (2021) Technology GSM / HSPA / LTE Dimensions...
Realme C11 (2021) Android smartphone. Announced Jun 2021. Features 6.52″ display, Unisoc SC9863A chipset, 5000 mAh battery, 64 GB storage, 4 GB RAM.
共计交付新车15800辆,创下历史新高。其中C11增程功不可没,本人也贡献了一辆,C11增程版。 从外观的设计来看,零跑C11增程版的外观造型精致,前脸的样式有着更高的辨识度,进气格栅的样式得体,而且点阵式的进气口设计是个亮点,不仅好看而且还能提升能耗上的表现,前大灯组的造型大方,而且采用的是贯穿式的设计,点亮之后的...
CPU处理器 8核 2.2GHz,14nm LPP1 GNSS定位 BDS B1 , GPS L1 C/A, GLONASS L1,定位模块,支持北斗独立定位,内置有源陶瓷天线,支持外接GNSS天线,定位精度2-5米,冷启动32秒 电源性能 电池容量 4500mAh大容量电池,可拆卸,具有电池锁扣 充电性能 支持QC 3.0 快速充电(可选配QC 3.0充电器),USB3.0 Type C充电...
Realme C11 2021 Specifications: Display:6.5-inch HD+ (1600 x 720), 20:9, 269 PPI Chipset:Unisoc SC9863A (28nm) RAM:2/4GB LPDDR4x Storage:32/64GB eMMC 5.1 (expandable via dedicated slot) Cameras:8MP rear, 5MP front Connectivity:Wi-Fi b/g/n, Bluetooth, micro-USB port, OTG ...
We could use 32-bit instructions in calculations which would have sense if we use 32-bit CPU When we use 32-bit instructions we take only 32-bit significant part of 64-bit operand and high 32-bit part of the result is machine defined (so if you write a portable MIR code consider the...
device("cpu") atom_featurizer = PretrainAtomFeaturizer() bond_featurizer = PretrainBondFeaturizer() if args.dataset == 'MUV': from dgllife.data import MUV dataset = MUV(smiles_to_graph=partial(smiles_to_bigraph, add_self_loop=True), node_featurizer=atom_featurizer, edge_featurize...