Samsung Exynos 7872 | Intel Atom C3808 | |
Max TDP | 25 W | |
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 |
Samsung Exynos 7872 vs Intel Atom C3808
The Samsung Exynos 7872 operates with 6 cores and 6 CPU threads. It run at 2.00 GHz base 1.60 GHz 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 0 memory channels to support LPDDR3-933 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A73 / Cortex-A53 Architecture is enhanced with 14 nm technology and supports None. The product was launched on Q1/2018
The Intel Atom C3808 operates with 12 cores and 6 CPU threads. It run at -- base -- all cores while the TDP is set at 25 W.The processor is attached to the BGA 1310 CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support DDR4-2133 RAM and features 3.0 PCIe Gen 16 lanes. Tjunction keeps below 100 °C degrees C. In particular, Denverton Architecture is enhanced with 14 nm technology and supports VT-x, VT-x EPT, VT-d. The product was launched on Q3/2017
Samsung Exynos 7872
Intel Atom C3808
Compare Detail
2.00 GHz | Frequency | 2.00 GHz |
6 | Cores | 12 |
2.00 GHz | Turbo (1 Core) | -- |
1.60 GHz | Turbo (All Cores) | -- |
No | Hyperthreading | No |
No | Overclocking | No |
hybrid (big.LITTLE) | Core Architecture | normal |
ARM Mali-G71 MP1 | GPU | no iGPU |
0.95 GHz | GPU (Turbo) | No turbo |
14 nm | Technology | 14 nm |
0.95 GHz | GPU (Turbo) | No turbo |
11 | DirectX Version | |
1 | Max. displays | |
LPDDR3-933 | Memory | DDR4-2133 |
0 | Memory channels | 2 |
Max memory | ||
No | ECC | Yes |
2.00 MB | L2 Cache | 12.00 MB |
-- | L3 Cache | -- |
PCIe version | 3.0 | |
PCIe lanes | 16 | |
14 nm | Technology | 14 nm |
N/A | Socket | BGA 1310 |
TDP | 25 W | |
None | Virtualization | VT-x, VT-x EPT, VT-d |
Q1/2018 | Release date | Q3/2017 |
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.