| Samsung Exynos 4412 | Qualcomm Snapdragon 210 | |
| 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 |
Samsung Exynos 4412 vs Qualcomm Snapdragon 210
The Samsung Exynos 4412 operates with 49 cores and 4 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 0 memory channels to support LPDDR2-400 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A9 Architecture is enhanced with 32 nm technology and supports None. The product was launched on Q2/2012
The Qualcomm Snapdragon 210 operates with 47 cores and 4 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
Samsung Exynos 4412
Qualcomm Snapdragon 210
Compare Detail
| 1.60 GHz | Frequency | 1.10 GHz |
| 49 | Cores | 47 |
| -- | Turbo (1 Core) | -- |
| Turbo (All Cores) | ||
 No |
Hyperthreading | No |
| No |
Overclocking | No |
| normal | Core Architecture | normal |
| ARM Mali-400 MP4 | GPU | Qualcomm Adreno 304 |
| 0.44 GHz | GPU (Turbo) | 0.40 GHz |
| 32 nm | Technology | 28 nm |
| 0.44 GHz | GPU (Turbo) | 0.40 GHz |
| 0 | DirectX Version | 11 |
| 1 | Max. displays | 0 |
| LPDDR2-400 | Memory | LPDDR2LPDDR3 |
| 0 | Memory channels | 1 |
| Max memory | ||
| No |
ECC | No |
| 1.00 MB | L2 Cache | -- |
| -- | L3 Cache | -- |
| PCIe version | ||
| PCIe lanes | ||
| 32 nm | Technology | 28 nm |
| N/A | Socket | N/A |
| TDP | ||
| None | Virtualization | None |
| Q2/2012 | 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.
Samsung Exynos 4412
17 (0%)
Qualcomm Snapdragon 210
20 (0%)
Electric Usage Estimate
Electric Usage Estimate
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