| Qualcomm Snapdragon 208 | Samsung Exynos 5410 | |
| 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 |
Qualcomm Snapdragon 208 vs Samsung Exynos 5410
The Qualcomm Snapdragon 208 operates with 27 cores and 2 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 LPDDR2-400LPDDR3-400 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
The Samsung Exynos 5410 operates with 8 cores and 2 CPU threads. It run at 1.60 GHz base 1.20 GHz all cores while the TDP is set at .The processor is attached to the AM1 CPU socket. This version includes -- of L3 cache on one chip, supports 0 memory channels to support LPDDR3-800 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A15 / Cortex-A7 Architecture is enhanced with 28 nm technology and supports None. The product was launched on Q2/2013
Qualcomm Snapdragon 208
Samsung Exynos 5410
Compare Detail
| 1.10 GHz | Frequency | 1.60 GHz |
| 27 | Cores | 8 |
| -- | Turbo (1 Core) | 1.60 GHz |
| Turbo (All Cores) | 1.20 GHz | |
 No |
Hyperthreading | No |
| No |
Overclocking | No |
| normal | Core Architecture | hybrid (big.LITTLE) |
| Qualcomm Adreno 304 | GPU | PowerVR SGX544 MP3 |
| 0.40 GHz | GPU (Turbo) | 0.53 GHz |
| 28 nm | Technology | 28 nm |
| 0.40 GHz | GPU (Turbo) | 0.53 GHz |
| 11 | DirectX Version | 10.1 |
| 0 | Max. displays | 1 |
| LPDDR2-400LPDDR3-400 | Memory | LPDDR3-800 |
| 1 | Memory channels | 0 |
| Max memory | ||
| No |
ECC | No |
| -- | L2 Cache | 2.50 MB |
| -- | L3 Cache | -- |
| PCIe version | ||
| PCIe lanes | ||
| 28 nm | Technology | 28 nm |
| N/A | Socket | AM1 |
| TDP | ||
| None | Virtualization | None |
| 2014 | Release date | Q2/2013 |
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.
Qualcomm Snapdragon 208
20 (0%)
Samsung Exynos 5410
52 (0%)
Electric Usage Estimate
Electric Usage Estimate
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