Samsung Exynos 3470 vs Qualcomm Snapdragon 8c
Last updated:
CPU comparison with benchmarks
|
 |
|
| Samsung Exynos 3470 | Qualcomm Snapdragon 8c | |
CPU comparisonSamsung Exynos 3470 or Qualcomm Snapdragon 8c - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.
The Samsung Exynos 3470 has 4 cores with 4 threads and clocks with a maximum frequency of 1.40 GHz. Up to GB of memory is supported in 0 memory channels. The Samsung Exynos 3470 was released in Q1/2014. The Qualcomm Snapdragon 8c has 8 cores with 8 threads and clocks with a maximum frequency of 2.45 GHz. The CPU supports up to 16 GB of memory in 4 memory channels. The Qualcomm Snapdragon 8c was released in Q4/2019. |
||
| Samsung Exynos (46) | Family | Qualcomm Snapdragon (102) |
| Samsung Exynos 3400 (2) | CPU group | Qualcomm Snapdragon 8c (1) |
| 3 | Generation | 1 |
| Cortex-A7 | Architecture | Kryo 490 |
| Mobile | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | -- |
|
|
||
CPU Cores and Base FrequencyThe Samsung Exynos 3470 has 4 CPU cores and can calculate 4 threads in parallel. The clock frequency of the Samsung Exynos 3470 is 1.40 GHz while the Qualcomm Snapdragon 8c has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Qualcomm Snapdragon 8c is at 2.45 GHz. |
||
| Samsung Exynos 3470 | Characteristic | Qualcomm Snapdragon 8c |
| 4 | Cores | 8 |
| 4 | Threads | 8 |
| normal | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 1.40 GHz 4x Cortex-A7 |
A-Core | 2.45 GHz 4x Kryo 490 Gold |
| -- | B-Core | 1.80 GHz 4x Kryo 490 Silver |
Artificial Intelligence and Machine LearningProcessors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor. |
||
| Samsung Exynos 3470 | Characteristic | Qualcomm Snapdragon 8c |
| -- | AI hardware | Qualcomm AI engine |
| -- | AI specifications | Hexagon 690 @ 7 TOPS |
Internal GraphicsThe Samsung Exynos 3470 or Qualcomm Snapdragon 8c has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die. |
||
| ARM Mali-400 MP4 | GPU | Qualcomm Adreno 675 |
| 0.45 GHz | GPU frequency | 0.25 GHz |
| -- | GPU (Turbo) | 0.59 GHz |
| Utgard | GPU Generation | 5 |
| 28nm | Technology | 7 nm |
| 1 | Max. displays | 1 |
| 4 | Compute units | 7 |
| 64 | Shader | 672 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 4 GB |
| 0 | DirectX Version | 12.0 |
Hardware codec supportA photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos. |
||
| ARM Mali-400 MP4 | GPU | Qualcomm Adreno 675 |
| No | Codec h265 / HEVC (8 bit) | Decode |
| No | Codec h265 / HEVC (10 bit) | Decode |
| No | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode |
| No | Codec VP8 | Decode / Encode |
| No | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Samsung Exynos 3470 can use up to GB of memory in 0 memory channels. The maximum memory bandwidth is --. The Qualcomm Snapdragon 8c supports up to 16 GB of memory in 4 memory channels and achieves a memory bandwidth of up to 34.1 GB/s. |
||
| Samsung Exynos 3470 | Characteristic | Qualcomm Snapdragon 8c |
| LPDDR3-400 | Memory | LPDDR4X-4266 |
| Max. Memory | 16 GB | |
| 0 | Memory channels | 4 (Quad Channel) |
| -- | Max. Bandwidth | 34.1 GB/s |
| No | ECC | No |
| -- | L2 Cache | 2.00 MB |
| -- | L3 Cache | 3.00 MB |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Samsung Exynos 3470 is --, while the Qualcomm Snapdragon 8c has a TDP of 7 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
||
| Samsung Exynos 3470 | Characteristic | Qualcomm Snapdragon 8c |
| -- | TDP (PL1 / PBP) | 7 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 3470 is manufactured in 28 nm and has 0.00 MB cache. The Qualcomm Snapdragon 8c is manufactured in 7 nm and has a 5.00 MB cache. |
||
| Samsung Exynos 3470 | Characteristic | Qualcomm Snapdragon 8c |
| 28 nm | Technology | 7 nm |
| Unknown | Chip design | Chiplet |
| Armv7-A (32 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
| -- | ISA extensions | -- |
| -- | Socket | -- |
| None | Virtualization | None |
| No | AES-NI | No |
| Android | Operating systems | Android, Windows 10 (ARM) |
| Q1/2014 | Release date | Q4/2019 |
| -- | Release price | -- |
| show more data | show more data | |
|
4C 4T @ 1.40 GHz buy now on Amazon and save!
8C 8T @ 2.45 GHz buy now on Amazon and save!
|
||
Rate these processors
Average performance in benchmarks
⌀ Single core performance in 1 CPU benchmarks
⌀ Multi core performance in 1 CPU benchmarks
Geekbench 5, 64bit (Single-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
|
Samsung Exynos 3470
4C 4T @ 1.40 GHz |
||
|
Qualcomm Snapdragon 8c
8C 8T @ 2.45 GHz |
||
Geekbench 5, 64bit (Multi-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
|
|
Samsung Exynos 3470
4C 4T @ 1.40 GHz |
||
|
|
Qualcomm Snapdragon 8c
8C 8T @ 2.45 GHz |
||
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 3470
ARM Mali-400 MP4 @ 0.45 GHz |
||
|
|
Qualcomm Snapdragon 8c
Qualcomm Adreno 675 @ 0.59 GHz |
||
Performance for Artificial Intelligence (AI) and Machine Learning (ML)
Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
|
|
Samsung Exynos 3470
4C 4T @ 1.40 GHz |
||
|
|
Qualcomm Snapdragon 8c
8C 8T @ 2.45 GHz |
||
Devices using this processor |
|
| Samsung Exynos 3470 | Qualcomm Snapdragon 8c |
| Unknown | Unknown |
Popular comparisons containing this CPUs
back to index
