Google Tensor | Qualcomm Snapdragon 636 | |
CPU comparisonGoogle Tensor or Qualcomm Snapdragon 636 - 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 Google Tensor has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor was released in Q4/2021. The Qualcomm Snapdragon 636 has 8 cores with 8 threads and clocks with a maximum frequency of 1.80 GHz. The CPU supports up to 8 GB of memory in 2 memory channels. The Qualcomm Snapdragon 636 was released in Q4/2017. |
||
Google Tensor (3) | Family | Qualcomm Snapdragon (104) |
Google Tensor (1) | CPU group | Qualcomm Snapdragon 636 (1) |
1 | Generation | 5 |
G1 | Architecture | Kryo 260 |
Mobile | Segment | Mobile |
-- | Predecessor | -- |
Google Tensor G2 | Successor | -- |
|
||
CPU Cores and Base FrequencyThe Google Tensor has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor is 2.80 GHz while the Qualcomm Snapdragon 636 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Qualcomm Snapdragon 636 is at 1.80 GHz. |
||
Google Tensor | Characteristic | Qualcomm Snapdragon 636 |
8 | Cores | 8 |
8 | Threads | 8 |
hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.80 GHz 2x Cortex-X1 |
A-Core | 1.80 GHz 4x Kryo 260 Gold |
2.25 GHz 2x Cortex-A76 |
B-Core | 1.60 GHz 4x Kryo 260 Silver |
1.80 GHz 4x Cortex-A55 |
C-Core | -- |
NPU AI performanceThe performance values of the processor's AI unit. The isolated NPU performance is specified here, the total AI performance (NPU+CPU+iGPU) can be higher. Processors with support for artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. |
||
Google Tensor | Characteristic | Qualcomm Snapdragon 636 |
Google Tensor AI | AI hardware | Qualcomm AI engine |
Google Edge TPU @ 1.6 TOPS | AI specifications | Hexagon DSP |
-- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Google Tensor or Qualcomm Snapdragon 636 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-G78 MP20 | GPU | Qualcomm Adreno 509 |
0.76 GHz | GPU frequency | 0.72 GHz |
-- | GPU (Turbo) | 0.72 GHz |
Vallhall 2 | GPU Generation | 5 |
5 nm | Technology | 14 nm |
1 | Max. displays | 0 |
20 | Compute units | -- |
320 | Shader | 128 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | -- |
12 | DirectX Version | 12.1 |
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-G78 MP20 | GPU | Qualcomm Adreno 509 |
Decode / Encode | Codec h265 / HEVC (8 bit) | Decode |
Decode / Encode | Codec h265 / HEVC (10 bit) | No |
Decode / Encode | Codec h264 | Decode |
Decode / Encode | Codec VP9 | Decode |
Decode / Encode | Codec VP8 | Decode |
Decode | Codec AV1 | No |
Decode / Encode | Codec AVC | No |
Decode / Encode | Codec VC-1 | Decode |
Decode / Encode | Codec JPEG | Decode |
Memory & PCIeThe Google Tensor can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Qualcomm Snapdragon 636 supports up to 8 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 10.6 GB/s. |
||
Google Tensor | Characteristic | Qualcomm Snapdragon 636 |
LPDDR5-5500 | Memory | |
12 GB | Max. Memory | 8 GB |
2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
53.0 GB/s | Max. Bandwidth | 10.6 GB/s |
No | ECC | No |
8.00 MB | L2 Cache | -- |
-- | L3 Cache | -- |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Google Tensor is 10 W, while the Qualcomm Snapdragon 636 has a TDP of --. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
||
Google Tensor | Characteristic | Qualcomm Snapdragon 636 |
10 W | TDP (PL1 / PBP) | -- |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Google Tensor is manufactured in 5 nm and has 8.00 MB cache. The Qualcomm Snapdragon 636 is manufactured in 14 nm and has a 0.00 MB cache. |
||
Google Tensor | Characteristic | Qualcomm Snapdragon 636 |
5 nm | Technology | 14 nm |
Unknown | Chip design | Chiplet |
Armv8-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
-- | ISA extensions | -- |
-- | Socket | -- |
None | Virtualization | None |
No | AES-NI | No |
Android | Operating systems | Android |
Q4/2021 | Release date | Q4/2017 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz |
|||
Qualcomm Snapdragon 636
Qualcomm Adreno 509 @ 0.72 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
|||
Qualcomm Snapdragon 636
8C 8T @ 1.80 GHz |
Devices using this processor |
|
Google Tensor | Qualcomm Snapdragon 636 |
Google Pixel 6 Google Pixel 6 Pro |
Unknown |