The processor Google Tensor is developed on the 5 nm technology node and architecture G1. Its base clock speed is 1.80 GHz (2.80 GHz), and maximum clock speed in turbo boost - --. Google Tensor contains 8 processing cores. To make a right choice for computer upgrading, please get familiar with the detailed technical specifications and benchmark results. Check socket compatibility before choosing.
 CPU Cores and Base Frequency |
||||
|---|---|---|---|---|
| Frequency | 1.80 GHz (2.80 GHz) | Cores | 8 | |
| Turbo (1 Core) | 1.80 GHz (2.80 GHz) | CPU Threads | 8 | |
| Turbo (All Cores) | -- | |||
| Hyperthreading ? | No | Overclocking ? | No | |
| Core architecture | hybrid (Prime / big.LITTLE) | |||
 Internal Graphics |
|
|---|---|
| GPU name | ARM Mali-G78 MP20 |
| GPU frequency | 0.76 GHz |
| GPU (Turbo) | No turbo |
| Generation | |
| DirectX Version | 12 |
| Execution units | 20 |
| Shader | 320 |
| Max. Memory | -- |
| Max. displays | 1 |
| Technology | 5 nm |
| Release date | Q4/2021 |
 Hardware codec support
|
|
|---|---|
| H264 | Decode / Encode |
| H265 / HEVC (8 bit) | Decode / Encode |
| H265 / HEVC (10 bit) | Decode / Encode |
| VP8 | Decode / Encode |
| VP9 | Decode / Encode |
| AV1 | Decode |
| AV1 | Decode |
| AVC | Decode / Encode |
| JPEG | Decode / Encode |
 Memory & PCIe
| ||||
|---|---|---|---|---|
| Memory type | LPDDR5-5500 | |||
| Max. Memory | 12 GB | |||
| Memory channels | 2 | ECC | No | |
| PCIe version | PCIe lanes | |||
 Thermal Management
| ||||
|---|---|---|---|---|
| TDP (PL1) | 10 W | TDP (PL2) | ||
| TDP up | -- | TDP down | -- | |
| Tjunction max | -- | |||
 Technical details
| |
|---|---|
| Instruction set (ISA) | ARMv8-A64 (64 bit) |
| Architecture | G1 |
| L2-Cache | 8.00 MB |
| L3-Cache | -- |
| Technology | 5 nm |
| Virtualization | None |
| Release date | Q4/2021 |
| Socket | N/A |
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.
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.
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.
Geekbench 3 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.
Geekbench 3 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.
