| Google Tensor | Intel Celeron E3300 | |
| 10 W | Max TDP | 65 W |
| 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 |
Google Tensor vs Intel Celeron E3300
The Google Tensor operates with 8 cores and 8 CPU threads. It run at 1.80 GHz (2.80 GHz) base -- all cores while the TDP is set at 10 W.The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support LPDDR5-5500 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, G1 Architecture is enhanced with 5 nm technology and supports None. The product was launched on Q4/2021
The Intel Celeron E3300 operates with 2 cores and 8 CPU threads. It run at -- base -- all cores while the TDP is set at 65 W.The processor is attached to the LGA 775 CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support DDR2-800DDR3-1066 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Wolfdale (Penryn) Architecture is enhanced with 45 nm technology and supports VT-x. The product was launched on Q3/2009
Intel Celeron E3300
Compare Detail
| 1.80 GHz (2.80 GHz) | Frequency | 2.50 GHz |
| 8 | Cores | 2 |
| 1.80 GHz (2.80 GHz) | Turbo (1 Core) | -- |
| -- | Turbo (All Cores) | -- |
 No |
Hyperthreading | No |
| No |
Overclocking | Yes  |
| hybrid (Prime / big.LITTLE) | Core Architecture | normal |
| ARM Mali-G78 MP20 | GPU | no iGPU |
| No turbo | GPU (Turbo) | No turbo |
| 5 nm | Technology | 45 nm |
| No turbo | GPU (Turbo) | No turbo |
| 12 | DirectX Version | |
| 1 | Max. displays | |
| LPDDR5-5500 | Memory | DDR2-800DDR3-1066 |
| 2 | Memory channels | 2 |
| Max memory | ||
| No |
ECC | No |
| 8.00 MB | L2 Cache | 1.00 MB |
| -- | L3 Cache | -- |
| PCIe version | ||
| PCIe lanes | ||
| 5 nm | Technology | 45 nm |
| N/A | Socket | LGA 775 |
| 10 W | TDP | 65 W |
| None | Virtualization | VT-x |
| Q4/2021 | Release date | Q3/2009 |
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.
Google Tensor
1,049 (47%)
Intel Celeron E3300
350 (15%)
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.
Google Tensor
2,916 (6%)
Intel Celeron E3300
603 (1%)
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.
Google Tensor
1,944 (9%)
Intel Celeron E3300
(0%)
Geekbench 3, 64bit (Single-Core)
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.
Google Tensor
4,572 (66%)
Intel Celeron E3300
(0%)
Geekbench 3, 64bit (Multi-Core)
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.
Google Tensor
12,597 (13%)
Intel Celeron E3300
(0%)
Estimated results for PassMark CPU Mark
Some of the CPUs listed below have been benchmarked by CPU-Comparison. However the majority of CPUs have not been tested and the results have been estimated by a CPU-Comparison’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
Google Tensor
(0%)
Intel Celeron E3300
838 (1%)
Electric Usage Estimate
Electric Usage Estimate
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