Intel Pentium T2390 | Google Tensor G2 | |
CPU comparisonIntel Pentium T2390 or Google Tensor G2 - 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 Intel Pentium T2390 has 2 cores with 2 threads and clocks with a maximum frequency of 1.86 GHz. Up to 8 GB of memory is supported in 2 memory channels. The Intel Pentium T2390 was released in Q1/2008. The Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G2 was released in Q4/2022. |
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Intel Pentium (150) | Family | Google Tensor (3) |
Intel Pentium T2000/T3000 (7) | CPU group | Google Tensor G2 (1) |
1 | Generation | 2 |
Merom (Core) | Architecture | G2 |
Mobile | Segment | Mobile |
-- | Predecessor | Google Tensor |
-- | Successor | -- |
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CPU Cores and Base FrequencyThe Intel Pentium T2390 has 2 CPU cores and can calculate 2 threads in parallel. The clock frequency of the Intel Pentium T2390 is 1.86 GHz while the Google Tensor G2 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G2 is at 2.85 GHz. |
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Intel Pentium T2390 | Characteristic | Google Tensor G2 |
2 | Cores | 8 |
2 | Threads | 8 |
normal | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
1.86 GHz 2x Core |
A-Core | 2.85 GHz 2x Cortex-X1 |
-- | B-Core | 2.35 GHz 2x Cortex-A78 |
-- | C-Core | 1.80 GHz 4x Cortex-A55 |
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. |
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Intel Pentium T2390 | Characteristic | Google Tensor G2 |
-- | AI hardware | Google Tensor AI |
-- | AI specifications | Google Edge TPU @ 4 TOPS |
-- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Intel Pentium T2390 or Google Tensor G2 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. |
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no iGPU | GPU | ARM Mali-G710 MP7 |
GPU frequency | 0.90 GHz | |
-- | GPU (Turbo) | -- |
-- | GPU Generation | Vallhall 3 |
Technology | 4 nm | |
Max. displays | 1 | |
-- | Compute units | 7 |
-- | Shader | -- |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | -- |
-- | DirectX Version | 12 |
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. |
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no iGPU | GPU | ARM Mali-G710 MP7 |
No | Codec h265 / HEVC (8 bit) | Decode / Encode |
No | Codec h265 / HEVC (10 bit) | Decode / Encode |
No | Codec h264 | Decode / Encode |
No | Codec VP9 | Decode / Encode |
No | Codec VP8 | Decode / Encode |
No | Codec AV1 | Decode |
No | Codec AVC | Decode / Encode |
No | Codec VC-1 | Decode / Encode |
No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Intel Pentium T2390 can use up to 8 GB of memory in 2 memory channels. The maximum memory bandwidth is 12.8 GB/s. The Google Tensor G2 supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s. |
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Intel Pentium T2390 | Characteristic | Google Tensor G2 |
DDR2-800 | Memory | LPDDR5-5500 |
8 GB | Max. Memory | 12 GB |
2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
12.8 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
1.00 MB | L2 Cache | 8.00 MB |
-- | L3 Cache | 4.00 MB |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Intel Pentium T2390 is 35 W, while the Google Tensor G2 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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Intel Pentium T2390 | Characteristic | Google Tensor G2 |
35 W | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
100 °C | Tjunction max. | -- |
Technical detailsThe Intel Pentium T2390 is manufactured in 65 nm and has 1.00 MB cache. The Google Tensor G2 is manufactured in 4 nm and has a 12.00 MB cache. |
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Intel Pentium T2390 | Characteristic | Google Tensor G2 |
65 nm | Technology | 4 nm |
Monolithic | Chip design | Chiplet |
x86-64 (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
MMX, SSE, SSE2, SSE3 | ISA extensions | -- |
PGA 478 | Socket | -- |
VT-x | Virtualization | None |
No | AES-NI | No |
Windows 10, Linux | Operating systems | Android |
Q1/2008 | Release date | Q4/2022 |
-- | Release price | -- |
show more data | show more data | |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
@ 0.00 GHz |
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Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Intel Pentium T2390
2C 2T @ 1.86 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Devices using this processor |
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Intel Pentium T2390 | Google Tensor G2 |
Unknown | Google Pixel 7 Google Pixel 7 Pro |