Intel Core i9-10900 | Intel Atom Z3560 | |
65 W | Max TDP | |
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 |
Intel Core i9-10900 vs Intel Atom Z3560
The Intel Core i9-10900 operates with 10 cores and 20 CPU threads. It run at 5.20 GHz base 4.60 GHz all cores while the TDP is set at 65 W.The processor is attached to the LGA 1200 CPU socket. This version includes 20.00 MB of L3 cache on one chip, supports 2 memory channels to support DDR4-2933 RAM and features 3.0 PCIe Gen 16 lanes. Tjunction keeps below 100 °C degrees C. In particular, Comet Lake S Architecture is enhanced with 14 nm technology and supports VT-x, VT-x EPT, VT-d. The product was launched on Q2/2020
The Intel Atom Z3560 operates with 4 cores and 20 CPU threads. It run at -- base -- all cores while the TDP is set at .The processor is attached to the FC-MB5T1064 CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support LPDDR3-1600 RAM and features PCIe Gen lanes. Tjunction keeps below 90 °C degrees C. In particular, Moorefield Architecture is enhanced with 22 nm technology and supports Intel VT-x. The product was launched on Q2/2014
Intel Core i9-10900
Intel Atom Z3560
Compare Detail
2.80 GHz | Frequency | 1.83 GHz |
10 | Cores | 4 |
5.20 GHz | Turbo (1 Core) | -- |
4.60 GHz | Turbo (All Cores) | -- |
Yes | Hyperthreading | No |
No | Overclocking | No |
normal | Core Architecture | normal |
Intel UHD Graphics 630 | GPU | PowerVR G6430 |
1.20 GHz | GPU (Turbo) | 0.53 GHz |
14 nm | Technology | 22 nm |
1.20 GHz | GPU (Turbo) | 0.53 GHz |
12 | DirectX Version | |
3 | Max. displays | 2 |
DDR4-2933 | Memory | LPDDR3-1600 |
2 | Memory channels | 2 |
Max memory | ||
No | ECC | No |
-- | L2 Cache | 2.00 MB |
20.00 MB | L3 Cache | -- |
3.0 | PCIe version | |
16 | PCIe lanes | |
14 nm | Technology | 22 nm |
LGA 1200 | Socket | FC-MB5T1064 |
65 W | TDP | |
VT-x, VT-x EPT, VT-d | Virtualization | Intel VT-x |
Q2/2020 | Release date | Q2/2014 |
Cinebench R23 (Single-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Cinebench R20 (Single-Core)
Cinebench R20 is the successor of Cinebench R15 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Cinebench R20 (Multi-Core)
Cinebench R20 is the successor of Cinebench R15 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
Cinebench R15 (Single-Core)
Cinebench R15 is the successor of Cinebench 11.5 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Cinebench R15 (Multi-Core)
Cinebench R15 is the successor of Cinebench 11.5 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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.
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.
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.
Monero Hashrate kH/s
The crypto currency Monero has been using the RandomX algorithm since November 2019. This PoW (proof of work) algorithm can only efficiently be calculated using a processor (CPU) or a graphics card (GPU). The CryptoNight algorithm was used for Monero until November 2019, but it could be calculated using ASICs. RandomX benefits from a high number of CPU cores, cache and a fast connection of the memory via as many memory channels as possible