Which to select
It is time to pick the winner. What is the difference between Intel Celeron G5900E vs Intel Core i9-10900KF? What CPU is more powerful? It is quite easy to determine – look at comparison table. The processor with more cores/ threads and also with higher frequency is the absolute winner!
CPU Cores and Base Frequency
Who will win between Intel Celeron G5900E vs Intel Core i9-10900KF. The general performance of a CPU can easily be determined based on the number of its cores and the thread count, as well as the base frequency and Turbo frequency. The more GHz and cores a CPU has, the better. Please note that high technical specs require using a powerful cooling system.
CPU generation and family
Some manufacturers complement their CPUs with graphic chips, such a solution being especially popular in laptops. The higher the clock frequency of a GPU is and the bigger its memory, the better. Find a winner - Intel Celeron G5900E vs Intel Core i9-10900KF.
Hardware codec support
Here we deal with specs that are used by some CPU manufacturers. These numbers are mainly technical and can be neglected for the purpose of the comparison analysis.
Memory & PCIe
These are memory standards supported by CPUs. The higher such standards, the better a CPU’s performance is.
Data encryption support
Memory & AMP; PCIe
The thermal design power (TDP), sometimes called thermal design point, is the maximum amount of heat generated by a computer chip or component (often a CPU, GPU or system on a chip) that the cooling system in a computer is designed to dissipate under any workload.
Devices using this processor
You probably know already what devices use CPUs. These can be a desktop or a laptop.
It is the updated version of the Cinebench R15 benchmark. This version provides improved benchmark accuracy at testing of processors. Cinebench R20 is based on Cinema 4 Suite. It is the software used to create 3D forms. The benchmark runs for single-core test procedure without counting of hyperthreading ability.
It is the new version of the benchmark which is developed on the basis of Cinebench R15 (both versions are operated on the basis of Cinema 4 - the most popular 3D modeling software). Cinebench R20 is used for multi-core processor performance benchmark tests and hyperthreading ability.
It is the updated version of Cinebench 11.5. As all new versions, the updated benchmark is based on Cinema 4 Suite software. The latter is used for creation of 3D models and forms. Cinebench R15 is used for single-core processor performance benchmark test. The hyperthreading ability doesn't count.
This benchmark is the updated version of the Cinebench 11.5 which is based on Cinema 4 Suite soft (it is widely used for 3D production). Cinebench R15 can be used for multi-core processor performance benchmark testing. The test produces precise and accurate results.
This test serves for determining the performance of integrated graphics in Intel and AMD processors. The result is the estimated computing power in the Single-Precision FP32 mode. The computing power in games can vary despite the differences in the capacity of videocards.
Geekbench 5 benchmark is the newest software suit. It allows to account for the effect of memory performance on processor performance. Completely new algorithms provide the quite accurate benchmark testing results of the single-core CPU.
Geekbench 5 software suite shows benchmark testing results of the memory performance and speed of the multi-core processor. The higher the GeekBench score, the better processor. Here the hyperthreading ability is counted.
We use Blender benchmark to trace performance of the central processing unit. Blender is the software for professional rendering and creating of 3D bodies which can also be animated. The testing results show you how fast the unit runs on the implementation of the multi-processing tasks. Here everything works on the principle that the faster rendering for 3D scenes, the better.
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. Tested with XMRig v6.x under the operation system HiveOS.