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Intel Core i5-11600 vs. Intel Core i5-2410M


Cpu Benchmark with benchmarks

Intel Core i5-11600
Intel Core i5-2410M
Intel Core i5-11600 Intel Core i5-2410M
2.80 GHz Frequency 2.30 GHz
4.80 GHz Turbo (1 Core) 2.90 GHz
-- Turbo (All Cores) --
6 Cores 2
Yes Hyperthreading ? Yes
No Overclocking ? No
normal Core architecture normal
Intel UHD Graphics 750 GPU Intel HD Graphics 3000
12 DirectX Version 10.1
3 Max. displays 2
DDR4-3200 Memory DDR3-1066DDR3-1333
2 Memory channels 2
128 GB Max. Memory 16 GB
No ECC No
3.00 MB L2 Cache --
12.00 MB L3 Cache 3.00 MB
4.0 PCIe version 2
20 PCIe lanes 16
14 nm Technology 32 nm
LGA 1200 Socket BGA 1023
65 W TDP 35 W
VT-x, VT-x EPT, VT-d Virtualization VT-x, VT-x EPT
Q1/2021 Release date Q1/2011
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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.

Intel Core i5-11600 1508 (69%)
69% Complete
0% Complete

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.

Intel Core i5-11600 1561 (70%)
70% Complete
0% Complete

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.

Intel Core i5-11600 7422 (15%)
15% Complete
0% Complete

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.

3% Complete
1% Complete

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

4% Complete
0% Complete
Intel Core i5-11600 vs. Intel Core i5-2410M - Cpu Benchmark Specs & Test
4.2 of 44 rating(s)
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