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Intel Celeron 1000M vs. AMD Ryzen 5 3500


Cpu Benchmark with benchmarks

Intel Celeron 1000M
AMD Ryzen 5 3500
Intel Celeron 1000M AMD Ryzen 5 3500
1.80 GHz Frequency 3.60 GHz
-- Turbo (1 Core) 4.10 GHz
-- Turbo (All Cores) 4.00 GHz
2 Cores 6
No Hyperthreading ? No
No Overclocking ? Yes
normal Core architecture normal
Intel HD Graphics (Ivy Bridge GT1) GPU no iGPU
11.0 DirectX Version
3 Max. displays
DDR3-1333DDR3-1600DDR3L-1333 SO-DIMMDDR3L-1600 SO-DIMM Memory DDR4-3200
2 Memory channels 2
32 GB Max. Memory 64 GB
No ECC Yes
-- L2 Cache --
2.00 MB L3 Cache 32.00 MB
2.0 PCIe version 4.0
16 PCIe lanes 20
22 nm Technology 7 nm
PGA 988 Socket AM4 (LGA 1331)
35 W TDP 65 W
VT-x, VT-x EPT, VT-d Virtualization AMD-V, SVM
Q1/2013 Release date Q4/2019
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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.

0% Complete
AMD Ryzen 5 3500 464 (53%)
53% Complete

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.

0% Complete
AMD Ryzen 5 3500 2652 (10%)
10% Complete

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.

0% Complete
AMD Ryzen 5 3500 188 (57%)
57% Complete

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.

0% Complete
AMD Ryzen 5 3500 1129 (11%)
11% 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.

14% Complete
AMD Ryzen 5 3500 1137 (51%)
51% 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.

1% Complete
AMD Ryzen 5 3500 4816 (10%)
10% 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.

0% Complete
0% Complete

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.

Intel Celeron 1000M 1428 (21%)
21% Complete
0% Complete

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.

3% Complete
0% Complete

Estimated results for PassMark CPU Mark

Some of the CPUs listed below have been benchmarked by CPU-Benchmark. However the majority of CPUs have not been tested and the results have been estimated by a CPU-Benchmark’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.

2% Complete
AMD Ryzen 5 3500 12876 (12%)
12% 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

0% Complete
5% Complete
Intel Celeron 1000M vs. AMD Ryzen 5 3500 - Cpu Benchmark Specs & Test
4.0 of 42 rating(s)
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