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AMD E-350D vs. AMD Ryzen 9 3900


Cpu Benchmark with benchmarks

AMD E-350D
AMD Ryzen 9 3900
AMD E-350D AMD Ryzen 9 3900
1.60 GHz Frequency 3.10 GHz
-- Turbo (1 Core) 4.30 GHz
-- Turbo (All Cores) --
2 Cores 12
No Hyperthreading ? Yes
No Overclocking ? Yes
normal Core architecture normal
AMD Radeon HD 6310 GPU no iGPU
11 DirectX Version
2 Max. displays
DDR3-1600 Memory DDR4-3200
1 Memory channels 2
Max. Memory 128 GB
No ECC No
-- L2 Cache --
1.00 MB L3 Cache 64.00 MB
PCIe version 4.0
PCIe lanes 20
32 nm Technology 7 nm
BGA 413 Socket AM4 (LGA 1331)
18 W TDP 65 W
AMD-V Virtualization AMD-V, SVM
Q3/2010 Release date Q3/2019
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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.

AMD E-350D (0%)
0% Complete
AMD Ryzen 9 3900 1281 (58%)
58% Complete

Cinebench R23 (Multi-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 multi-core test involves all CPU cores and taks a big advantage of hyperthreading.

AMD E-350D (0%)
0% Complete
AMD Ryzen 9 3900 16555 (25%)
25% 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.

AMD E-350D (0%)
0% Complete
AMD Ryzen 9 3900 1194 (53%)
53% 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.

AMD E-350D (0%)
0% Complete
AMD Ryzen 9 3900 10974 (22%)
22% 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.

AMD E-350D 79 (0%)
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.

AMD E-350D 654 (9%)
9% Complete
AMD Ryzen 9 3900 6918 (100%)
100% 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.

AMD E-350D 1209 (1%)
1% Complete
AMD Ryzen 9 3900 77286 (81%)
81% 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.

AMD E-350D 696 (1%)
1% Complete
AMD Ryzen 9 3900 30924 (29%)
29% 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

AMD E-350D (0%)
0% Complete
AMD Ryzen 9 3900 13 (14%)
14% Complete
AMD E-350D vs. AMD Ryzen 9 3900 - Cpu Benchmark Specs & Test
4.8 of 37 rating(s)
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