HiSilicon Kirin 650

HiSilicon Kirin 650
The HiSilicon Kirin 650 operates with:

CPU Cores 8.

CPU Threads: 8.

Performance-enhancing, system-enhancing technology that works faster and saves battery with:

Turbo: 2.00 GHz base 2.00 GHz all cores.

TDP: .

The processor is attached to:

CPU socket: N/A.

This version includes

-- of L3 cache on one chip

Supports 2 memory channels to support LPDDR3-933 RAM and features PCIe Gen lanes.

Tjunction keeps below -- degrees C.

In particular, Cortex-A53 / Cortex-A53 Architecture is enhanced with:

Technology: 16 nm

Virtualization None.

The product was released on Q2/2016.

Compare with other CPU

REVIEW

CPU generation and family

HiSilicon Kirin 650
HiSilicon Kirin
HiSilicon Kirin 650
--
Mobile
--

CPU Cores and Base Frequency

1.70 GHz
2.00 GHz
No
hybrid (big.LITTLE)
8
No

Memory & PCIe

LPDDR3-933
2

Encryption

No uncheck

Internal Graphics

LPDDR3-933
0.90 GHz
0.90 GHz
11
2
32
2
16 nm
Q4/2015

Technical details

ARMv8-A64 (64 bit)
Cortex-A53 / Cortex-A53
--
None
--
Q2/2016
N/A

Thermal Management

--
--

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 E2-6110 167 (9%)
9% Complete
9% Complete
9% Complete
9% Complete
8% Complete
8% Complete
AMD E1-2500 150 (8%)
8% 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.

2% Complete
AMD A6-3500 766 (2%)
2% Complete
AMD A8-7100 766 (2%)
2% Complete
2% Complete
2% Complete
2% Complete
AMD A8-3500M 751 (2%)
2% 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
0% Complete
0% Complete
0% Complete
0% Complete
0% Complete