Apple iPhone 5 4" (2012)
Technical data and benchmarks

Apple iPhone 5 4

Device
Colours: Black / Slate, White / Silver
Price from: 649 $
Release date: Q3/2012

Processor
Name: Apple A6
Manufacturer: Apple
Cores / Threads: 2 / 2
Frequency: 1.30 GHz
Structure: 32 nm
Architecture: A6
Release date: Q3/2012

Memory
Memory Size: 1 GB
Memory Type: LPDDR2 1066
Memory Bandwith: 8.5 GB/s
Upgradeable? No

Graphic card
Name: PowerVR SGX543MP3
Type: Internal
Frequency: 0.27 GHz
Memory Size: 0.50 GB
Memory Type: LPDDR2
Structure: 32 nm
Release date: Q3/2012

Screen
Size: 4.0 inch
Resolution: 1136 x 640 @ 60 Hz (326 ppi)
Ratio: --
Technology: IPS
Brightness: 500 nits
HDR support: No
Always On Display: No
1. external display: --
2. external display: --
3. external display: --

Storage
Size: 16 - 64 GB
Type: eMMC
Interface:
Upgradeable? No
2. drive: --
Card reader: --

Battery
Type: Lithium-Ion
Capacity: 5.45 Wh
Battery life: 40.00 h
Charging: Lightning-Port

Network
Wireless LAN: 802.11 a/b/g/n
LAN: --
Bluetooth: Bluetooth 4.0
Cellular: 4G (LTE)

Camera
Front camera: --
Wide: 8.0 MP, 1080p @ 30 Hz
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Ports
HDMI: --
DVI: --
DisplayPort: --
Thunderbolt: --
USB: --
USB-C: --
Lightning: 1x
Other: --

Dimensions / Housing
Height: 124 mm
Width: 59 mm
Depth: 8 mm
Weight: 112 g
Housing Material: Aluminum
Glas Type: --
IP Protection Class: --

Additional data
Part-no: A1428, A1429, A1442
Ident-No: iPhone5,1 / iPhone5,2
EMC-No: 2610
Security features: --

Benchmark results

FP32 Performance (Single-precision TFLOPS) - FP32 (TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS. TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second. The larger this number, the faster the graphics card is.

View all FP32 Performance (Single-precision TFLOPS) benchmark results



More benchmarks for
Apple iPhone 5 4" (2012)

In order to determine the performance of a computer or a component in it, so-called "benchmarks" are carried out. The benchmark software carries out special calculations and measures the time it takes for the computer to complete the calculations. Since the benchmarks always run the same, the performance of several computers can be reliably compared with one another.

For this we use so-called theoretical or synthetic benchmarks such as Geekbench or Cinebench, as these support both x86 and ARM instruction sets in the current versions. We guarantee real comparability of the results by ensuring that the benchmarks are executed identically and correctly as well as by the condition of the system.

We currently use the following benchmarks to assess the performance of the products listed on our website:
FP32 GPU-Performance
FP32 GPU-Performance
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