Apple iPhone 13 Pro 6.1" (2021)
Technical data and benchmarks
Device |
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| Colours: | Graphite, Gold, Silver, Sierra Blue, Alpine Green |
| Price from: | 999 $ |
| Release date: | Q3/2021 |
Processor |
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| Name: | Apple A15 Bionic (5 Core GPU) |
| Manufacturer: | Apple |
| Cores / Threads: | 6 / 6 |
| Frequency: | 3.23 GHz |
| Structure: | 5 nm |
| Architecture: | A15 |
| Release date: | Q3/2021 |
Memory |
|
| Memory Size: | 6 GB |
| Memory Type: | LPDDR4X 4266 |
| Memory Bandwith: | 34.1 GB/s |
| Upgradeable? | No |
Graphic card |
|
| Name: | Apple A15 |
| Type: | Internal |
| Frequency: | 0.60 GHz |
| Memory Size: | 8.00 GB |
| Memory Type: | LPDDR4X |
| Structure: | 5 nm |
| Release date: | Q3/2021 |
Screen |
|
| Size: | 6.1 inch |
| Resolution: | 2532 x 1170 @ 120 Hz (460 ppi) |
| Ratio: | -- |
| Technology: | OLED |
| Brightness: | 1200 nits |
| HDR support: | Yes |
| Always On Display: | No |
| 1. external display: | -- |
| 2. external display: | -- |
| 3. external display: | -- |
Storage |
|
| Size: | 128 - 1,024 GB |
| Type: | eMMC |
| Interface: | |
| Upgradeable? | No |
| 2. drive: | -- |
| Card reader: | -- |
Battery |
|
| Type: | Lithium-Ion |
| Capacity: | 11.97 Wh |
| Battery life: | 75.00 h |
| Charging: | Lightning-Port (20 W), MagSafe (15 W), Qi (7.5 W) |
Network |
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| Wireless LAN: | 802.11ax (WLAN 6) |
| LAN: | -- |
| Bluetooth: | Bluetooth 5.0 |
| Cellular: | 5G |
Camera |
|
| Front camera: | 12.0 MP, 2160p @ 60 Hz |
| Wide: | 12.0 MP, 2160p @ 60 Hz |
| Ultra wide: | 12.0 MP, 2160p @ 60 Hz |
| Telephoto: | 12.0 MP, 2160p @ 60 Hz |
Ports |
|
| HDMI: | -- |
| DVI: | -- |
| DisplayPort: | -- |
| Thunderbolt: | -- |
| USB: | -- |
| USB-C: | -- |
| Lightning: | 1x |
| Other: | MagSafe |
Dimensions / Housing |
|
| Height: | 147 mm |
| Width: | 72 mm |
| Depth: | 8 mm |
| Weight: | 203 g |
| Housing Material: | Aluminum |
| Glas Type: | -- |
| IP Protection Class: | -- |
Additional data |
|
| Part-no: | A2483, A2636, A2638-A2640 |
| Ident-No: | iPhone14,2 |
| EMC-No: | 4000, 4002, 4033, 4034 |
| Security features: | Face ID |
Apple A15 Bionic (5 Core GPU), 6 GB LPDDR4X
Buy this product at amazon!
Benchmark results
Geekbench 6 - Single Core
Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.
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Apple iPad Pro 12.9" 5th Gen Wi-Fi / Cellular (2021)
8 - 16 GB LPDDR4X |
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Apple Mac mini M1 (2020)
8 - 16 GB LPDDR4X |
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Apple iPad Pro 12.9" 5th Gen Wi-Fi (2021)
8 - 16 GB LPDDR4X |
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Apple iPad Air 10.9" 5th Gen Wi-Fi (2022)
8 GB LPDDR4X |
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Apple iPhone 13 Pro 6.1" (2021)
6 GB LPDDR4X |
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Apple iPhone 13 mini 5.4" (2021)
4 GB LPDDR4X |
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Apple iPhone SE 3rd Gen 4.7" (2022)
3 GB LPDDR4X |
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Apple iPhone 14 6.1" (2022)
4 GB LPDDR4X |
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Apple iPhone 13 6.1" (2021)
4 GB LPDDR4X |
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Geekbench 6 - Multi Core
Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.
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Apple MacBook Pro 15" i9 2.9 Vega 16 (2018)
16 - 32 GB DDR4 |
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Apple MacBook Pro 15" i9 2.9 555X (2018)
16 - 32 GB DDR4 |
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Apple MacBook Pro 15" i9 2.9 Vega 20 (2018)
16 - 32 GB DDR4 |
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Apple MacBook Pro 15" i9 2.9 560X (2018)
16 - 32 GB DDR4 |
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Apple iPhone 13 Pro 6.1" (2021)
6 GB LPDDR4X |
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Apple iPhone 13 6.1" (2021)
4 GB LPDDR4X |
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Apple iPhone SE 3rd Gen 4.7" (2022)
3 GB LPDDR4X |
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Apple iPhone 13 Pro Max 6.7" (2021)
6 GB LPDDR4X |
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Apple iPhone 13 mini 5.4" (2021)
4 GB LPDDR4X |
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Geekbench 5 - Single Core
Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.|
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Apple MacBook Pro 14" M1 Pro 8-CPU 14-GPU (2021)
16 - 32 GB LPDDR5 |
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Apple MacBook Pro 14" M1 Pro 10-GPU 14-GPU (2021)
16 - 32 GB LPDDR5 |
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Apple MacBook Pro 14" M1 Pro 10-CPU 16-GPU (2021)
16 - 32 GB LPDDR5 |
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Apple MacBook Pro 16" M1 Pro 10-CPU 16-GPU (2021)
16 - 32 GB LPDDR5 |
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Apple iPhone 13 Pro 6.1" (2021)
6 GB LPDDR4X |
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Apple iPad mini 8.3" 6th Gen Wi-Fi (2021)
4 GB LPDDR4X |
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Apple iPad mini 8.3" 6th Gen Wi-Fi / Cellular (2021)
4 GB LPDDR4X |
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Apple iPhone 14 6.1" (2022)
4 GB LPDDR4X |
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Apple iPhone SE 3rd Gen 4.7" (2022)
3 GB LPDDR4X |
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Geekbench 5 - Multi Core
Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.|
|
Apple MacBook Pro 15" i9 2.9 Vega 20 (2018)
16 - 32 GB DDR4 |
|
|
|
|
Apple MacBook Pro 15" i9 2.9 555X (2018)
16 - 32 GB DDR4 |
|
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Apple MacBook Pro 15" i9 2.9 Vega 16 (2018)
16 - 32 GB DDR4 |
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Apple Mac Pro 6-Core (Late 2013)
16 - 64 GB DDR3 |
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Apple iPhone 13 Pro 6.1" (2021)
6 GB LPDDR4X |
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Apple iPad mini 8.3" 6th Gen Wi-Fi / Cellular (2021)
4 GB LPDDR4X |
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Apple iPhone 13 mini 5.4" (2021)
4 GB LPDDR4X |
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Apple iPhone 13 Pro Max 6.7" (2021)
6 GB LPDDR4X |
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Apple iPhone 13 6.1" (2021)
4 GB LPDDR4X |
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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.|
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Apple iPhone 14 Pro 6.1" (2022)
6 GB LPDDR5 |
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Apple iPhone 14 Pro Max 6.7" (2022)
6 GB LPDDR5 |
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Apple iPhone 15 6.1" (2023)
6 GB LPDDR5 |
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Apple iMac 27" i5 3.2 Radeon M380 Retina 5K (Late 2015)
8 - 32 GB DDR3 |
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Apple iPhone 13 Pro 6.1" (2021)
6 GB LPDDR4X |
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Apple iPad mini 8.3" 6th Gen Wi-Fi (2021)
4 GB LPDDR4X |
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Apple iPhone 13 Pro Max 6.7" (2021)
6 GB LPDDR4X |
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Apple iPhone 14 Plus 6.7" (2022)
4 GB LPDDR4X |
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Apple iPad mini 8.3" 6th Gen Wi-Fi / Cellular (2021)
4 GB LPDDR4X |
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More benchmarks for
Apple iPhone 13 Pro 6.1" (2021)
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.
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