iPhone 14 Pro
Geekbench AI Score
4186
Single Precision Score
4576
Half Precision Score
4313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yaros1av0101 |
| Upload Date | September 20 2025 08:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (HP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2813
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11809
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12860
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12494
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
1955
155.0 IPS |
|
|
Object Detection (Q)
|
92% |
1767
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
6273
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
5131
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9019
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8388
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21336
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23766
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23537
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4793
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
