iPhone 14 Pro
Geekbench AI Score
4125
Single Precision Score
4518
Half Precision Score
4226
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.3 IPS |
|
|
Image Classification (Q)
|
96% |
1610
300.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2821
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11740
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12808
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12393
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1907
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (Q)
|
92% |
1733
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
5382
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4996
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9013
69.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8567
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21322
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24229
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23614
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4795
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4941
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4191
154.7 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
4519
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4473
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
985
17.0 IPS |
