iPhone 14 Pro
Geekbench AI Score
3361
Single Precision Score
6213
Half Precision Score
5046
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kazukied2 |
| Upload Date | December 27 2025 09:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
2619
487.0 IPS |
|
|
Image Classification (Q)
|
96% |
1795
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2656
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
15099
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12311
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2925
232.8 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6019
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11497
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8097
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18153
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28948
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24070
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5163
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3853
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6912
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.4 IPS |
