iPhone 14 Pro
Geekbench AI Score
3389
Single Precision Score
6204
Half Precision Score
5079
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.7 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
15205
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12872
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11605
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8101
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17983
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28992
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24005
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6793
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
