iPhone 14 Pro
Geekbench AI Score
3384
Single Precision Score
6219
Half Precision Score
5073
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2591
481.8 IPS |
|
|
Image Classification (Q)
|
96% |
1829
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2662
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6183
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14973
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12789
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2082
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3457
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5891
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11600
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8089
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17810
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28702
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23763
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3898
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5166
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3908
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4891
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6932
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6858
118.5 IPS |
