iPhone 14 Pro
Geekbench AI Score
4105
Single Precision Score
4536
Half Precision Score
4223
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1506
280.1 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11713
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12893
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12305
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (Q)
|
92% |
1656
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
5589
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
6404
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
5201
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9256
71.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7990
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20991
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23883
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23343
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4619
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4784
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1013
17.5 IPS |
