iPhone 14 Pro
Geekbench AI Score
4148
Single Precision Score
4618
Half Precision Score
4274
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 12:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11793
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12852
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
92% |
1756
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
5525
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
5056
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8743
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9021
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8495
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21258
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23805
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23528
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4271
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4753
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
977
16.9 IPS |
