iPhone 14 Pro
Geekbench AI Score
4131
Single Precision Score
4634
Half Precision Score
4257
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:30 PM |
| Views | 2 |
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% |
1562
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.6 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2858
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11831
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12847
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12254
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (Q)
|
92% |
1720
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
5738
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
5207
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8732
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9482
73.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7944
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21040
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23906
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23340
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4254
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
