iPhone 14 Pro
Geekbench AI Score
4163
Single Precision Score
4560
Half Precision Score
4270
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:17 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% |
1784
331.8 IPS |
|
|
Image Classification (HP)
|
100% |
1647
306.3 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2793
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11808
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12787
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12466
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (Q)
|
92% |
1804
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
5234
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8669
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9311
71.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8514
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20689
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23780
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23372
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4262
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4536
6.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4478
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
