iPhone 14 Pro
Geekbench AI Score
4203
Single Precision Score
4583
Half Precision Score
4303
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1738
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2821
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11767
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12815
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12469
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
1935
153.4 IPS |
|
|
Object Detection (Q)
|
92% |
1740
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
6214
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
5060
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9221
71.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8394
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21354
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24144
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23414
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1032
17.8 IPS |
