iPhone 14 Pro
Geekbench AI Score
4145
Single Precision Score
4562
Half Precision Score
4260
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | October 12 2025 08:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.2 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11799
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12810
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12533
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (Q)
|
92% |
1717
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
5169
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8560
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9068
69.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8299
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21263
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23780
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23638
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5060
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4290
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
4570
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4563
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
