iPhone 14 Pro
Geekbench AI Score
4159
Single Precision Score
4518
Half Precision Score
4279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
1502
279.4 IPS |
|
|
Image Classification (Q)
|
96% |
1649
307.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2785
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11687
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12400
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11830
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (Q)
|
92% |
1815
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
5566
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
6374
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
5193
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9150
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8353
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20995
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23357
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22864
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4206
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
