iPhone 14 Pro
Geekbench AI Score
4159
Single Precision Score
4555
Half Precision Score
4313
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 06:35 PM |
| Views | 15 |
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% |
1716
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
1505
279.9 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2907
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2728
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11751
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12536
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11865
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (Q)
|
92% |
1757
140.3 IPS |
|
|
Face Detection (SP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
5067
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8529
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8922
68.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8455
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21663
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24256
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23719
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4500
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4867
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4853
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1073
18.5 IPS |
