iPhone 14 Pro
Geekbench AI Score
4175
Single Precision Score
4566
Half Precision Score
4299
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 12:20 AM |
| Views | 9 |
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% |
1730
321.7 IPS |
|
|
Image Classification (HP)
|
100% |
1665
309.6 IPS |
|
|
Image Classification (Q)
|
96% |
1689
315.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2809
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11657
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12389
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11983
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (Q)
|
92% |
1773
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
6155
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
5179
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8841
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8252
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21342
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23852
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23045
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4995
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4814
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1039
18.0 IPS |
