iPhone 14 Pro
Geekbench AI Score
4101
Single Precision Score
4553
Half Precision Score
4259
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:58 AM |
| 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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (Q)
|
96% |
1616
301.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2799
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11672
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12451
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11851
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (Q)
|
92% |
1748
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
5566
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
6355
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
5185
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8737
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9182
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8346
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21107
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23317
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22873
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4199
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
