iPhone 14 Pro
Geekbench AI Score
3538
Single Precision Score
6117
Half Precision Score
4938
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 07:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2696
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7171
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15342
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13082
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6157
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12134
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8203
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19065
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28804
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23642
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4699
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5908
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5879
101.6 IPS |
