iPhone 14 Pro
Geekbench AI Score
3430
Single Precision Score
6101
Half Precision Score
4903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 06:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.6 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6365
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14617
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12373
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5967
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3375
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5942
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11428
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7920
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17568
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28914
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21437
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3869
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4745
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6674
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6571
113.6 IPS |
