iPhone 14 Pro
Geekbench AI Score
3329
Single Precision Score
6199
Half Precision Score
5067
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | FAAlzhrani |
| Upload Date | April 18 2026 05:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.2 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2655
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6197
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15036
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12928
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2107
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5335
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11596
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8154
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18015
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28975
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23335
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4740
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6988
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.0 IPS |
