iPhone 14 Pro
Geekbench AI Score
3569
Single Precision Score
6192
Half Precision Score
5046
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | msAlzahrani |
| Upload Date | December 16 2025 11:19 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1418
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2554
475.0 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2636
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7159
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13331
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3455
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6110
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11521
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7933
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19161
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29744
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24468
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4128
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3857
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4844
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3637
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6704
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6719
116.1 IPS |
