iPhone 14 Pro
Geekbench AI Score
3378
Single Precision Score
6240
Half Precision Score
5101
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 08:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.2 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6332
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15090
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12948
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2935
233.7 IPS |
|
|
Object Detection (Q)
|
94% |
2102
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5837
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11624
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8062
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18275
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28902
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24090
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7117
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7084
122.4 IPS |
