iPhone 14 Pro
Geekbench AI Score
3450
Single Precision Score
6247
Half Precision Score
5114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 04:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2629
488.9 IPS |
|
|
Image Classification (Q)
|
96% |
1792
334.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6583
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
15484
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13292
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6105
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5964
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11673
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8117
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18793
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29223
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24295
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4780
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4759
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6968
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7012
121.2 IPS |
