iPhone 14 Pro
Geekbench AI Score
3322
Single Precision Score
6202
Half Precision Score
5072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:39 PM |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2598
483.1 IPS |
|
|
Image Classification (Q)
|
96% |
1799
336.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5175
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14856
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12641
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5887
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11652
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8102
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18269
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29072
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24159
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5101
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2832
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4838
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7004
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7046
121.8 IPS |
