iPhone 14 Pro
Geekbench AI Score
3446
Single Precision Score
6282
Half Precision Score
5120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 10:03 AM |
| Views | 3 |
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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.0 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
15500
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13284
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2133
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6112
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3500
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5967
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11686
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8127
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29203
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24519
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3909
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4712
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7087
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
