iPhone 14 Pro
Geekbench AI Score
3536
Single Precision Score
6203
Half Precision Score
5038
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.4 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6951
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15579
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13225
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6081
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11548
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7939
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18918
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29698
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24447
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4107
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3886
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4869
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6665
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6689
115.6 IPS |
