iPhone 14 Pro
Geekbench AI Score
4175
Single Precision Score
4656
Half Precision Score
4263
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 11:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.6 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11838
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12850
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12470
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (Q)
|
92% |
1758
140.3 IPS |
|
|
Face Detection (SP)
|
100% |
5256
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
6335
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
5063
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8983
69.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8326
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21280
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23939
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23508
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4681
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4641
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
