iPhone 14 Pro
Geekbench AI Score
3563
Single Precision Score
6174
Half Precision Score
5033
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 06:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1425
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.1 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7107
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15593
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13287
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6084
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11582
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8043
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19146
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29645
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24431
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3876
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4755
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6520
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6627
114.5 IPS |
