iPhone 12 Pro
Geekbench AI Score
2355
Single Precision Score
3599
Half Precision Score
3001
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 12:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.6 IPS |
|
|
Image Classification (HP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (Q)
|
99% |
1467
273.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1006
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4644
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
9924
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
8835
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
97% |
1718
136.8 IPS |
|
|
Object Detection (Q)
|
94% |
1324
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
2162
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4136
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6741
52.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3484
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12134
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19721
25.4 IPS |
|
|
Style Transfer (Q)
|
100% |
19623
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2437
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2898
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
2061
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2931
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2727
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2738
47.3 IPS |
