iPhone 12 Pro
Geekbench AI Score
2736
Single Precision Score
4556
Half Precision Score
3823
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | January 28 2025 10:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5417
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
10770
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9599
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
97% |
2215
176.4 IPS |
|
|
Object Detection (Q)
|
94% |
1596
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
2763
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4781
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9595
74.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6689
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13322
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21827
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18973
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2888
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3019
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3584
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3315
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3782
65.4 IPS |
