iPhone 12
Geekbench AI Score
291
Single Precision Score
390
Half Precision Score
282
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | amAlbariqi |
| Upload Date | November 19 2025 12:25 PM |
| 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 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
96% |
519
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5656
6.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
4947
5.80 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (HP)
|
97% |
794
63.2 IPS |
|
|
Object Detection (Q)
|
94% |
620
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
100% |
1101
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1408
10.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3254
25.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
720
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
6622
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
10162
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
8649
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
418
15.4 IPS |
|
|
Text Classification (SP)
|
0
|
||
|
Text Classification (HP)
|
0
|
||
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
0
|
