iPhone 12
Geekbench AI Score
1630
Single Precision Score
2870
Half Precision Score
2382
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (HP)
|
100% |
1086
202.0 IPS |
|
|
Image Classification (Q)
|
96% |
793
148.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3170
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
7451
8.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
6505
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1223
97.4 IPS |
|
|
Object Detection (Q)
|
94% |
923
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1708
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2736
21.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5199
40.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3795
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7633
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
13565
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11401
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1913
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2332
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2332
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2891
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2877
49.7 IPS |
