iPhone 12
Geekbench AI Score
1637
Single Precision Score
2882
Half Precision Score
2363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 11:27 AM |
| Views | 2 |
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% |
682
126.7 IPS |
|
|
Image Classification (HP)
|
100% |
1096
203.9 IPS |
|
|
Image Classification (Q)
|
96% |
798
149.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7413
8.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
6421
7.53 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (HP)
|
97% |
1219
97.1 IPS |
|
|
Object Detection (Q)
|
94% |
902
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (Q)
|
100% |
1707
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2634
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5175
40.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
3680
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7789
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13996
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11485
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1922
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2345
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2886
49.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2773
47.9 IPS |
