iPhone 12
Geekbench AI Score
1647
Single Precision Score
2853
Half Precision Score
2378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 12:33 AM |
| Views | 1 |
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% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
1033
192.2 IPS |
|
|
Image Classification (Q)
|
96% |
800
149.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1297
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3190
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7448
8.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
6451
7.56 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1192
94.9 IPS |
|
|
Object Detection (Q)
|
94% |
887
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
100% |
1695
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2645
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5089
39.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3777
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8552
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13552
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11518
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1918
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2880
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2879
49.8 IPS |
