iPhone 12
Geekbench AI Score
1639
Single Precision Score
8686
Half Precision Score
8694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.1 IPS |
|
|
Image Classification (Q)
|
96% |
3053
570.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5040
81.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5421
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3018
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
37128
43.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36825
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (HP)
|
99% |
3601
286.4 IPS |
|
|
Object Detection (Q)
|
91% |
3217
257.1 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
7154
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
6778
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2672
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24521
188.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
23646
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8500
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66708
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64141
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13486
498.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13657
504.3 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2252
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3981
68.8 IPS |
