iPhone 12
Geekbench AI Score
1650
Single Precision Score
2860
Half Precision Score
2370
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 23 2025 11:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
669
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
1056
196.4 IPS |
|
|
Image Classification (Q)
|
96% |
785
146.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1302
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
7492
8.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
6449
7.56 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1236
98.4 IPS |
|
|
Object Detection (Q)
|
94% |
907
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1705
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2660
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5192
40.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3776
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8501
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13593
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11303
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1914
70.7 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2335
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2340
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2873
49.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2879
49.7 IPS |
