iPhone 12
Geekbench AI Score
1642
Single Precision Score
2851
Half Precision Score
2384
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:13 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% |
653
121.5 IPS |
|
|
Image Classification (HP)
|
100% |
1037
192.9 IPS |
|
|
Image Classification (Q)
|
96% |
789
147.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
7487
8.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
6453
7.56 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.6 IPS |
|
|
Object Detection (HP)
|
97% |
1216
96.8 IPS |
|
|
Object Detection (Q)
|
94% |
936
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1703
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2656
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5023
38.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3811
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8558
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13611
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11372
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2433
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1924
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2361
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2346
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2877
49.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2875
49.7 IPS |
