iPhone 12
Geekbench AI Score
1980
Single Precision Score
3136
Half Precision Score
2741
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 01 2026 08:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1150
213.8 IPS |
|
|
Image Classification (HP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (Q)
|
96% |
1375
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1940
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4095
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
8777
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7783
9.12 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (HP)
|
97% |
2034
161.9 IPS |
|
|
Object Detection (Q)
|
94% |
1434
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
2381
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4039
31.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8166
63.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3283
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5944
7.64 IPS |
|
|
Style Transfer (HP)
|
100% |
4876
6.27 IPS |
|
|
Style Transfer (Q)
|
96% |
4029
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2253
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1920
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3166
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2494
43.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3588
62.0 IPS |
