iPhone 12
Geekbench AI Score
1653
Single Precision Score
2869
Half Precision Score
2369
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:13 PM |
| 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% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.7 IPS |
|
|
Image Classification (Q)
|
96% |
778
145.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3176
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
7432
8.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
6560
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
97% |
1196
95.2 IPS |
|
|
Object Detection (Q)
|
94% |
920
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1704
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2711
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5326
41.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3737
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8590
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13593
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11503
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1918
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2338
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2889
49.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2780
48.0 IPS |
