iPhone 12
Geekbench AI Score
1615
Single Precision Score
8721
Half Precision Score
8607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 10:55 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% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
2861
532.0 IPS |
|
|
Image Classification (Q)
|
96% |
3002
560.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5313
86.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5315
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3037
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
37259
43.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
36827
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
99% |
3638
289.4 IPS |
|
|
Object Detection (Q)
|
91% |
3231
258.1 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
7086
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
6729
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24562
189.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
23887
186.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8469
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66337
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63968
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13558
500.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13673
504.9 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2114
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3955
68.4 IPS |
