iPhone 12 Mini
Geekbench AI Score
2698
Single Precision Score
13417
Half Precision Score
13106
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hellsegga |
| Upload Date | August 21 2025 08:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| 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 | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (Q)
|
96% |
4893
913.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8533
138.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9202
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5188
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
60785
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
61788
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
6475
515.0 IPS |
|
|
Object Detection (Q)
|
91% |
5055
403.9 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
14026
166.7 IPS |
|
|
Face Detection (Q)
|
100% |
11833
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4714
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37188
286.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37146
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13063
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
108054
138.9 IPS |
|
|
Style Transfer (Q)
|
96% |
100440
129.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19521
720.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18811
694.6 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5524
95.5 IPS |
