iPhone 12 Mini
Geekbench AI Score
2721
Single Precision Score
12313
Half Precision Score
12191
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 20 2026 11:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
4631
861.1 IPS |
|
|
Image Classification (Q)
|
96% |
4798
896.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8289
134.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8142
132.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5176
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
59396
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61703
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
99% |
5517
438.9 IPS |
|
|
Object Detection (Q)
|
91% |
4835
386.4 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
11835
140.6 IPS |
|
|
Face Detection (Q)
|
100% |
10139
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4852
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36522
281.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
35721
279.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14004
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95045
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
91587
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2886
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18399
679.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18768
693.0 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2361
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4235
73.2 IPS |
