iPhone 12 Mini
Geekbench AI Score
1933
Single Precision Score
2197
Half Precision Score
2120
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Teva |
| Upload Date | January 26 2026 07:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
96% |
345
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1597
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6156
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
9376
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
8509
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
92% |
612
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3848
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5683
43.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5182
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12694
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13668
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13281
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1583
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
98% |
497
8.59 IPS |
