iPhone 12 Mini
Geekbench AI Score
1740
Single Precision Score
1944
Half Precision Score
1775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:51 AM |
| Views | 4 |
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% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
96% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1298
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6056
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
7051
8.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
5500
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
680
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
92% |
629
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3691
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4489
34.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4112
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11213
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13693
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10643
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1425
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2316
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2308
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
98% |
496
8.58 IPS |
