iPhone 12 Mini
Geekbench AI Score
1965
Single Precision Score
2223
Half Precision Score
2115
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.1 IPS |
|
|
Image Classification (Q)
|
96% |
327
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1845
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9689
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
8690
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
92% |
589
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
3130
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3853
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5555
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5247
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12701
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13857
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
13257
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1374
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3830
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
98% |
507
8.76 IPS |
