iPhone 12 Mini
Geekbench AI Score
1928
Single Precision Score
2201
Half Precision Score
2096
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | daviangel |
| Upload Date | November 13 2025 08:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
386
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
96% |
330
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1635
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6114
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
8904
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8067
9.46 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
92% |
619
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3370
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5589
43.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5180
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12709
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13640
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13261
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1511
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
