iPhone 12 Mini
Geekbench AI Score
1894
Single Precision Score
2161
Half Precision Score
2086
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hellsegga |
| Upload Date | August 21 2025 07:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
344
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
96% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1627
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6228
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
8787
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
7878
9.24 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
92% |
598
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4108
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5593
43.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5243
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12531
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13703
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13179
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1500
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3647
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
