iPhone 12 Mini
Geekbench AI Score
2003
Single Precision Score
2252
Half Precision Score
2165
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
96% |
339
63.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1808
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9155
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
8299
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.4 IPS |
|
|
Object Detection (Q)
|
92% |
653
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
3354
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4503
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5686
43.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5324
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13069
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13739
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13413
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1500
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3693
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (Q)
|
98% |
514
8.89 IPS |
