iPhone 12 Mini
Geekbench AI Score
2710
Single Precision Score
13276
Half Precision Score
13270
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1282
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (Q)
|
96% |
4792
894.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8466
137.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9128
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5256
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
62740
73.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
61607
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
5759
458.1 IPS |
|
|
Object Detection (Q)
|
91% |
5313
424.5 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
14516
172.5 IPS |
|
|
Face Detection (Q)
|
100% |
12113
143.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4718
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39374
303.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
39894
311.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13215
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
106382
136.8 IPS |
|
|
Style Transfer (Q)
|
96% |
102354
132.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18695
690.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18821
695.0 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2300
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5526
95.5 IPS |
