iPhone 12 Mini
Geekbench AI Score
1621
Single Precision Score
8706
Half Precision Score
8637
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
639
118.8 IPS |
|
|
Image Classification (HP)
|
100% |
2869
533.5 IPS |
|
|
Image Classification (Q)
|
96% |
3045
568.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5003
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5283
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
37288
43.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
36857
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
99% |
3637
289.3 IPS |
|
|
Object Detection (Q)
|
91% |
3218
257.1 IPS |
|
|
Face Detection (SP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
7141
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
6700
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2597
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24652
189.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
24034
187.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8143
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66809
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64476
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13510
498.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13663
504.5 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3969
68.6 IPS |
