iPhone 12 Mini
Geekbench AI Score
731
Single Precision Score
1648
Half Precision Score
1426
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
939
174.7 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
96% |
829
154.8 IPS |
|
|
Image Segmentation (SP)
|
0
|
||
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1561
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4343
5.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
3363
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
92% |
421
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (Q)
|
100% |
1501
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2136
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2920
22.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1618
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4857
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
5461
7.02 IPS |
|
|
Style Transfer (Q)
|
96% |
4224
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1060
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1619
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (Q)
|
93% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
662
11.4 IPS |
