iPhone 12 Mini
Geekbench AI Score
1579
Single Precision Score
8509
Half Precision Score
8727
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 07:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
4618
858.7 IPS |
|
|
Image Classification (Q)
|
96% |
4536
847.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7359
119.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5220
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
33318
38.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
36886
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
99% |
3605
286.7 IPS |
|
|
Object Detection (Q)
|
91% |
3977
317.7 IPS |
|
|
Face Detection (SP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
6549
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
6760
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2600
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22380
172.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22050
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8307
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
59508
76.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64152
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11773
434.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11965
441.8 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2640
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3366
58.2 IPS |
