iPhone 12 Mini
Geekbench AI Score
2607
Single Precision Score
13495
Half Precision Score
13046
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 07:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
4455
828.6 IPS |
|
|
Image Classification (Q)
|
96% |
4700
877.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8547
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8231
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4297
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
61862
72.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
61521
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.1 IPS |
|
|
Object Detection (HP)
|
99% |
5902
469.5 IPS |
|
|
Object Detection (Q)
|
91% |
5129
409.8 IPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
14421
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
12055
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4593
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38586
297.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
37569
293.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13857
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
105665
135.8 IPS |
|
|
Style Transfer (Q)
|
96% |
98733
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19812
731.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21139
780.6 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2242
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5521
95.4 IPS |
