iPhone 12 Mini
Geekbench AI Score
2340
Single Precision Score
3651
Half Precision Score
3037
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | lensmich |
| Upload Date | August 16 2024 08:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (HP)
|
100% |
1472
273.7 IPS |
|
|
Image Classification (Q)
|
99% |
1470
274.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
993
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4697
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
8905
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
97% |
1699
135.3 IPS |
|
|
Object Detection (Q)
|
94% |
1328
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
2186
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4148
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7045
54.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3351
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12056
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19827
25.5 IPS |
|
|
Style Transfer (Q)
|
100% |
19751
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2998
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3323
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3295
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2705
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2710
46.8 IPS |
