iPhone 12 Mini
Geekbench AI Score
2725
Single Precision Score
4548
Half Precision Score
3998
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 15 2024 05:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (Q)
|
99% |
1908
355.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1787
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
10760
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9428
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
97% |
2194
174.7 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4733
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2687
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4818
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9512
73.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
9546
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13171
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21607
27.8 IPS |
|
|
Style Transfer (Q)
|
100% |
21702
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3009
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3375
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3401
58.8 IPS |
