iPhone 12 Mini
Geekbench AI Score
2691
Single Precision Score
4486
Half Precision Score
3740
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Tobias_b |
| Upload Date | November 11 2024 02:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2123
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
10439
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9221
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
97% |
2182
173.7 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (Q)
|
100% |
2700
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4723
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9304
71.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6564
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12970
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21207
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18396
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2834
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2998
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3497
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3329
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3743
64.7 IPS |
