iPhone 12 Mini
Geekbench AI Score
2297
Single Precision Score
3561
Half Precision Score
2993
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | hlovatt |
| Upload Date | August 17 2024 08:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1146
213.1 IPS |
|
|
Image Classification (HP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (Q)
|
99% |
1470
274.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1012
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
10346
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9001
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.9 IPS |
|
|
Object Detection (HP)
|
97% |
1713
136.4 IPS |
|
|
Object Detection (Q)
|
94% |
1310
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
2162
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4084
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6794
52.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3260
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12126
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19974
25.7 IPS |
|
|
Style Transfer (Q)
|
100% |
19962
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3902
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2949
109.2 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2907
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2738
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2729
47.2 IPS |
