iPhone 12 Mini
Geekbench AI Score
2703
Single Precision Score
11653
Half Precision Score
11225
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 13 2024 10:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.5 IPS |
|
|
Image Classification (Q)
|
96% |
4638
866.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5610
90.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5569
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5134
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
61111
71.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61065
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.2 IPS |
|
|
Object Detection (HP)
|
99% |
5886
468.3 IPS |
|
|
Object Detection (Q)
|
91% |
5363
428.5 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
14199
168.7 IPS |
|
|
Face Detection (Q)
|
100% |
12028
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4770
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37098
285.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
38152
298.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13183
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
98622
126.8 IPS |
|
|
Style Transfer (Q)
|
96% |
96881
125.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18529
684.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19123
706.1 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2269
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1948
33.7 IPS |
