iPhone 12 Mini
Geekbench AI Score
1661
Single Precision Score
10324
Half Precision Score
8626
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
762
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
4526
841.8 IPS |
|
|
Image Classification (Q)
|
96% |
4359
814.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
467
7.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
4906
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
57526
67.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59177
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
99% |
5328
423.9 IPS |
|
|
Object Detection (Q)
|
93% |
4896
390.7 IPS |
|
|
Face Detection (SP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
11046
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
10415
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34590
266.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42030
328.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8839
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93557
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
100765
130.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15326
565.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16400
605.6 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2697
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1983
34.3 IPS |
