iPad mini (5th generation)
Geekbench AI Score
678
Single Precision Score
1134
Half Precision Score
1015
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 16 2024 01:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.7 IPS |
|
|
Image Classification (HP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (Q)
|
96% |
554
103.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1220
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
1139
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
99% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
92% |
598
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
100% |
1240
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1010
7.78 IPS |
|
|
Depth Estimation (HP)
|
98% |
1793
13.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1577
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2487
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4181
5.37 IPS |
|
|
Style Transfer (Q)
|
96% |
3979
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
819
30.2 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.1 IPS |
|
|
Text Classification (HP)
|
100% |
562
749.5 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.1 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
