iPad mini (5th generation)
Geekbench AI Score
666
Single Precision Score
1103
Half Precision Score
987
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | February 06 2025 06:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
383
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.4 IPS |
|
|
Image Classification (Q)
|
96% |
544
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1113
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
99% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
92% |
595
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (Q)
|
100% |
1188
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
956
7.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
1684
13.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1467
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2522
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4035
5.19 IPS |
|
|
Style Transfer (Q)
|
96% |
3888
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
894
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
783
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.3 IPS |
|
|
Text Classification (HP)
|
100% |
563
750.9 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.0 IPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1029
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
