iPad mini (5th generation)
Geekbench AI Score
664
Single Precision Score
1099
Half Precision Score
987
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
392
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
96% |
547
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1190
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1162
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1122
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (HP)
|
99% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
92% |
594
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
1217
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (HP)
|
98% |
1680
13.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1457
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2419
3.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4067
5.23 IPS |
|
|
Style Transfer (Q)
|
96% |
3817
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
759
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.4 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.7 IPS |
|
|
Text Classification (Q)
|
93% |
563
756.0 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1041
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
