iPad mini (5th generation)
Geekbench AI Score
600
Single Precision Score
1018
Half Precision Score
910
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ponytoilet |
| Upload Date | June 01 2025 01:33 PM |
| Views | 6 |
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 | iPad11,1 |
| Motherboard | J210AP |
| 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% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
96% |
523
97.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
732
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
988
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (HP)
|
99% |
656
52.1 IPS |
|
|
Object Detection (Q)
|
92% |
532
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (Q)
|
100% |
1129
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
800
6.16 IPS |
|
|
Depth Estimation (HP)
|
98% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1345
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2083
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
3628
4.66 IPS |
|
|
Style Transfer (Q)
|
96% |
3347
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
718
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.5 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.2 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (HP)
|
98% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
