iPad mini (5th generation)
Geekbench AI Score
606
Single Precision Score
1017
Half Precision Score
888
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | February 17 2025 05:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
377
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
96% |
541
101.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1195
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1109
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
92% |
600
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1805
21.4 IPS |
|
|
Face Detection (Q)
|
100% |
1216
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
947
7.29 IPS |
|
|
Depth Estimation (HP)
|
98% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1413
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2242
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4693
6.03 IPS |
|
|
Style Transfer (Q)
|
96% |
4389
5.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
700
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.7 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.6 IPS |
|
|
Text Classification (Q)
|
93% |
516
692.2 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
98% |
756
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
400
6.92 IPS |
