iPad mini (5th generation)
Geekbench AI Score
600
Single Precision Score
1010
Half Precision Score
903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ugurpro |
| Upload Date | May 10 2025 03:46 PM |
| Views | 8 |
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% |
375
69.8 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.8 IPS |
|
|
Image Classification (Q)
|
96% |
505
94.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1032
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1018
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
962
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
92% |
545
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1714
20.4 IPS |
|
|
Face Detection (Q)
|
100% |
1036
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
813
6.27 IPS |
|
|
Depth Estimation (HP)
|
98% |
1456
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1374
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2041
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3516
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
3311
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
582
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
693
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.2 IPS |
|
|
Text Classification (HP)
|
100% |
563
750.8 IPS |
|
|
Text Classification (Q)
|
93% |
560
751.9 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.40 IPS |
|
|
Machine Translation (HP)
|
98% |
930
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
