iPad mini (5th generation)
Geekbench AI Score
667
Single Precision Score
1091
Half Precision Score
997
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
383
71.2 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
793
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1123
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
99% |
726
57.6 IPS |
|
|
Object Detection (Q)
|
92% |
597
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (Q)
|
100% |
1225
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
995
7.67 IPS |
|
|
Depth Estimation (HP)
|
98% |
1671
12.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1480
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2439
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4089
5.26 IPS |
|
|
Style Transfer (Q)
|
96% |
3847
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
803
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
285
381.0 IPS |
|
|
Text Classification (HP)
|
100% |
568
757.8 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.2 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1051
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |
