G iPad mini iPad mini (5th generation)
Geekbench AI Score
647
Single Precision Score
1074
Half Precision Score
972
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.7 IPS |
|
|
Image Classification (Q)
|
96% |
540
100.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1083
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
99% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
92% |
598
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
100% |
1220
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
921
7.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
1624
12.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1411
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2310
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3901
5.02 IPS |
|
|
Style Transfer (Q)
|
96% |
3845
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
746
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.3 IPS |
|
|
Text Classification (Q)
|
93% |
560
751.3 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1001
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1013
17.5 IPS |
