iPad mini (5th generation)
Geekbench AI Score
595
Single Precision Score
932
Half Precision Score
853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | February 03 2025 01:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| 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% |
362
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.8 IPS |
|
|
Image Classification (Q)
|
96% |
468
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
600
9.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
972
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
99% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
92% |
486
38.8 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (Q)
|
100% |
1008
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
780
6.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1275
9.97 IPS |
|
|
Style Transfer (SP)
|
100% |
2100
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3656
4.70 IPS |
|
|
Style Transfer (Q)
|
96% |
3359
4.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
697
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
286
382.2 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.9 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.8 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
98% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
915
15.8 IPS |
