[2021] Tablet: Apple iPad (Gen 9) [MK2K3B/A] [A2602] iPad (9th generation)
Geekbench AI Score
1648
Single Precision Score
2759
Half Precision Score
2297
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | inc7007 |
| Upload Date | August 17 2024 04:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (9th generation) |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
767
142.6 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (Q)
|
99% |
1150
214.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6685
7.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
5844
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1325
105.5 IPS |
|
|
Object Detection (Q)
|
94% |
1013
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
1665
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4884
37.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
2550
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7603
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
13911
17.9 IPS |
|
|
Style Transfer (Q)
|
100% |
13921
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2125
78.7 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2494
43.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2501
43.2 IPS |
