[2021] Tablet: Apple iPad (Gen 9) [MK2K3B/A] [A2602] iPad (9th generation)
Geekbench AI Score
1181
Single Precision Score
3534
Half Precision Score
1425
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | inc7007 |
| Upload Date | August 17 2024 04:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
2752
511.8 IPS |
|
|
Image Classification (Q)
|
99% |
2711
505.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
100% |
497
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
3333
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
28774
33.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
3310
3.88 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1960
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22952
176.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
22736
175.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5464
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
11205
14.4 IPS |
|
|
Style Transfer (Q)
|
100% |
11270
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
628
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.5 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.3 IPS |
|
|
Text Classification (Q)
|
93% |
426
572.2 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
991
17.1 IPS |
