iPad (9th generation)
Geekbench AI Score
1170
Single Precision Score
3546
Half Precision Score
729
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | HippoPCBuilder |
| Upload Date | September 17 2024 08:33 PM |
| Views | 5 |
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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.3 IPS |
|
|
Image Classification (Q)
|
97% |
273
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
306
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
28796
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3455
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
2386
189.2 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7113
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
2005
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24385
187.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1080
8.44 IPS |
|
|
Style Transfer (SP)
|
100% |
5474
7.04 IPS |
|
|
Style Transfer (HP)
|
100% |
10901
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4683
6.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
631
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.8 IPS |
|
|
Text Classification (HP)
|
100% |
429
573.3 IPS |
|
|
Text Classification (Q)
|
93% |
428
574.2 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
986
17.0 IPS |
