iPad (9th generation)
Geekbench AI Score
1694
Single Precision Score
3118
Half Precision Score
2571
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
769
143.0 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1455
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3501
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5719
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1806
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3094
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5920
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4313
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7484
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
14183
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12106
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2157
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3099
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3099
53.6 IPS |
