iPad (9th generation)
Geekbench AI Score
1640
Single Precision Score
2872
Half Precision Score
2388
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | October 24 2025 02:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
814
151.5 IPS |
|
|
Image Classification (HP)
|
100% |
1365
253.9 IPS |
|
|
Image Classification (Q)
|
96% |
985
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1373
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
5357
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
97% |
1167
92.9 IPS |
|
|
Object Detection (Q)
|
94% |
1084
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
100% |
899
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2530
19.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5735
44.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3710
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6662
8.56 IPS |
|
|
Style Transfer (HP)
|
100% |
14498
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12279
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1984
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2183
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2643
3.53 KIPS |
|
|
Text Classification (Q)
|
93% |
2713
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3176
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3179
54.9 IPS |
