iPad (9th generation)
Geekbench AI Score
1737
Single Precision Score
3110
Half Precision Score
2598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 13 2025 09:05 PM |
| Views | 8 |
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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1461
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6642
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5806
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (HP)
|
97% |
1565
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1843
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3105
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5868
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4350
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7748
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
14386
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12277
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2153
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2247
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2235
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3029
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3057
52.8 IPS |
