iPad (9th generation)
Geekbench AI Score
1204
Single Precision Score
3488
Half Precision Score
720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 13 2025 09:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
584
108.6 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.7 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
29220
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3380
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (HP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (Q)
|
94% |
278
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
6995
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
1626
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22992
177.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
983
7.68 IPS |
|
|
Style Transfer (SP)
|
100% |
5307
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
10405
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4452
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
599
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (Q)
|
93% |
467
627.2 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1010
17.4 IPS |
