iPad (9th generation)
Geekbench AI Score
1200
Single Precision Score
3441
Half Precision Score
708
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 09:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
581
108.0 IPS |
|
|
Image Classification (HP)
|
100% |
2611
485.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
296
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3201
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
28453
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3218
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (Q)
|
94% |
271
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
7459
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1951
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23567
181.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1014
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
5190
6.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10212
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4358
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
595
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
93% |
455
610.4 IPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
993
17.2 IPS |
