iPad (9th generation)
Geekbench AI Score
1053
Single Precision Score
3071
Half Precision Score
588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | September 17 2025 07:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
578
107.5 IPS |
|
|
Image Classification (HP)
|
100% |
2698
501.7 IPS |
|
|
Image Classification (Q)
|
97% |
262
48.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
284
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2936
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
25316
29.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2901
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (Q)
|
94% |
229
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
6055
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
1421
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20375
157.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
745
5.82 IPS |
|
|
Style Transfer (SP)
|
100% |
3775
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
7640
9.82 IPS |
|
|
Style Transfer (Q)
|
96% |
3298
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3487
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
455
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (Q)
|
93% |
442
593.4 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
