iPad (9th generation)
Geekbench AI Score
891
Single Precision Score
1054
Half Precision Score
428
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
97% |
179
33.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
257
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1223
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
214
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
277
3.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
2386
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3064
23.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
733
5.73 IPS |
|
|
Style Transfer (SP)
|
100% |
5659
7.27 IPS |
|
|
Style Transfer (HP)
|
100% |
6700
8.61 IPS |
|
|
Style Transfer (Q)
|
96% |
2069
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
435
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.5 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.9 IPS |
|
|
Text Classification (Q)
|
93% |
393
527.3 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
98% |
242
4.18 IPS |
