iPad (9th generation)
Geekbench AI Score
941
Single Precision Score
1134
Half Precision Score
510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 13 2025 09:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.2 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1267
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
2522
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3450
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1040
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
6180
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8686
11.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2082
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.3 IPS |
|
|
Text Classification (HP)
|
100% |
390
521.0 IPS |
|
|
Text Classification (Q)
|
93% |
390
523.2 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.26 IPS |
|
|
Machine Translation (Q)
|
98% |
245
4.23 IPS |
