iPad (9th generation)
Geekbench AI Score
1157
Single Precision Score
3532
Half Precision Score
725
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | July 23 2025 10:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
2746
510.7 IPS |
|
|
Image Classification (Q)
|
97% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
311
5.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
28791
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3471
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1918
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23482
180.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1086
8.48 IPS |
|
|
Style Transfer (SP)
|
100% |
5121
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
11148
14.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4538
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
623
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.3 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.4 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
