iPad (9th generation)
Geekbench AI Score
1656
Single Precision Score
3126
Half Precision Score
2592
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 20 2025 02:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (Q)
|
96% |
974
182.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1431
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3517
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
5810
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (HP)
|
97% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3054
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5861
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4326
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7605
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
14496
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12360
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2152
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3131
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3127
54.0 IPS |
