iPad (9th generation)
Geekbench AI Score
1662
Single Precision Score
3149
Half Precision Score
2621
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 10:03 PM |
| Views | 4 |
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% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1442
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6633
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
5841
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1864
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3079
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5882
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4349
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7803
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14722
18.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12590
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2193
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2255
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3084
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3185
55.0 IPS |
