iPad (9th generation)
Geekbench AI Score
1678
Single Precision Score
3132
Half Precision Score
2592
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 28 2025 11:10 PM |
| Views | 5 |
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
134.7 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.0 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1432
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3559
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
5683
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3017
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5877
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4329
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7632
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
14468
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12355
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2761
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2194
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3183
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3167
54.7 IPS |
