iPad (9th generation)
Geekbench AI Score
1586
Single Precision Score
3029
Half Precision Score
2439
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 08:00 PM |
| Views | 1 |
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% |
814
151.4 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1440
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
4848
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (HP)
|
97% |
1578
125.6 IPS |
|
|
Object Detection (Q)
|
94% |
1134
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1725
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2795
21.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5723
44.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
3935
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5482
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
13239
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10519
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2656
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2027
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2252
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3054
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2972
51.4 IPS |
