iPad (9th generation)
Geekbench AI Score
1737
Single Precision Score
3116
Half Precision Score
2596
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 05 2026 09:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1450
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6600
7.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
5834
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1854
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3117
24.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5873
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4346
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7641
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
14436
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12306
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2699
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2177
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2218
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3042
52.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3020
52.2 IPS |
