iPad (9th generation)
Geekbench AI Score
1531
Single Precision Score
2818
Half Precision Score
2285
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 01:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (Q)
|
96% |
948
177.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1236
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
4653
5.45 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
97% |
1426
113.5 IPS |
|
|
Object Detection (Q)
|
94% |
1115
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
100% |
1110
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2522
19.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5702
44.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3845
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6394
8.22 IPS |
|
|
Style Transfer (HP)
|
100% |
12867
16.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11703
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2765
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1855
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1393
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2288
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3061
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3059
52.9 IPS |
