iPad (9th generation)
Geekbench AI Score
965
Single Precision Score
1829
Half Precision Score
1561
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:36 AM |
| 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% |
502
93.4 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (Q)
|
96% |
571
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3803
4.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
3447
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
97% |
870
69.3 IPS |
|
|
Object Detection (Q)
|
94% |
690
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (Q)
|
100% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1698
13.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
3757
29.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2505
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4205
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8486
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
7246
9.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1427
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
1643
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1611
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1489
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1775
30.7 IPS |
