iPad (9th generation)
Geekbench AI Score
1330
Single Precision Score
2456
Half Precision Score
2106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
604
112.3 IPS |
|
|
Image Classification (HP)
|
100% |
951
176.8 IPS |
|
|
Image Classification (Q)
|
96% |
678
126.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1172
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4049
4.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
4406
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
97% |
1154
91.9 IPS |
|
|
Object Detection (Q)
|
94% |
881
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (Q)
|
100% |
1413
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2491
19.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
4556
35.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
3953
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4228
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
11220
14.4 IPS |
|
|
Style Transfer (Q)
|
96% |
7952
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2024
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
1340
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2281
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2780
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2738
47.3 IPS |
