iPad (9th generation)
Geekbench AI Score
1202
Single Precision Score
3458
Half Precision Score
713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 05:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
2654
493.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
293
4.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
28795
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3389
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
266
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
7124
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1707
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24314
187.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
987
7.71 IPS |
|
|
Style Transfer (SP)
|
100% |
5343
6.87 IPS |
|
|
Style Transfer (HP)
|
100% |
10171
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4462
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
601
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.1 IPS |
|
|
Text Classification (Q)
|
93% |
461
619.1 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
