iPad (9th generation)
Geekbench AI Score
1155
Single Precision Score
3492
Half Precision Score
725
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 10:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
574
106.7 IPS |
|
|
Image Classification (HP)
|
100% |
2655
493.8 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
3355
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29419
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3401
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1269
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
23997
184.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
979
7.64 IPS |
|
|
Style Transfer (SP)
|
100% |
5189
6.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10434
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4507
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
620
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
468
624.4 IPS |
|
|
Text Classification (Q)
|
93% |
466
626.1 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1032
17.8 IPS |
