iPad (9th generation)
Geekbench AI Score
1206
Single Precision Score
3443
Half Precision Score
713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 01:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
576
107.1 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.7 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
293
4.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
29216
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3301
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (Q)
|
94% |
276
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6945
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
1946
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23610
181.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1026
8.01 IPS |
|
|
Style Transfer (SP)
|
100% |
5285
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
10252
13.2 IPS |
|
|
Style Transfer (Q)
|
96% |
4356
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
598
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.8 IPS |
|
|
Text Classification (Q)
|
93% |
466
624.9 IPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
981
16.9 IPS |
