iPad (9th generation)
Geekbench AI Score
862
Single Precision Score
1122
Half Precision Score
457
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 01:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.3 IPS |
|
|
Image Classification (Q)
|
97% |
235
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
335
5.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
1364
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.3 IPS |
|
|
Object Detection (Q)
|
94% |
234
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (Q)
|
100% |
174
2.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
2419
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3551
27.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
938
7.32 IPS |
|
|
Style Transfer (SP)
|
100% |
6189
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8319
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2126
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.0 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (Q)
|
93% |
389
522.5 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
98% |
258
4.46 IPS |
