iPad (9th generation)
Geekbench AI Score
1737
Single Precision Score
3120
Half Precision Score
2541
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 02:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
834
155.1 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1221
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3333
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6368
7.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
5658
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
97% |
1556
123.9 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
1822
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3088
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5844
45.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4318
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7409
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
14335
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12249
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2156
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2283
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2234
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3143
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3122
53.9 IPS |
