iPad (9th generation)
Geekbench AI Score
1766
Single Precision Score
3151
Half Precision Score
2600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
799
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
96% |
968
180.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1444
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3633
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6575
7.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
5840
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
97% |
1566
124.7 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1835
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5862
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4322
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7683
9.88 IPS |
|
|
Style Transfer (HP)
|
100% |
14577
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12441
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2178
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2224
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3207
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
