iPad (9th generation)
Geekbench AI Score
1754
Single Precision Score
3133
Half Precision Score
2554
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1455
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3621
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6548
7.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
5764
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
97% |
1574
125.3 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1847
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3144
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5859
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4346
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7643
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
14385
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
10144
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2168
80.1 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2265
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2251
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3136
54.2 IPS |
