iPad (9th generation)
Geekbench AI Score
1665
Single Precision Score
3075
Half Precision Score
2554
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 09:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
797
148.1 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6564
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
5818
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1805
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2983
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5498
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4091
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7448
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
14517
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12406
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2595
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3221
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3173
54.8 IPS |
