iPad (9th generation)
Geekbench AI Score
1687
Single Precision Score
3113
Half Precision Score
2536
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1425
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3444
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6283
7.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
5629
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
97% |
1591
126.7 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1800
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3067
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5909
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4306
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7557
9.71 IPS |
|
|
Style Transfer (HP)
|
100% |
14137
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12176
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2099
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3040
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2861
49.4 IPS |
