iPad (9th generation)
Geekbench AI Score
1694
Single Precision Score
3115
Half Precision Score
2736
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
779
144.8 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
99% |
1384
258.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1257
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
5612
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1592
126.8 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3082
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5938
45.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
5935
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7461
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
14046
18.1 IPS |
|
|
Style Transfer (Q)
|
100% |
14088
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2077
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2143
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3167
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3104
53.6 IPS |
