iPad (9th generation)
Geekbench AI Score
1708
Single Precision Score
3133
Half Precision Score
2577
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:17 AM |
| Views | 3 |
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% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1455
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
5694
6.67 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1594
126.9 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1821
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3099
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5922
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4329
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7628
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
14061
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12200
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3234
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3159
54.6 IPS |
