iPad (9th generation)
Geekbench AI Score
1679
Single Precision Score
3125
Half Precision Score
2520
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1473
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3598
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
5771
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
97% |
1598
127.2 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1848
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3144
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5932
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4334
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7634
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
14115
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12207
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1663
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2144
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3110
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3050
52.7 IPS |
