iPad (9th generation)
Geekbench AI Score
1730
Single Precision Score
3160
Half Precision Score
2606
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:01 PM |
| Views | 2 |
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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
5885
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
97% |
1619
128.9 IPS |
|
|
Object Detection (Q)
|
94% |
1167
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1861
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5958
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4352
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7812
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14155
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12224
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2152
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3217
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3226
55.8 IPS |
