iPad (9th generation)
Geekbench AI Score
1708
Single Precision Score
3142
Half Precision Score
2766
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:03 PM |
| 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% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
99% |
1388
259.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6439
7.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
5718
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1832
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3120
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5934
45.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
5929
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7611
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
14117
18.1 IPS |
|
|
Style Transfer (Q)
|
100% |
14425
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2077
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3275
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3208
55.4 IPS |
