iPad (9th generation)
Geekbench AI Score
1109
Single Precision Score
3431
Half Precision Score
703
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 05 2024 09:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
527
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
2646
492.0 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
276
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
28407
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3379
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
344
4.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1786
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22712
175.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1013
7.91 IPS |
|
|
Style Transfer (SP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
10328
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4405
5.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4225
156.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
612
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
742
989.7 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (Q)
|
93% |
441
591.9 IPS |
|
|
Machine Translation (SP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
990
17.1 IPS |
