iPad (9th generation)
Geekbench AI Score
1111
Single Precision Score
3466
Half Precision Score
717
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:41 AM |
| Views | 2 |
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% |
529
98.3 IPS |
|
|
Image Classification (HP)
|
100% |
2757
512.6 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
29241
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3320
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (Q)
|
94% |
286
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
358
4.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1670
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23287
179.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1045
8.17 IPS |
|
|
Style Transfer (SP)
|
100% |
5294
6.81 IPS |
|
|
Style Transfer (HP)
|
100% |
10419
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4668
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
615
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
736
982.1 IPS |
|
|
Text Classification (HP)
|
100% |
455
606.7 IPS |
|
|
Text Classification (Q)
|
93% |
449
602.1 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
962
16.6 IPS |
