iPad (9th generation)
Geekbench AI Score
1138
Single Precision Score
3558
Half Precision Score
717
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (Q)
|
97% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
294
4.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
27034
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3524
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (Q)
|
94% |
284
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
7271
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1814
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22717
175.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1024
8.00 IPS |
|
|
Style Transfer (SP)
|
100% |
5090
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
10992
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4606
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
623
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
714
952.7 IPS |
|
|
Text Classification (HP)
|
100% |
429
573.0 IPS |
|
|
Text Classification (Q)
|
93% |
424
568.9 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
