iPad (9th generation)
Geekbench AI Score
1150
Single Precision Score
3462
Half Precision Score
712
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2686
499.5 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
302
4.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
29121
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3481
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
285
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
5942
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
333
3.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1737
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22267
171.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1002
7.82 IPS |
|
|
Style Transfer (SP)
|
100% |
5068
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
10274
13.2 IPS |
|
|
Style Transfer (Q)
|
96% |
4416
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
602
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.5 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.1 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
