iPad (9th generation)
Geekbench AI Score
1191
Single Precision Score
3606
Half Precision Score
1440
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:25 AM |
| Views | 2 |
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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2701
502.2 IPS |
|
|
Image Classification (Q)
|
99% |
2695
502.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
100% |
486
7.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
29260
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3407
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7124
84.6 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1946
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23756
183.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
23748
183.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5433
6.98 IPS |
|
|
Style Transfer (HP)
|
100% |
10802
13.9 IPS |
|
|
Style Transfer (Q)
|
100% |
10859
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.5 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.7 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1039
17.9 IPS |
