iPad (9th generation)
Geekbench AI Score
1194
Single Precision Score
3574
Half Precision Score
747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
2691
500.5 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3280
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
28455
33.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
3427
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6924
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
417
4.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
2012
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23537
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1080
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
5202
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
10735
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4649
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (Q)
|
93% |
454
609.2 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.3 IPS |
