iPad (9th generation)
Geekbench AI Score
1213
Single Precision Score
3659
Half Precision Score
756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | LulzSec |
| Upload Date | June 02 2025 06:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2808
522.2 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
3398
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
29302
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3549
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (Q)
|
94% |
295
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
7233
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
399
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2028
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24268
187.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1093
8.54 IPS |
|
|
Style Transfer (SP)
|
100% |
5670
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
11061
14.2 IPS |
|
|
Style Transfer (Q)
|
96% |
4837
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.5 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.5 IPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1077
18.6 IPS |
