iPad (9th generation)
Geekbench AI Score
1526
Single Precision Score
2548
Half Precision Score
2160
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
717
133.3 IPS |
|
|
Image Classification (HP)
|
100% |
1109
206.3 IPS |
|
|
Image Classification (Q)
|
99% |
1119
208.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4198
4.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
4134
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
97% |
1260
100.3 IPS |
|
|
Object Detection (Q)
|
94% |
1002
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (Q)
|
100% |
1609
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2803
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4786
37.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
2471
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7074
9.09 IPS |
|
|
Style Transfer (HP)
|
100% |
13514
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13435
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2123
78.7 IPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2501
43.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2509
43.4 IPS |
