iPad (9th generation)
Geekbench AI Score
1597
Single Precision Score
2696
Half Precision Score
2292
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:16 AM |
| Views | 1 |
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% |
742
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.0 IPS |
|
|
Image Classification (Q)
|
96% |
861
160.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1043
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3376
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
5498
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
97% |
1310
104.3 IPS |
|
|
Object Detection (Q)
|
94% |
975
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2563
30.5 IPS |
|
|
Face Detection (Q)
|
100% |
1562
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2921
22.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4851
37.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
3742
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7454
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
13495
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11581
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2820
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1434
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2429
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2401
41.5 IPS |
